Economists can use computer algebra systems to manipulate symbolic models, derive numerical computations, and analyze empirical relationships among variables. Maxima is an open-source multi-platform computer algebra system that rivals proprietary software. Maxima's symbolic and computational capabilities enable economists and financial analysts to develop a deeper understanding of models by allowing them to explore the implications of differences in parameter values, providing numerical solutions to problems that would be otherwise intractable, and by providing graphical representations that can guide analysis. This book provides a step-by-step tutorial for using this program to examine the economic relationships that form the core of microeconomics in a way that complements traditional modeling techniques. Readers learn how to phrase the relevant analysis and how symbolic expressions, numerical computations, and graphical representations can be used to learn from microeconomic models. In particular, comparative statics analysis is facilitated. Little has been published on Maxima and its applications in economics and finance, and this volume will appeal to advanced undergraduates, graduate-level students studying microeconomics, academic researchers in economics and finance, economists, and financial analysts.

This book presents algorithmic tools for algebraic geometry and experimental applications of them. It also introduces a software system in which the tools have been implemented and with which the experiments can be carried out. Macaulay 2 is a computer algebra system devoted to supporting research in algebraic geometry, commutative algebra, and their applications. The reader of this book will encounter Macaulay 2 in the context of concrete applications and practical computations in algebraic geometry. The expositions of the algorithmic tools presented here are designed to serve as a useful guide for those wishing to bring such tools to bear on their own problems. These expositions will be valuable to both the users of other programs similar to Macaulay 2 (for example, Singular and CoCoA) and those who are not interested in explicit machine computations at all. The first part of the book is primarily concerned with introducing Macaulay2, whereas the second part emphasizes the mathematics.

SAS Programming: The One-Day Course provides a concise introduction to the SAS programming language that gives readers not only a quick start in SAS programming, but also in the basic data manipulations and statistical summaries that are available through SAS. Unlike other introductory texts on the market, this is a pocket-sized reference that does not clutter the presentation of programming techniques by trying to teach statistical methods at the same time. Strong on explanations of how to carry out data manipulations that real-life data often call for, it also contains a short "workbook" appendix, complete with solutions. Datasets and the programming code are available to download from the Web.

Sage Accounts is a straightforward accounting package, enabling small businesses to control their finances in a quick and easy manner. It assists in the smooth running of the business by enabling you to compile graphs and tables to keep track of where the money is coming from and where it is going to. The package includes summary information allowing you to view details at a glance, and provides an efficient time saving way of controlling your stock and financial records. This new edition has been fully revised and updated to ensure all information is accurate and up to date.

'The Project Manager's Toolkit' provides a quick reference checklist approach to drive an IT development project as well as solve issues that arise in the process. It can be used proactively to set a project on the right course and reactively for solutions to problems. It will: * help identify what needs doing next on an IT project * provide quick reference 'to-do' lists for use throughout the lifecycle of an IT project * answer the need for material that can be used to quality-check project deliverables It has been designed so that those on the project team who are facing a problem can pick up the book, turn to a relevant checklist and use it as a "starter-for-ten" to find a solution. For example, how to analyse data for a data-conversion exercise, or how to measure the quality of a project deliverable. 'The Project Manager's Toolkit' therefore provides a fast way to reduce an insolvable problem/issue to a set of smaller solvable ones

A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS is an ideal resource for environmental scientists, engineers, regulators, and students, even those with only a limited knowledge of statistics. It provides insight into what to think about before you collect environmental data, how to collect it, and how to make sense of it after you have it. This book addresses the vast array of methods used today by scientists, researchers, and regulators.

Through its convenient showcase of information and numerous data sets posted on the Web, Environmental Statistics with S-PLUS shows you how to implement these methods using the statistical software package S-PLUS and the add-in modules EnvironmentalStats for S-PLUS, S+SpatialStats, and S-PLUS for ArcView. This survey of statistical methods, definitions, and concepts helps you collect and effectively analyze data for environmental pollution problems.

Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can be considered the epitome of unsupervised learning algorithms for the optimization of engineering and artificial intelligence problems, including simulated annealing (SA), tabu search (TS), genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), differential evolution (DE), and others. Distinct from most supervised learning algorithms that need labeled data to learn and construct determination models, metaheuristic algorithms inherit characteristics of unsupervised learning algorithms used for solving complex engineering optimization problems without labeled data, just like self-learning, to find solutions to complex problems.

This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work for statistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer science.

A Simple Guide to SPSS for Political Science, International Edition is a supplemental text that can be used with another statistics or research methods text. Designed for Political Science majors, A Simple Guide to SPSS for Political Science, International Edition helps students navigate through SPSS while taking a statistics or research methods course. The text includes additional coverage of categorical dependent variables, sample problems, and data sets specifically for Political Science. The American National Election Studies (ANES) database is used for sample problems, providing students with well-known and widely used resources in Political Science.

