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Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling

The Essentials of Financial Modeling in Excel: A C oncise Guide to Concepts and Methods (Paperback): M Rees The Essentials of Financial Modeling in Excel: A C oncise Guide to Concepts and Methods (Paperback)
M Rees
R1,140 Discovery Miles 11 400 Ships in 12 - 17 working days

A concise and practical guide to financial modeling in Excel In The Essentials of Financial Modeling in Excel: A Concise Guide to Concepts and Methods, veteran quantitative modeling and business analysis expert Dr. Michael Rees delivers a practical and hands-on introduction to financial modeling in Excel. The author offers readers a well-structured and strategic toolkit to learn modeling from scratch, focusing on the core economic concepts and the structures commonly required within Excel models. Divided into six parts, the book discusses the use of models and the factors to consider when designing and building models so that they can be as powerful as possible, yet simple. . Readers will also find: The foundational structures and calculations most frequently used in modeling, including growth- and ratio-based methods, corkscrews, and waterfall analysis Walkthroughs of economic modeling, measurement, and evaluation, and the linking of these to the decision criteria. These include breakeven and payback analysis, compounding, discounting, calculation of returns, loan calculations, and others Structured approaches for modeling in corporate finance, including financial statement modeling, cash flow valuation, cost of capital, and ratio analysis Techniques to implement sensitivity and scenario analysis Core aspects of statistical analysis, including data preparation, manipulation, and integration The use of approximately 100 Excel functions within example modeling contexts Further Topics Sections, which introduce advanced aspects of many areas, in order to provide further benefit to more advance readers, whilst presenting the truly essential topics separately. Examples of these include introductions to PowerQuery and PowerPivot, as well as advanced waterfall structures An invaluable, all-in-one blueprint for learning financial modeling in Excel, this book is ideal for beginning and intermediate financial professionals and students seeking to build and reinforce essential topics in financial modeling.

Computational Statistical Physics (Hardcover): Lucas Boettcher, Hans J. Herrmann Computational Statistical Physics (Hardcover)
Lucas Boettcher, Hans J. Herrmann
R1,940 R1,802 Discovery Miles 18 020 Save R138 (7%) Ships in 12 - 17 working days

Providing a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications such as percolation, random walks, magnetic systems, machine learning dynamics, and spreading processes on complex networks. A detailed discussion of molecular dynamics simulations is also included, a topic of great importance in biophysics and physical chemistry. The accessible and self-contained approach adopted by the authors makes this book suitable for teaching courses at graduate level, and numerous worked examples and end of chapter problems allow students to test their progress and understanding.

Mathematical Modeling for Intelligent Systems - Theory, Methods, and Simulation (Hardcover): Mukesh Kumar Awasthi, Ravi Tomar,... Mathematical Modeling for Intelligent Systems - Theory, Methods, and Simulation (Hardcover)
Mukesh Kumar Awasthi, Ravi Tomar, Maanak Gupta
R3,042 Discovery Miles 30 420 Ships in 12 - 17 working days

* The book offers a well-balanced mathematical analysis of modelling physical systems. * Summarizes basic principles in differential geometry and convex analysis as needed. * The book covers a wide range of industrial and social applications, and bridges the gap between core theory and costly experiments through simulations and modelling. * The focus of the book is manifold ranging from stability of fluid flows, nano fluids, drug delivery, and security of image data to Pandemic modeling etc.

Analysis of a Model for Epilepsy - Application of a Max-Type Difference Equation to Mesial Temporal Lobe Epilepsy (Hardcover):... Analysis of a Model for Epilepsy - Application of a Max-Type Difference Equation to Mesial Temporal Lobe Epilepsy (Hardcover)
Candace M Kent, David M. Chan
R4,496 Discovery Miles 44 960 Ships in 12 - 17 working days

* Suitable for researchers in mathematical neuroscience and potentially as supplementary reading for postgraduate students * Thoroughly researched and replete with references.

