0
Your cart

Your cart is empty

Browse All Departments
Price
  • R100 - R250 (11)
  • R250 - R500 (29)
  • R500+ (1,408)
  • -
Status
Format
Author / Contributor
Publisher

Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software

Introduction to Scientific Programming and Simulation Using R (Hardcover, 2nd edition): Owen Jones, Robert Maillardet, Andrew... Introduction to Scientific Programming and Simulation Using R (Hardcover, 2nd edition)
Owen Jones, Robert Maillardet, Andrew Robinson
R2,502 Discovery Miles 25 020 Ships in 9 - 15 working days

Learn How to Program Stochastic Models Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data. The book's four parts teach: Core knowledge of R and programming concepts How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation Essentials of probability, random variables, and expectation required to understand simulation Stochastic modelling and simulation, including random number generation and Monte Carlo integration In a new chapter on systems of ordinary differential equations (ODEs), the authors cover the Euler, midpoint, and fourth-order Runge-Kutta (RK4) schemes for solving systems of first-order ODEs. They compare the numerical efficiency of the different schemes experimentally and show how to improve the RK4 scheme by using an adaptive step size. Another new chapter focuses on both discrete- and continuous-time Markov chains. It describes transition and rate matrices, classification of states, limiting behaviour, Kolmogorov forward and backward equations, finite absorbing chains, and expected hitting times. It also presents methods for simulating discrete- and continuous-time chains as well as techniques for defining the state space, including lumping states and supplementary variables. Building readers' statistical intuition, Introduction to Scientific Programming and Simulation Using R, Second Edition shows how to turn algorithms into code. It is designed for those who want to make tools, not just use them. The code and data are available for download from CRAN.

Statistical Field Theory for Neural Networks (Paperback, 1st ed. 2020): Moritz Helias, David Dahmen Statistical Field Theory for Neural Networks (Paperback, 1st ed. 2020)
Moritz Helias, David Dahmen
R1,782 Discovery Miles 17 820 Ships in 9 - 15 working days

This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra.

Advances in GLIM and Statistical Modelling - Proceedings of the GLIM92 Conference and the 7th International Workshop on... Advances in GLIM and Statistical Modelling - Proceedings of the GLIM92 Conference and the 7th International Workshop on Statistical Modelling, Munich, 13-17 July 1992 (Paperback, Softcover reprint of the original 1st ed. 1992)
Ludwig Fahrmeir, Brian Francis, Robert Gilchrist, Gerhard Tutz
R2,911 Discovery Miles 29 110 Ships in 10 - 15 working days

This volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992. The meeting aimed to bring together researchers interested in the development and applications of generalized linear modelling in GUM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops and GUM conferences. Previous GUM conferences were held in London and Lancaster, and a joint GUM Conference/4th Modelling Workshop was held in Trento. (The Proceedings of previous GUM conferences/Statistical Modelling Workshops are available as numbers 14 , 32 and 57 of the Springer Verlag series of Lecture Notes in Statistics). Workshops have been organized in Innsbruck, Perugia, Vienna, Toulouse and Utrecht. (Proceedings of the Toulouse Workshop appear as numbers 3 and 4 of volume 13 of the journal Computational Statistics and Data Analysis). Much statistical modelling is carried out using GUM, as is apparent from many of the papers in these Proceedings. Thus the Programme Committee were also keen on encouraging papers which addressed problems which are not only of practical importance but which are also relevant to GUM or other software development. The Programme Committee requested both theoretical and applied papers. Thus there are papers in a wide range of practical areas, such as ecology, breast cancer remission and diabetes mortality, banking and insurance, quality control, social mobility, organizational behaviour.