Living with Robots: Emerging Issues on the Psychological and Social Implications of Robotics focuses on the issues that come to bear when humans interact and collaborate with robots. The book dives deeply into critical factors that impact how individuals interact with robots at home, work and play. It includes topics ranging from robot anthropomorphic design, degree of autonomy, trust, individual differences and machine learning. While other books focus on engineering capabilities or the highly conceptual, philosophical issues of human-robot interaction, this resource tackles the human elements at play in these interactions, which are essential if humans and robots are to coexist and collaborate effectively. Authored by key psychology robotics researchers, the book limits its focus to specifically those robots who are intended to interact with people, including technology such as drones, self-driving cars, and humanoid robots. Forward-looking, the book examines robots not as the novelty they used to be, but rather the practical idea of robots participating in our everyday lives.

Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program.

Nonlinear physics continues to be an area of dynamic modern research, with applications to physics, engineering, chemistry, mathematics, computer science, biology, medicine and economics. In this text extensive use is made of the Mathematica computer algebra system. No prior knowledge of Mathematica or programming is assumed. The authors have included a CD-ROM that contains over 130 annotated Mathematica files. These files may be used to solve and explore the text's 400 problems. This book includes 33 experimental activities that are designed to deepen and broaden the reader's understanding of nonlinear physics. These activities are correlated with Part I, the theoretical framework of the text. Additional features: * User-friendly, accessible presentation integrating theory, experiments, and the provided Mathematica notebooks; as the concepts of nonlinear science are developed, readers are gently introduced to Mathematica as an auxiliary tool * CD-ROM includes a wide variety of illustrative nonlinear examples solved with Mathematica--command structures introduced on a need-to-know basis * Notebooks designed to make use of Mathematica's sound capability * Mathematica notebook using the EulerEquation command incorporated into the text This work is an excellent text for undergraduate and graduate students as well as a useful resource for working scientists. Reviewer comments on the Maple edition of NONLINEAR PHYSICS: "An...excellent book...the authors have been able to cover an extraordinary range of topics and hopefully excite a wide audience to investigate nonlinear phenomena...accessible to advanced undergraduates and yet challenging enough for graduate students and workingscientists.... The reader is guided through it all with sound advice and humor.... I hope that many will adopt the text." -American Journal of Physics "Its organization of subject matter, clarity of writing, and smooth integration of analytic and computational techniques put it among the very best...Richard Enns and George McGuire have written an excellent text for introductory nonlinear physics." -Computers in Physics,.".correctly balances a good treatment of nonlinear, but also nonchaotic, behavior of systems with some of the exciting findings about chaotic dynamics...one of the book's strength is the diverse selection of examples from mechanical, chemical, electronic, fluid and many other systems .... Another strength of the book is the diversity of approaches that the student is encouraged to take...the authors have chosen well, and the trio of text, ...software, and lab manual gives the newcomer to nonlinear physics quite an effective set of tools.... Basic ideas are explained clearly and illustrated with many examples." -Physics Today,.". the care that the authors have taken to ensure that their text is as comprehensive, versatile, interactive, and student-friendly as possible place this book far above the average." -Scientific Computing World

Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.

Soft computing techniques are innovative tools that use nature-inspired algorithms to run predictive analysis of industries from business to software measurement. These tools have gained momentum in recent years for their practicality and flexibility. The Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making collects both empirical and applied research in the field of fuzzy set theory, and bridges the gap between the application of soft computational approaches and the organizational decision making process. This publication is a pivotal reference for business professionals, IT specialists, software engineers, and advanced students of business and information technology.

ITIL(R) 4 High-velocity ITIf you've achieved your ITIL(R) 4 Foundation certificate, you're probably planning the next stage in your ITIL journey and which qualification to work towards. ITIL 4 High-velocity IT (HVIT) provides essential knowledge and capabilities for service management professionals, supporting those involved in the delivery of digital products and services and anyone working on digital transformation programs. High-velocity IT is one of the ITIL 4 advanced level modules that leads to the MP (Managing Professional) certification. The module is aimed at professionals who are working in fast-paced environments, including adapting service management to work with Lean, Agile and DevOps. The majority of this book is based on the official AXELOS ITIL(R) 4: High-velocity IT publication and the associated High-velocity IT Managing Professional syllabus. It provides students with the information they need to pass the High-velocity IT exam, and help them become a successful practitioner. Suitable for existing ITIL v3 experts, ITIL 4 MP students, ITSM (IT service management) practitioners who are adopting ITIL 4, approved training organisations, IT service managers, IT managers and those in IT support roles. The guide focuses on: Digital product lifecycle and the ITIL operating model; High-velocity key behaviours; Principles, models and concepts; Ensuring: valuable investments, fast development, resilient operations and assured conformance; and Exam preparation. A useful tool throughout your careerIn addition to being an essential study aid, the author - a seasoned ITSM professional - also provides additional guidance throughout the book which you can lean on once your training and exam are over. The book includes her own practical experience from which she gives advice and points to think about along the way so that you can refer back to this book for years to come - long after you've passed your exam. The essential link between your ITIL qualification and the real world - buy this book today!