Self-Organized 3D Tissue Patterns - Fundamentals, Design, and Experiments (Hardcover): Xiaolu Zhu, Zheng Wang Self-Organized 3D Tissue Patterns - Fundamentals, Design, and Experiments (Hardcover)
Xiaolu Zhu, Zheng Wang
R3,020 Discovery Miles 30 200 Ships in 12 - 17 working days

This book involves the topics on the frontier of the tissue engineering and regenerative medicine. It transits new ideas, new scientific results, and discusses on the design of the self-organized tissues. This book will have a broader readership, because it provides scientific information for diverse disciplinary fields (biology, material science, engineering, medicine, and life science). More scientists, professors, graduates, undergraduates and researchers would be inspired.This book will provide some 3D structure images that would impress the readers with intuitional and abundant information which includes experimental and simulative results.

Modeling Change and Uncertainty - Machine Learning and Other Techniques (Hardcover): William P. Fox, Robert E. Burks Modeling Change and Uncertainty - Machine Learning and Other Techniques (Hardcover)
William P. Fox, Robert E. Burks
R2,615 Discovery Miles 26 150 Ships in 12 - 17 working days

Mathematical modeling is a powerful craft that requires practice. The more practice the better one will become in executing the art. The authors wrote this book to develop the craft of mathematical modeling and to foster a desire for lifelong learning, habits of mind and develop competent and confident problem solvers and decision makers for the 21st century. This book offers a problem-solving approach. The authors introduce a problem to help motivate the learning of a particular mathematical modeling topic. The problem provides the issue or what is needed to solve using an appropriate modeling technique. Then principles are applied to the problem and present the steps in obtaining an appropriate model to solve the problem. Modeling Change and Uncertainty: Covers both linear and nonlinear models of discrete dynamical systems. Introduces statistics and probability modeling. Introduces critical statistical concepts to handle univariate and multivariate data. Establishes a foundation in probability modeling. Uses ordinary differential equations (ODEs) to develop a more robust solution to problems. Uses linear programming and machine learning to support decision making. Introduces the reality of uncertainty and randomness that is all around us. Discusses the use of linear programing to solve common problems in modern industry. Discusses he power and limitations of simulations. Introduces the methods and formulas used in businesses and financial organizations. Introduces valuable techniques using Excel, MAPLE, and R. Mathematical modeling offers a framework for decision makers in all fields. This framework consists of four key components: the formulation process, the solution process, interpretation of the solution in the context of the actual problem, and sensitivity analysis. Modeling Change and Uncertainty will be of interest to mathematics departments offering advanced mathematical modeling courses focused on decision making or discrete mathematical modeling and by undergraduate, graduate students and practitioners looking for an opportunity to develop, practice, and apply the craft of mathematical modeling. Table of Contents 1. Perfect Partners: Combining Models of Change and Uncertainty with Technology 2. Modeling Change: Discrete Dynamical Systems (DDS) and Modeling Systems of DDS 3. Statistical and Probabilistic Models 4. Modeling with Probability 5. Differential Equations 6. Forecasting with Linear Programming and Machine Learning 7. Stochastic Models and Markov Chains 8. Linear Programming 9. Simulation of Queueing Models 10. Modeling of Financial Analysis 11. Reliability Models 12. Machine Learning and Unconstrained Optimal Process Dr. William P. Fox is currently a visiting professor of Computational Operations Research at the College of William and Mary. He is an emeritus professor in the Department of Defense Analysis at the Naval Postgraduate School and teaches a three-course sequence in mathematical modeling for decision making. He received his Ph.D. in Industrial Engineering from Clemson University. He has taught at the United States Military Academy for twelve years until retiring and at Francis Marion University where he was the chair of mathematics for eight years. He has many publications and scholarly activities including twenty plus books and one hundred and fifty journal articles. Colonel (R) Robert E. Burks, Jr., Ph.D. is an Associate Professor in the Defense Analysis Department of the Naval Postgraduate School (NPS) and the Director of the NPS' Wargaming Center. He holds a Ph.D. in Operations Research from the Air Force Institute of Technology. He is a retired logistics Army Colonel with more than thirty years of military experience in leadership, advanced analytics, decision modeling, and logistics operations who served as an Army Operations Research analyst at the Naval Postgraduate School, TRADOC Analysis Center, United States Military Academy, and the United States Army Recruiting Command. Other book by William P. Fox and Robert E. Burks: Advanced Mathematical Modeling with Technology, 2021, CRC Press. Other books by William P. Fox from CRC Press: Mathematical Modeling in the Age of the Pandemic, 2021, CRC Press. Advanced Problem Solving Using Maple: Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis (w/William Bauldry), 2020, CRC Press. Mathematical Modeling with Excel (w/Brian Albright), 2020, CRC Press. Nonlinear Optimization: Models and Applications, 2020, CRC Press. Advanced Problem Solving with Maple: A First Course (w/William Bauldry), 2019. CRC Press. Mathematical Modeling for Business Analytics, 2018, CRC Press.