R Markdown - The Definitive Guide (Paperback): Yihui Xie, Garrett Grolemund, J.J. Allaire R Markdown - The Definitive Guide (Paperback)
Yihui Xie, Garrett Grolemund, J.J. Allaire
R1,060 Discovery Miles 10 600 Ships in 9 - 15 working days

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

R Graphics, Third Edition (Hardcover, 3rd edition): Paul Murrell R Graphics, Third Edition (Hardcover, 3rd edition)
Paul Murrell
R2,683 Discovery Miles 26 830 Ships in 12 - 17 working days

This third edition of Paul Murrell's classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes three new chapters: importing external images in to R; integrating the graphics and grid systems; and advanced SVG graphics. The emphasis in this third edition is on having the ability to produce detailed and customised graphics in a wide variety of formats, on being able to share and reuse those graphics, and on being able to integrate graphics from multiple systems. This book is aimed at all levels of R users. For people who are new to R, this book provides an overview of the graphics facilities, which is useful for understanding what to expect from R's graphics functions and how to modify or add to the output they produce. For intermediate-level R users, this book provides all of the information necessary to perform sophisticated customizations of plots produced in R. For advanced R users, this book contains vital information for producing coherent, reusable, and extensible graphics functions.

Reduce - Software for Algebraic Computation (Paperback, Softcover reprint of the original 1st ed. 1987): Anthony C Hearn Reduce - Software for Algebraic Computation (Paperback, Softcover reprint of the original 1st ed. 1987)
Anthony C Hearn; Gerhard Rayna
R2,940 Discovery Miles 29 400 Ships in 10 - 15 working days

CONTRIBUTED BY DR. ANTHONY C. HEARN THE RAND CORPORATION, SANTA MONICA, CALIFORNIA REDUCE is a computer program for algebraic computation that IS III world-wide use by thousands of scientists, engineers, and mathematicians. Although it traces its beginnings to 1963, until recently it has only been available on main-frame computers because of its relatively large resource requirements. In 1980 I predicted (1) that by the mid-1980's it would be possible to obtain personal computers in the $10,000 $20,000 range capable of running REDUCE. I am therefore delighted to see that machines of the power of the IBM PC can now run this system, even though these computers are more modestly priced than my 1980 vision of the personal algebra machine. In addition to the need for the more widespread access that personal computers can now provide, there has been a longstanding need for a textbook to help the beginning user become better acquainted with the system. I am therefore very glad that Dr. Rayna has undertaken to write such a book, just as the era of the REDUCE personal algebra machine is beginning. In order to understand the nature of REDUCE, a little history is in order. In 1963 I met Dr. John McCarthy, the inventor of LISP.

Mathematik Fur Wirtschaftswissenschaftler Und Ingenieure Mit Mathematica (German, Hardcover, Reprint 2015 ed.): Werner Sanns,... Mathematik Fur Wirtschaftswissenschaftler Und Ingenieure Mit Mathematica (German, Hardcover, Reprint 2015 ed.)
Werner Sanns, Marco Schuchmann
R2,975 R2,322 Discovery Miles 23 220 Save R653 (22%) Ships in 10 - 15 working days

Einfuhrung in die Grundlagen der "praktischen" Mathematik fur Studierende der Wirtschafts- und Ingenieurwissenschaften."

A Guide to SPSS/PC+ (Paperback, 1st ed. 1987): Neil Frude A Guide to SPSS/PC+ (Paperback, 1st ed. 1987)
Neil Frude
R909 Discovery Miles 9 090 Ships in 10 - 15 working days

Written for those with little or no experience in using computers for statistical analysis, this book introduces SPSS/PC+, the market leader PC package. A Guide to SPSS/PC+ teaches the use of SPSS/PC+ clearly and simply.

R Markdown - The Definitive Guide (Hardcover): Yihui Xie, Garrett Grolemund, J.J. Allaire R Markdown - The Definitive Guide (Hardcover)
Yihui Xie, Garrett Grolemund, J.J. Allaire
R2,474 Discovery Miles 24 740 Ships in 12 - 17 working days

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

Elements of Statistical Computing - NUMERICAL COMPUTATION (Hardcover): R.A. Thisted Elements of Statistical Computing - NUMERICAL COMPUTATION (Hardcover)
R.A. Thisted
R5,285 Discovery Miles 52 850 Ships in 12 - 17 working days

Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing.
The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.

Econometrics in Theory and Practice - Analysis of Cross Section, Time Series and Panel Data with Stata 15.1 (Hardcover, 1st ed.... Econometrics in Theory and Practice - Analysis of Cross Section, Time Series and Panel Data with Stata 15.1 (Hardcover, 1st ed. 2019)
Panchanan Das
R5,184 Discovery Miles 51 840 Ships in 12 - 17 working days

This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.