ITIL(R) 4 Create, Deliver and SupportIf you've achieved your ITIL(R) 4 Foundation certificate, you're probably planning the next stage in your ITIL journey and which qualification to work towards. ITIL 4 Create, Deliver and Support (CDS) provides essential knowledge and capabilities for service management professionals, focusing on a value stream based approach to IT-enabled products and services - a must-have skillset practitioners should seek beyond Foundation level. The majority of this book is based on the official AXELOS ITIL(R) 4: Create, Deliver and Support publication and the associated Create, Deliver and Support Managing Professional syllabus. It provides students with the information they need to pass the Create, Deliver and Support exam, and help them become a successful practitioner. Suitable for existing ITIL v3 experts, ITIL 4 Managing Professional (MP) students, ITSM (IT service management) practitioners who are adopting ITIL 4, approved training organisations, IT service managers, IT managers and those in IT support roles. The guide focuses on: Service value system key concepts and challenges; Using a shift-left approach; Planning and managing resources in the service value system; The use and value of technology across the service value system; ITIL practices and value streams for new services and user support; How to create, deliver and support services; and Exam preparation. A useful tool throughout your careerIn addition to being an essential study aid, the author - a seasoned ITSM professional - also provides additional guidance throughout the book which you can lean on once your training and exam are over. The book includes her own practical experience from which she gives advice and points to think about along the way so that you can refer back to this book for years to come - long after you've passed your exam. The essential link between your ITIL qualification and the real world - buy this book today!

Service-oriented computing has recently gained extensive momentum in both industry and academia, and major software vendors hook on to the service paradigm and tailor their software systems towards services in order to accommodate ever-changing process and product requirements in today s dynamic market environments. While dynamic binding of services at runtime was identified as a core functionality of service-based environments as far back as 2000, its industrial-strength implementation has yet to be achieved. The main reason for this is the lack of rich service specifications, concepts, and tools to process them.

This book introduces advanced concepts in service provisioning and service engineering, including semantic concepts, dynamic discovery and composition, and illustrates them in a concrete business use case scenario. To prove the validity of the concepts and technologies, a semantic service provisioning reference architecture framework as well as a prototypical implementation of its subsystems and a prototypical realization of a proper business scenario are presented. Thus the book goes way beyond current service-based software technologies by providing a coherent and consistent set of technologies and systems functionality that realizes advanced concepts in service provisioning.

Both the use case scenario and the provisioning platform have already been substantiated and implemented by the EU-funded Adaptive Services Grid project. The book therefore presents state-of-the-art research results that have already passed a real industrial implementation evaluation which is based on the work of over 20 European partners cooperating in the field of semantic service provisioning."

A step-by-step approach to problem-solving techniques using SPSS(R) in the fields of sports science and physical education Featuring a clear and accessible approach to the methods, processes, and statistical techniques used in sports science and physical education, Sports Research with Analytical Solution using SPSS(R) emphasizes how to conduct and interpret a range of statistical analysis using SPSS. The book also addresses issues faced by research scholars in these fields by providing analytical solutions to various research problems without reliance on mathematical rigor. Logically arranged to cover both fundamental and advanced concepts, the book presents standard univariate and complex multivariate statistical techniques used in sports research such as multiple regression analysis, discriminant analysis, cluster analysis, and factor analysis. The author focuses on the treatment of various parametric and nonparametric statistical tests, which are shown through the techniques and interpretations of the SPSS outputs that are generated for each analysis. Sports Research with Analytical Solution using SPSS(R) also features: * Numerous examples and case studies to provide readers with practical applications of the analytical concepts and techniques * Plentiful screen shots throughout to help demonstrate the implementation of SPSS outputs * Illustrative studies with simulated realistic data to clarify the analytical techniques covered * End-of-chapter short answer questions, multiple choice questions, assignments, and practice exercises to help build a better understanding of the presented concepts * A companion website with associated SPSS data files and PowerPoint(R) presentations for each chapter Sports Research with Analytical Solution using SPSS(R) is an excellent textbook for upper-undergraduate, graduate, and PhD-level courses in research methods, kinesiology, sports science, medicine, nutrition, health education, and physical education. The book is also an ideal reference for researchers and professionals in the fields of sports research, sports science, physical education, and social sciences, as well as anyone interested in learning SPSS.