COVID Transmission Modeling - An Insight into Infectious Diseases Mechanism (Hardcover): B Narasimha Murthy, D. M. Basavarajaiah COVID Transmission Modeling - An Insight into Infectious Diseases Mechanism (Hardcover)
B Narasimha Murthy, D. M. Basavarajaiah
R4,672 Discovery Miles 46 720 Ships in 12 - 17 working days

COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of the COVID-19 pandemic crisis and covers various aspects of newer modeling techniques and practical solutions for health emergencies. This book aims to formulate various innovative and pragmatic mathematical, statistical, and epidemiological models using COVID-19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insights and knowledge of public health. Each of the book's 12 chapters provides invaluable and exploratory tools to enable explicit assumptions, highlights key health indicators, and determines the geometric progression and control measures of the disease. The present developed models will allow readers to extrapolate the exact reason for the outbreak and pave the way for scientific information on vaccine trials and socioeconomic, psychological, and disease burden worldwide. These advanced techniques of modeling and their applications are in greater need than ever for effective connection between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policymakers for making appropriate decisions at the right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions and their control measures, and their impact. Features Addresses all aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID-19, herd immunity, and various methods, including newer mathematical, statistical, and epidemiological models in the analysis of COVID-19 pandemic outbreak Covers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measures Includes models that can easily be followed in formulating the mathematical derivations and key points Supplemented with ample illustrations, images, diagrams, and figures This book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful.

Financial Market Analysis and Behaviour - The Adaptive Preference Hypothesis (Hardcover): Emil Dinga, Camelia Oprean-Stan,... Financial Market Analysis and Behaviour - The Adaptive Preference Hypothesis (Hardcover)
Emil Dinga, Camelia Oprean-Stan, Cristina-Roxana Tanasescu, Vasile Bratian, Gabriela-Mariana Ionescu
R4,074 Discovery Miles 40 740 Ships in 12 - 17 working days

This book addresses the functioning of financial markets, in particular the financial market model, and modelling. More specifically, the book provides a model of adaptive preference in the financial market, rather than the model of the adaptive financial market, which is mostly based on Popper's objective propensity for the singular, i.e., unrepeatable, event. As a result, the concept of preference, following Simon's theory of satisficing, is developed in a logical way with the goal of supplying a foundation for a robust theory of adaptive preference in financial market behavior. The book offers new insights into financial market logic, and psychology: 1) advocating for the priority of behavior over information - in opposition to traditional financial market theories; 2) constructing the processes of (co)evolution adaptive preference-financial market using the concept of fetal reaction norms - between financial market and adaptive preference; 3) presenting a new typology of information in the financial market, aimed at proving point (1) above, as well as edifying an explicative mechanism of the evolutionary nature and behavior of the (real) financial market; 4) presenting sufficient, and necessary, principles or assumptions for developing a theory of adaptive preference in the financial market; and 5) proposing a new interpretation of the pair genotype-phenotype in the financial market model. The book's distinguishing feature is its research method, which is mainly logically rather than historically or empirically based. As a result, the book is targeted at generating debate about the best and most scientifically beneficial method of approaching, analyzing, and modelling financial markets.