Graphics for Statistics and Data Analysis with R - Graphics for Statistics and Data Analysis with R (Hardcover, 2nd edition):... Graphics for Statistics and Data Analysis with R - Graphics for Statistics and Data Analysis with R (Hardcover, 2nd edition)
Kevin J. Keen
R2,517 Discovery Miles 25 170 Ships in 12 - 17 working days

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers' understanding of the graphical techniques discussed in the book. ... It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display." -Han Lin Shang, Journal of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data visualization and representation. Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print. Features Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation; diagnostic plots for the simple linear regression model; polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve; Trellis graphics for multivariate data Provides downloadable R code and data for figures at www.graphicsforstatistics.com Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association.

Stability of Time-Variant Discrete-Time Systems (Paperback, 1985 ed.): Gunter Ludyk Stability of Time-Variant Discrete-Time Systems (Paperback, 1985 ed.)
Gunter Ludyk
R1,625 Discovery Miles 16 250 Ships in 10 - 15 working days

In this monograph some stability properties of linear, time-variant, discrete-time systems are summarized, where some properties are well known, some are little-known facts, and a few may be new. Models for this treatise an the asymp- totical behaviour of solutions of difference equations are the commonly known excellent books of CESARI [3] and CONTI [5]. In the tables of Chapter 1 the definitions and the essen- tial statements an stability of discrete-time systems are summarized, such that Chapter 2 to 5 may be regarded as explaining appendices for these tables. I am grateful to Paul Ludyk, who typed and corrected the manuscript with great skill and patience, and Alois Ludyk, who drew the figures with great artistic skill. Gunter Ludyk Bremen, January 1985 Contents Notations 1 1. Introduction and Summary 4 2. Mathematical Description of Discrete-Time Systems 16 2. 1 State Equations 16 2. 2 Properties of the Transition Matrix 19 2. 3 LAGRANGE-Identity and GREEN's Formula for Difference Equations 20 2. 4 Estimations for the Norm of the Transition Matrix 21 3. Stability of Free Discrete-Time Systems 34 3. 1 LJAPUNOW- and LAGRANGE-Stability 34 3. 2 Short Time Boundedness 40 3. 3 UniformStability 45 3. 4 Asymptotic Stability 63 3. 5 P-stability 70 3. 6 Exponential and Uniform Asymptotic Stability 75 3. 7 Relations between the Stability Glasses 84 4. Stability of Forced Discrete-Time Systems 86 4. 1 Preliminary Results 86 4. 2 Input-State Stability 93 4.

Statistical Mechanics: Theory and Molecular Simulation (Hardcover): Mark Tuckerman Statistical Mechanics: Theory and Molecular Simulation (Hardcover)
Mark Tuckerman
R2,447 Discovery Miles 24 470 Ships in 12 - 17 working days

Complex systems that bridge the traditional disciplines of physics, chemistry, biology, and materials science can be studied at an unprecedented level of detail using increasingly sophisticated theoretical methodology and high-speed computers. The aim of this book is to prepare burgeoning users and developers to become active participants in this exciting and rapidly advancing research area by uniting for the first time, in one monograph, the basic concepts of equilibrium and time-dependent statistical mechanics with the modern techniques used to solve the complex problems that arise in real-world applications. The book contains a detailed review of classical and quantum mechanics, in-depth discussions of the most commonly used ensembles simultaneously with modern computational techniques such as molecular dynamics and Monte Carlo, and important topics including free-energy calculations, linear-response theory, harmonic baths and the generalized Langevin equation, critical phenomena, and advanced conformational sampling methods. Burgeoning users and developers are thus provided firm grounding to become active participants in this exciting and rapidly advancing research area, while experienced practitioners will find the book to be a useful reference tool for the field.

Statistics with JMP - Hypothesis Tests, ANOVA and Regression (Hardcover): P. Goos Statistics with JMP - Hypothesis Tests, ANOVA and Regression (Hardcover)
P. Goos
R1,829 Discovery Miles 18 290 Ships in 12 - 17 working days

Statistics with JMP: Hypothesis Tests, ANOVA and Regression Peter Goos, University of Leuven and University of Antwerp, Belgium David Meintrup, University of Applied Sciences Ingolstadt, Germany A first course on basic statistical methodology using JMP This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software. Key features: * Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested. * Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values). * Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic. * Promotes the use of graphs and confidence intervals in addition to p-values. * Course materials and tutorials for teaching are available on the book's companion website. Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering.