Architecture of Mathematics (Paperback): Simon Serovajsky Architecture of Mathematics (Paperback)
Simon Serovajsky
R1,437 Discovery Miles 14 370 Ships in 12 - 17 working days

Architecture of Mathematics describes the logical structure of Mathematics from its foundations to its real-world applications. It describes the many interweaving relationships between different areas of mathematics and its practical applications, and as such provides unique reading for professional mathematicians and nonmathematicians alike. This book can be a very important resource both for the teaching of mathematics and as a means to outline the research links between different subjects within and beyond the subject. Features All notions and properties are introduced logically and sequentially, to help the reader gradually build understanding. Focusses on illustrative examples that explain the meaning of mathematical objects and their properties. Suitable as a supplementary resource for teaching undergraduate mathematics, and as an aid to interdisciplinary research. Forming the reader's understanding of Mathematics as a unified science, the book helps to increase his general mathematical culture.

Modelling with Ordinary Differential Equations - A Comprehensive Approach (Paperback): Alfio Borzi Modelling with Ordinary Differential Equations - A Comprehensive Approach (Paperback)
Alfio Borzi
R1,451 Discovery Miles 14 510 Ships in 12 - 17 working days

Modelling with Ordinary Differential Equations: A Comprehensive Approach aims to provide a broad and self-contained introduction to the mathematical tools necessary to investigate and apply ODE models. The book starts by establishing the existence of solutions in various settings and analysing their stability properties. The next step is to illustrate modelling issues arising in the calculus of variation and optimal control theory that are of interest in many applications. This discussion is continued with an introduction to inverse problems governed by ODE models and to differential games. The book is completed with an illustration of stochastic differential equations and the development of neural networks to solve ODE systems. Many numerical methods are presented to solve the classes of problems discussed in this book. Features: Provides insight into rigorous mathematical issues concerning various topics, while discussing many different models of interest in different disciplines (biology, chemistry, economics, medicine, physics, social sciences, etc.) Suitable for undergraduate and graduate students and as an introduction for researchers in engineering and the sciences Accompanied by codes which allow the reader to apply the numerical methods discussed in this book in those cases where analytical solutions are not available

The Art and Science of Econometrics (Hardcover): Ping Zong The Art and Science of Econometrics (Hardcover)
Ping Zong
R4,079 Discovery Miles 40 790 Ships in 12 - 17 working days

Today econometrics has been widely applied in the empirical study of economics. As an empirical science, econometrics uses rigorous mathematical and statistical methods for economic problems. Understanding the methodologies of both econometrics and statistics is a crucial departure for econometrics. The primary focus of this book is to provide an understanding of statistical properties behind econometric methods. Following the introduction in Chapter 1, Chapter 2 provides the methodological review of both econometrics and statistics in different periods since the 1930s. Chapters 3 and 4 explain the underlying theoretical methodologies for estimated equations in the simple regression and multiple regression models and discuss the debates about p-values in particular. This part of the book offers the reader a richer understanding of the methods of statistics behind the methodology of econometrics. Chapters 5-9 of the book are focused on the discussion of regression models using time series data, traditional causal econometric models, and the latest statistical techniques. By concentrating on dynamic structural linear models like state-space models and the Bayesian approach, the book alludes to the fact that this methodological study is not only a science but also an art. This work serves as a handy reference book for anyone interested in econometrics, particularly in relevance to students and academic and business researchers in all quantitative analysis fields.

Introduction to Complex Variables and Applications (Paperback): Mark J. Ablowitz, Athanassios S. Fokas Introduction to Complex Variables and Applications (Paperback)
Mark J. Ablowitz, Athanassios S. Fokas
R1,392 R1,313 Discovery Miles 13 130 Save R79 (6%) Ships in 12 - 17 working days

The study of complex variables is beautiful from a purely mathematical point of view, and very useful for solving a wide array of problems arising in applications. This introduction to complex variables, suitable as a text for a one-semester course, has been written for undergraduate students in applied mathematics, science, and engineering. Based on the authors' extensive teaching experience, it covers topics of keen interest to these students, including ordinary differential equations, as well as Fourier and Laplace transform methods for solving partial differential equations arising in physical applications. Many worked examples, applications, and exercises are included. With this foundation, students can progress beyond the standard course and explore a range of additional topics, including generalized Cauchy theorem, Painleve equations, computational methods, and conformal mapping with circular arcs. Advanced topics are labeled with an asterisk and can be included in the syllabus or form the basis for challenging student projects.

Mathematical Modelling - Education, Engineering and Economics ICTMA 12 (Paperback, New): C Haines, P. Galbraith, W. Blum, S.... Mathematical Modelling - Education, Engineering and Economics ICTMA 12 (Paperback, New)
C Haines, P. Galbraith, W. Blum, S. Khan
R2,562 R2,343 Discovery Miles 23 430 Save R219 (9%) Ships in 12 - 17 working days

This book continues the ICTMA tradition of influencing teaching and learning in the application of mathematical modelling. Each chapter shows how real life problems can be discussed during university lectures, in school classrooms and industrial research. International experts contribute their knowledge and experience by providing analysis, insight and comment whilst tackling large and complex problems by applying mathematical modelling. This book covers the proceedings from the Twelfth International Conference on the Teaching of Mathematical Modelling and Applications.
Covers the proceedings from the Twelfth International Conference on the Teaching of Mathematical Modelling and ApplicationsContinues the ICTMA tradition of influencing teaching and learning in the application of mathematical modellingShows how real life problems can be discussed during university lectures, in school classrooms and industrial research

Modelling and Control in Biomedical Systems 2006 (Paperback): David Dagan Feng, Janan Zaytoon Modelling and Control in Biomedical Systems 2006 (Paperback)
David Dagan Feng, Janan Zaytoon
R2,527 R2,319 Discovery Miles 23 190 Save R208 (8%) Ships in 12 - 17 working days

Modelling and Control in Biomedical Systems (including Biological Systems) was held in Reims, France, 20-22 August 2006. This Symposium was organised by the University of Reims Champagne Ardenne and the Societe de l Electricite, de l Electronique et des TIC (SEE).
The Symposium attracted practitioners in engineering, information technology, mathematics, medicine and biology, and other related disciplines, with authors from 24 countries. Besides the abstracts of the four plenary lectures, this volume contains the 92 papers that were presented by their authors at the Symposium
The papers included two invited keynote presentations given by internationally prominent and well-recognised research leaders: Claudio Cobelli, whose talk is titled "Dynamic modelling in diabetes: from whole body to genes"; and Irving J. Bigio, whose talk is titled "Elastic scattering spectroscopy for non-invasive detection of cancer." Two prestigious industrial speakers were also invited to give keynote presentations: Terry O'Brien from LIDCO, whose talk is titled "LIDCO: From the laboratory to protocolized goal directed therapy"; and Lorenzo Quinzio of Philips, whose talk is titled "Clinical decision support in monitoring and information systems."
* A valuable source of information on the state-of- the-art in Modelling and Control in Biomedical Systems
* Including abstracts of four plenary lectures, and 92 papers presented by their authors"

The Rules Of Contagion - Why Things Spread - and Why They Stop (Paperback): Adam Kucharski The Rules Of Contagion - Why Things Spread - and Why They Stop (Paperback)
Adam Kucharski
R275 R217 Discovery Miles 2 170 Save R58 (21%) Ships in 3 - 5 working days

We live in a world that's more interconnected than ever before. Our lives are shaped by outbreaks - of disease, of misinformation, even of violence - that appear, spread and fade away with bewildering speed. To understand them, we need to learn the hidden laws that govern them. From 'superspreaders' who might spark a pandemic or bring down a financial system to the social dynamics that make loneliness catch on, The Rules of Contagion offers compelling insights into human behaviour and explains how we can get better at predicting what happens next.