COMPSTAT 1982 5th Symposium held at Toulouse 1982 - Part I: Proceedings in Computational Statistics (Paperback, Softcover... COMPSTAT 1982 5th Symposium held at Toulouse 1982 - Part I: Proceedings in Computational Statistics (Paperback, Softcover reprint of the original 1st ed. 1982)
H. Caussinus, Pettinger, R Tomassone
R2,998 Discovery Miles 29 980 Ships in 10 - 15 working days

Pour Ie cinquieme congres de la serie, COMPSTAT 82 reunit environ 500 participants d'origines scientifiques et geographiques tres variees, prouvant a l'evidence l'interet persis tant de la communaute scientifique pour tous les problemes de calculs statistiques. Le Comite de Programme charge de l'organisation scientifique du Congres etait com pose de: o S. Apelt (Republique democratique d'Allemagne) - A. Bj6rck (Suede) - H. Caussinus (France), President - Y. Escoufier (France) - A. de Falguerolles (France), Secretaire - J. W. Frane (U. S. A. ) - J. Gordesch (Republique Federale d'Allemagne) - Th. Havranek (Tchechoslovaquie) - N. Lauro (Italie) - C. Millier (France) - R. J. Mokken (pays-Bas)- R. Tomassone (France) - D. Wishart (Royaume Uni) Ce Comite a decide d'augmenter Ie nombre des conferenciers invites, cherchant de la sorte une representation des diverses ecoles ainsi que l'introduction de nouveaux themes. La tache la plus difficile a ensuite ete de selectionner une soixantaine de contributions parmi 250 soumissions. La encore Ie Comite de Programme s'est efforce de favoriser des voies qui semblaient les plus nouvelles et a essaye de maintenir une bonne repartition scientifique et geographique. Cependant, comme dans les precedents congres COMPSTAT, il a donne la preference aux propositions clairement marquees simultanement du double aspect Statistique et Calcul. Dans bien des cas, ces deux aspects sont tres lies rendant en particulier difficile et peu pertinente toute classification fine des contributions."

Interaction Effects in Linear and Generalized Linear Models - Examples and Applications Using Stata (Hardcover): Robert L.... Interaction Effects in Linear and Generalized Linear Models - Examples and Applications Using Stata (Hardcover)
Robert L. Kaufman
R3,367 Discovery Miles 33 670 Ships in 12 - 17 working days

"This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results." -Nicole Kalaf-Hughes, Bowling Green State University Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata, and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The author's website provides a downloadable toolkit of Stata (R) routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the Stata (R) dataset files to run the examples in the book.

A Step-by-Step Guide to SPSS for Sport and Exercise Studies (Hardcover): Nikos Ntoumanis A Step-by-Step Guide to SPSS for Sport and Exercise Studies (Hardcover)
Nikos Ntoumanis
R3,936 Discovery Miles 39 360 Ships in 12 - 17 working days

SPSS is the international standard software package for data analysis in the social sciences. This book is the only SPSS guide designed specifically for students in the fields of sport, exercise and kinesiology. It Includes sport specific cases and data throughout.

Bootstrapping - An Integrated Approach with Python and Stata (Paperback): Felix Bittmann Bootstrapping - An Integrated Approach with Python and Stata (Paperback)
Felix Bittmann
R788 R663 Discovery Miles 6 630 Save R125 (16%) Ships in 10 - 15 working days

Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.

Statistics in Action - A Canadian Outlook (Paperback): Jerald F. Lawless Statistics in Action - A Canadian Outlook (Paperback)
Jerald F. Lawless
R1,968 Discovery Miles 19 680 Ships in 12 - 17 working days

Commissioned by the Statistical Society of Canada (SSC), Statistics in Action: A Canadian Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science, technology, business, government, and other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis, including the issues involved with the huge amounts of data being generated by automated processes. The first two chapters review the development of statistics as a discipline in Canada and describe some major contributions to survey methodology made by Statistics Canada, one of the world's premier official statistics agencies. The book next discusses how statistical methodologies, such as functional data analysis and the Metropolis algorithm, are applied in a wide variety of fields, including risk management and genetics. It then focuses on the application of statistical methods in medicine and public health as well as finance and e-commerce. The remainder of the book addresses how statistics is used to study critical scientific areas, including difficult-to-access populations, endangered species, climate change, and agricultural forecasts. About the SSCFounded in Montreal in 1972, the SSC is the main professional organization for statisticians and related professionals in Canada. Its mission is to promote the use and development of statistics and probability. The SSC publishes the bilingual quarterly newsletter SSC Liaison and the peer-reviewed scientific journal The Canadian Journal of Statistics. More information can be found at www.ssc.ca.