Along the way, Adam Kucharski explores how innovations spread through friendship networks, what links computer viruses with folk stories - and why the most useful predictions aren't necessarily the ones that come true.

Now revised and updated with content on Covid-19.

Handbook of Fractional Calculus for Engineering and Science (Hardcover): Harendra Singh, H.M. Srivastava, Juan J. Nieto Handbook of Fractional Calculus for Engineering and Science (Hardcover)
Harendra Singh, H.M. Srivastava, Juan J. Nieto
R4,650 Discovery Miles 46 500 Ships in 12 - 17 working days

Fractional calculus is used to model many real-life situations from science and engineering. The book includes different topics associated with such equations and their relevance and significance in various scientific areas of study and research. In this book readers will find several important and useful methods and techniques for solving various types of fractional-order models in science and engineering. The book should be useful for graduate students, PhD students, researchers and educators interested in mathematical modelling, physical sciences, engineering sciences, applied mathematical sciences, applied sciences, and so on. This Handbook: Provides reliable methods for solving fractional-order models in science and engineering. Contains efficient numerical methods and algorithms for engineering-related equations. Contains comparison of various methods for accuracy and validity. Demonstrates the applicability of fractional calculus in science and engineering. Examines qualitative as well as quantitative properties of solutions of various types of science- and engineering-related equations. Readers will find this book to be useful and valuable in increasing and updating their knowledge in this field and will be it will be helpful for engineers, mathematicians, scientist and researchers working on various real-life problems.

Social Networks - Modelling and Analysis (Hardcover): Niyati Aggrawal, Adarsh Anand Social Networks - Modelling and Analysis (Hardcover)
Niyati Aggrawal, Adarsh Anand; Series edited by Mangey Ram
R4,057 Discovery Miles 40 570 Ships in 12 - 17 working days

The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making. Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed. Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.

Exploratory Data Analytics for Healthcare (Hardcover): R. Lakshmana Kumar, R. Indrakumari, B. Balamurugan, Achyut Shankar Exploratory Data Analytics for Healthcare (Hardcover)
R. Lakshmana Kumar, R. Indrakumari, B. Balamurugan, Achyut Shankar
R3,913 Discovery Miles 39 130 Ships in 12 - 17 working days

Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain.

Handbook of Choice Modelling (Hardcover): Stephane Hess, Andrew Daly Handbook of Choice Modelling (Hardcover)
Stephane Hess, Andrew Daly
R6,879 Discovery Miles 68 790 Ships in 12 - 17 working days