Complex Analysis with MATHEMATICA (R) (Hardcover): William T. Shaw Complex Analysis with MATHEMATICA (R) (Hardcover)
William T. Shaw
R2,516 Discovery Miles 25 160 Ships in 12 - 17 working days

Complex Analysis with Mathematica offers a new way of learning and teaching a subject that lies at the heart of many areas of pure and applied mathematics, physics, engineering and even art. This book offers teachers and students an opportunity to learn about complex numbers in a state-of-the-art computational environment. The innovative approach also offers insights into many areas too often neglected in a student treatment, including complex chaos and mathematical art. Thus readers can also use the book for self-study and for enrichment. The use of Mathematica enables the author to cover several topics that are often absent from a traditional treatment. Students are also led, optionally, into cubic or quartic equations, investigations of symmetric chaos and advanced conformal mapping. A CD is included which contains a live version of the book: in particular all the Mathematica code enables the user to run computer experiments.

A MatLab (R) Companion to Complex Variables (Paperback): A. David Wunsch A MatLab (R) Companion to Complex Variables (Paperback)
A. David Wunsch
R2,132 Discovery Miles 21 320 Ships in 12 - 17 working days

This book is intended for someone learning functions of a complex variable and who enjoys using MATLAB. It will enhance the exprience of learning complex variable theory and will strengthen the knowledge of someone already trained in ths branch of advanced calculus. ABET, the accrediting board for engineering programs, makes it clear that engineering graduates must be skilled in the art of programming in a language such as MATLAB (R). Supplying students with a bridge between the functions of complex variable theory and MATLAB, this supplemental text enables instructors to easily add a MATLAB component to their complex variables courses. A MATLAB (R) Companion to Complex Variables provides readers with a clear understanding of the utility of MATLAB in complex variable calculus. An ideal adjunct to standard texts on the functions of complex variables, the book allows professors to quickly find and assign MATLAB programming problems that will strengthen students' knowledge of the language and concepts of complex variable theory. The book shows students how MATLAB can be a powerful learning aid in such staples of complex variable theory as conformal mapping, infinite series, contour integration, and Laplace and Fourier transforms. In addition to MATLAB programming problems, the text includes many examples in each chapter along with MATLAB code. Fractals, the most recent interesting topic involving complex variables, demands to be treated with a language such as MATLAB. This book concludes with a Coda, which is devoted entirely to this visually intriguing subject. MATLAB is not without constraints, limitations, irritations, and quirks, and there are subtleties involved in performing the calculus of complex variable theory with this language. Without knowledge of these subtleties, engineers or scientists attempting to use MATLAB for solutions of practical problems in complex variable theory suffer the risk of making major mistakes. This book serves as an early warning system about these pitfalls.

Understanding Military Doctrine - A Multidisciplinary Approach (Hardcover, New): Harald Hoiback Understanding Military Doctrine - A Multidisciplinary Approach (Hardcover, New)
Harald Hoiback
R4,377 Discovery Miles 43 770 Ships in 12 - 17 working days

This book puts military doctrine into a wider perspective, drawing on military history, philosophy, and political science. Military doctrines are institutional beliefs about what works in war; given the trauma of 9/11 and the ensuing 'War on Terror', serious divergences over what the message of the 'new' military doctrine ought to be were expected around the world. However, such questions are often drowned in ferocious meta-doctrinal disagreements. What is a doctrine, after all? This book provides a theoretical understanding of such questions. Divided into three parts, the author investigates the historical roots of military doctrine and explores its growth and expansion until the present day, and goes on to analyse the main characteristics of a military doctrine. Using a multidisciplinary approach, the book concludes that doctrine can be utilized in three key ways: as a tool of command, as a tool of change, and as a tool of education. This book will be of much interest to students of military studies, civil-military relations, strategic studies, and war studies, as well as to students in professional military education.