There have been some exciting developments in choice modeling, but much of this work is only accessible to those attending conferences like the International Choice Modeling Conference where researchers from many different fields can share their work. This Handbook brings the best of this new work to a wider audience. The editors have convinced many of the top researchers in choice modeling to contribute essays, and the resulting Handbook is the only reference I know that comes close to covering the current state of the art in choice modeling.' - David Brownstone, University of California, Irvine, US'Choice modelling has been the focus of intensive research activities during the last decades. This book proposes a fantastic consolidation of these recent developments, written by the major actors in the field, including Daniel McFadden, Nobel Laureate. The good balance between fundamental topics and applied considerations, as well as the coverage of area-specific aspects, make it an exceptional reference for researchers and practitioners interested in human choices.' - Michel Bierlaire, EPFL Lausanne, Switzerland 'Decision-making underpins daily life, from the simple to the complex. Neurophysiologists, psychologists and economists have all spent decades studying decision-making from very different perspectives. Theoretical advances in the different fields have complementary strengths, creating the need for an integrated approach. This book represents a milestone in bringing together different theoretical perspectives on decision-making, setting the foundations for exciting new multi-disciplinary approaches.' - Scott Brown, The University of Newcastle, Australia This Handbook provides an authoritative and in-depth overview of the essential topics related to the increasingly important field of choice modeling: a key tool for the understanding of behavior and used to support decision-making across many areas such as transportation, health economics, environmental analysis and marketing. The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues. The book opens with Nobel Laureate Daniel McFadden calling for deeper engagement with more behavioural and psychological fields, and this is followed by supporting chapters on behavioural economics and mathematical psychology. Further chapters explore the elicitation of data and the context of observation; inter-personal variation; the modeling of complex choice processes taking account of heterogeneity; extending the models to deal with more complex choices; statistical processes for the understanding of data; and finally the practical application of these methods. A final group of chapters discusses the research needs of specific application areas. Offering a unique collection of contributions from many of the top researchers in choice modeling, this Handbook provides essential reading for academics, students and practitioners in a wide range of areas. Contributors: M. Abou Zeid, W.L. Adamowicz, K.W. Axhausen, M. Ben-Akiva, C. Bhat, S. Blackburn, M.C.J. Bliemer, D.S. Bunch, P. Burge, J.R.Busemeyer, R.T. Carson, E. Cherchi, C.G. Chorus, M. Czajkowski, A. Daly, A. de Palma, C. Eckert, F. Feinberg, T.N. Flynn, M. Fosgerau, B. Frischknecht, K. Glenk, K.G. Goulias, W. Greene, G.W. Harrison, D. Hensher, S. Hess, I. Inoa, A. Karlstroem, E. Lancsar, P. Lenk, G. Loomes, J. Louviere, A.A.J. Marley, J. Martinez-Correa, D. McFadden, J. Meyerhoff, J. de Dios Ortuzar, R.M.Pendyala, N. Picard, A. Pinjari, T. Ribeiro, N. Rieser-Schussler, J. Rieskamp, L.I. Rizzi, J.M. Rose, J. Swait, A. Vij, J.L. Walker

The Primacy of Doubt - From climate change to quantum physics, how the science of uncertainty can help predict and understand... The Primacy of Doubt - From climate change to quantum physics, how the science of uncertainty can help predict and understand our chaotic world (Hardcover)
Tim Palmer
R495 R458 Discovery Miles 4 580 Save R37 (7%) Ships in 6 - 10 working days

A bold, visionary, and mind-bending exploration of how the geometry of chaos can explain our uncertain world - from weather and pandemics to quantum physics and free will Covering a breathtaking range of topics - from climate change to the foundations of quantum physics, from economic modelling to conflict prediction, from free will to consciousness and spirituality - The Primacy of Doubt takes us on a unique journey through the science of uncertainty. A key theme that unifies these seemingly unconnected topics is the geometry of chaos: the beautiful and profound fractal structures that lie at the heart of much of modern mathematics. Royal Society Research Professor Tim Palmer shows us how the geometry of chaos not only provides the means to predict the world around us, it suggests new insights into some of the most astonishing aspects of our universe and ourselves. This important and timely book helps the reader makes sense of uncertainty in a rapidly changing world.

Modelling Transitions - Virtues, Vices, Visions of the Future (Paperback): Enayat A. Moallemi, Fjalar J de Haan Modelling Transitions - Virtues, Vices, Visions of the Future (Paperback)
Enayat A. Moallemi, Fjalar J de Haan
R1,243 Discovery Miles 12 430 Ships in 12 - 17 working days

Modelling Transitions shows what computational, formal and data-driven approaches can and could mean for sustainability transitions research, presenting the state-of-the-art and exploring what lies beyond. Featuring contributions from many well-known authors, this book presents the various benefits of modelling for transitions research. More than just taking stock, it also critically examines what modelling of transformative change means and could mean for transitions research and for other disciplines that study societal changes. This includes identifying a variety of approaches currently not part of the portfolios of transitions modellers. Far from only singing praise, critical methodological and philosophical introspection are key aspects of this important book. This book speaks to modellers and non-modellers alike who value the development of robust knowledge on transitions to sustainability, including colleagues in congenial fields. Be they students, researchers or practitioners, everyone interested in transitions should find this book relevant as reference, resource and guide.

New Centrality Measures in Networks - How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to... New Centrality Measures in Networks - How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to Nodes (Hardcover)
Fuad Aleskerov, Sergey Shvydun, Natalia Meshcheryakova
R1,517 Discovery Miles 15 170 Ships in 12 - 17 working days

Features Built around real-world case studies in a variety of different areas (finance, migration, trade, etc.) Suitable for students and professional researchers with an interest in complex network analysis Paired with a software package for readers who wish to apply the proposed models of centrality (in Python) available at https://github.com/SergSHV/slric.

Observability and Mathematics - Fluid Mechanics, Solutions of Navier-Stokes Equations, and Modeling (Hardcover): Boris Khots Observability and Mathematics - Fluid Mechanics, Solutions of Navier-Stokes Equations, and Modeling (Hardcover)
Boris Khots
R3,016 Discovery Miles 30 160 Ships in 12 - 17 working days

The author approaches an old classic problem - the existence of solutions of Navier-Stokes equations. The main objective is to model and derive of equation of continuity, Euler equation of fluid motion, energy flux equation, Navier-Stokes equations from the observer point of view and solve classic problem for this interpretation of fluid motion laws. If we have a piece of metal or a volume of liquid, the idea impresses itself upon us that it is divisible without limit, that any part of it, however small, would again have the same properties. But, wherever the methods of research in the physics of matter were refined sufficiently, limits to divisibility were reached that are not due to the inadequacy of our experiments but to the nature of the subject matter. Observability in mathematics were developed by the author based on denial of infinity idea. He introduces observers into arithmetic, and arithmetic becomes dependent on observers. And after that the basic mathematical parts also become dependent on observers. This approach permits to reconsider the fluid motion laws, analyze them and get solutions of classic problems. Table of Contents 1. Introduction. 2. Observability and Arithmetic. 3. Observability and Vector Algebra. 4. Observability and Mathematical Analysis (Calculus). 5. Classic Fluid Mechanics equations and Observability. 6. Observability and Thermodynamical equations. 7. Observability and equation of continuity. 8. Observability and Euler equation of motion of the fluid. 9. Observability and energy flux and moment flux equations. 10. Observability and incompressible fluids. 11. Observability and Navier-Stokes equations. 12. Observability and Relativistic Fluid Mechanics. 13. Appendix: Review of publications of the Mathematics with Observers. 14. Glossary. Bibliography Index Biography Boris Khots, DrSci, lives in Iowa, USA, Independent Researcher. Alma Mater - Moscow State Lomonosov University, Department of Mathematics and Mechanics (mech-math). Creator of Observer's Mathematics. Participant of more than 30 Mathematical international congresses, conferences. In particular, participated with presentation at International Congresses of Mathematicians on 1998 (Germany), 2002 (China), 2006 (Spain), 2010 (India), 2014 (South Korea). More than 150 mathematical books and papers.

Secrets of the Moon - Understanding and Analysing the Lunar Surface (Hardcover): Gilbert Fielder Secrets of the Moon - Understanding and Analysing the Lunar Surface (Hardcover)
Gilbert Fielder
R4,647 Discovery Miles 46 470 Ships in 12 - 17 working days

Authored by an expert in the area Presents a comprehensive account of the lunar surface, from historical observations to the NASA Apollo manned missions, and the latest observations and data in the field Includes a statistical and geological treatment of the craters

Pulling Rabbits Out of Hats - Using Mathematical Modeling in the Material, Biophysical, Fluid Mechanical, and Chemical Sciences... Pulling Rabbits Out of Hats - Using Mathematical Modeling in the Material, Biophysical, Fluid Mechanical, and Chemical Sciences (Hardcover)
David Wollkind, Bonni J. Dichone
R5,423 Discovery Miles 54 230 Ships in 12 - 17 working days

Includes examples on such cases as solidification of alloys, chemically-driven convection of dissociating gases, temperature-dependent predator-prey mite systems, multi-layer and two-phase fluid phenomena, viral-target cell interactions, diffusive and gravitational instabilities, and chemical, material science, optical, and ecological Turing patterns. Aims to make the process of quantification of scientific phenomena transparent. Is a hybrid semi-autobiographical account of research results and a monograph on pattern formation.

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