Introductory Adaptive Trial Designs - A Practical Guide with R (Paperback): Mark Chang Introductory Adaptive Trial Designs - A Practical Guide with R (Paperback)
Mark Chang
R1,947 Discovery Miles 19 470 Ships in 12 - 17 working days

All the Essentials to Start Using Adaptive Designs in No Time Compared to traditional clinical trial designs, adaptive designs often lead to increased success rates in drug development at reduced costs and time. Introductory Adaptive Trial Designs: A Practical Guide with R motivates newcomers to quickly and easily grasp the essence of adaptive designs as well as the foundations of adaptive design methods. The book reduces the mathematics to a minimum and makes the material as practical as possible. Instead of providing general, black-box commercial software packages, the author includes open-source R functions that enable readers to better understand the algorithms and customize the designs to meet their needs. Readers can run the simulations for all the examples and change the input parameters to see how each input parameter affects the simulation outcomes or design operating characteristics. Taking a learning-by-doing approach, this tutorial-style book guides readers on planning and executing various types of adaptive designs. It helps them develop the skills to begin using the designs immediately.

Elementary Statistics - From Discovery to Decision Minitab Manual (Paperback): M.K. Pelosi Elementary Statistics - From Discovery to Decision Minitab Manual (Paperback)
M.K. Pelosi
R1,972 R303 Discovery Miles 3 030 Save R1,669 (85%) Out of stock

  • A clear, conversational tone and informal flavor allows students to see the logical sense of the techniques they are encountering. Students understand how and why each technique works and when to use it.
  • The cases in the text are based on real-life situations, and the applications are of high interest to students. Pelosi & Sandifer use real data from their own experiences in the examples and exercises.
  • Drawing on years of teaching experience, the authors create a discovery based model that encourages students to take an active approach to gain a basic understanding of each concept. Then, students are asked to test their knowledge and make decisions based on what they've learned.
  • Each chapter includes robust pedagogy:
    • An Opening Story that motivates the material and focuses the student.
    • Try It Now! Exercises immediately reinforce concepts and allows students to check their understanding of key points in the text.
    • Examples and Exercises demonstrate step-by-step techniques in action.
    • Discovery Exercises highlight the learp from discovery to decision. They can be used as case studies or group work.
    • Chapter-ending Exercises for testing and review. The exercises blend computational and activity-based problems, and make use of real-world data sets provided on an accompanying CD.
    • Get It In Writing features at the end of each chapter highlight the importance of communicating results.
    • A capstone Chapter 16, Making Your Case, gives students the chance to put all they've learned into a complete whole with cases requiring the use of a variety of tools introduced in the text.
Free Delivery
Pinterest Twitter Facebook Google+
You may like...
SAS Certified Specialist Prep Guide…
Sas Institute Hardcover R3,376 Discovery Miles 33 760
Mathematical Modeling for Smart…
Debabrata Samanta, Debabrata Singh Hardcover R12,704 Discovery Miles 127 040
Essential Java for Scientists and…
Brian Hahn, Katherine Malan Paperback R1,296 Discovery Miles 12 960
Jump into JMP Scripting, Second Edition…
Wendy Murphrey, Rosemary Lucas Hardcover R1,649 Discovery Miles 16 490
An Introduction to Creating Standardized…
Todd Case, Yuting Tian Hardcover R1,643 Discovery Miles 16 430
The Global English Style Guide - Writing…
John R Kohl Hardcover R2,096 Discovery Miles 20 960
Simulating Data with SAS (Hardcover…
Rick Wicklin Hardcover R1,745 Discovery Miles 17 450
SAS Text Analytics for Business…
Teresa Jade, Biljana Belamaric-Wilsey, … Hardcover R2,704 Discovery Miles 27 040
Spatial Regression Analysis Using…
Daniel A. Griffith, Yongwan Chun, … Paperback R3,120 Discovery Miles 31 200
Multivariate Statistical Methods - Going…
Gyoergy Terdik Hardcover R3,148 Discovery Miles 31 480

 

Partners