Introduction to Decision Science
Author: Sang M. Lee
Publisher:
Published: 1975
Total Pages: 620
ISBN-13:
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Introduction to Data Science
Author: Rafael A. Irizarry
Publisher: CRC Press
Published: 2019-11-20
Total Pages: 794
ISBN-13: 1000708039
DOWNLOAD EBOOKIntroduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Decision Sciences
Author: Paul R. Kleindorfer
Publisher: Cambridge University Press
Published: 1993-08-27
Total Pages: 484
ISBN-13: 9780521338127
DOWNLOAD EBOOKThe long-awaited textbook on the developing field of decision sciences. This book compares different types of decision making and emphasises the link between problem finding and problem solving.
Decision Science for Future Earth
Author: Tetsukazu Yahara
Publisher: Springer Nature
Published: 2021-01-29
Total Pages: 251
ISBN-13: 9811586322
DOWNLOAD EBOOKThis open access book provides a theoretical framework and case studies on decision science for regional sustainability by integrating the natural and social sciences. The cases discussed include solution-oriented transdisciplinary studies on the environment, disasters, health, governance and human cooperation. Based on these case studies and comprehensive reviews of relevant works, including lessons learned from past failures for predictable surprises and successes in adaptive co-management, the book provides the reader with new perspectives on how we can co-design collaborative projects with various conflicts of interest and how we can transform our society for a sustainable future. The book makes a valuable contribution to the global research initiative Future Earth, promoting transdisciplinary studies to bridge the gap between science and society in knowledge generation processes and supporting efforts to achieve the UN’s Sustainable Development Goals (SDGs). Compared to other publications on transdisciplinary studies, this book is unique in that evolutionary biology is used as an integrator for various areas related to human decision-making, and approaches social changes as processes of adaptive learning and evolution. Given its scope, the book is highly recommended to all readers seeking an integrated overview of human decision-making in the context of social transformation.
An Introduction to Decision Theory
Author: Martin Peterson
Publisher: Cambridge University Press
Published: 2017-03-30
Total Pages: 351
ISBN-13: 1107151597
DOWNLOAD EBOOKA comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.
Decision Science and Technology
Author: James Shanteau
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 425
ISBN-13: 1461550890
DOWNLOAD EBOOKDecision Science and Technology is a compilation of chapters written in honor of a remarkable man, Ward Edwards. Among Ward's many contributions are two significant accomplishments, either of which would have been enough for a very distinguished career. First, Ward is the founder of behavioral decision theory. This interdisciplinary discipline addresses the question of how people actually confront decisions, as opposed to the question of how they should make decisions. Second, Ward laid the groundwork for sound normative systems by noticing which tasks humans can do well and which tasks computers should perform. This volume, organized into five parts, reflects those accomplishments and more. The book is divided into four sections: `Behavioral Decision Theory' examines theoretical descriptions and empirical findings about human decision making. `Decision Analysis' examines topics in decision analysis.`Decision in Society' explores issues in societal decision making. The final section, `Historical Notes', provides some historical perspectives on the development of the decision theory. Within these sections, major, multi-disciplinary scholars in decision theory have written chapters exploring some very bold themes in the field, as an examination of the book's contents will show. The main reason for the health of the Decision Analysis field is its close links between theory and applications that have characterized it over the years. In this volume, the chapters by Barron and Barrett; Fishburn; Fryback; Keeney; Moreno, Pericchi, and Kadane; Howard; Phillips; Slovic and Gregory; Winkler; and, above all, von Winterfeldt focus on those links. Decision science originally developed out of concern with real decision problems; and applied work, such as is represented in this volume, will help the field to remain strong.
Decision Sciences
Author: Raghu Nandan Sengupta
Publisher: CRC Press
Published: 2016-11-30
Total Pages: 936
ISBN-13: 1351727400
DOWNLOAD EBOOKThis handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research. Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.
Application of Decision Science in Business and Management
Author: Fausto Pedro García Márquez
Publisher: BoD – Books on Demand
Published: 2020-03-04
Total Pages: 247
ISBN-13: 1838800999
DOWNLOAD EBOOKApplication of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.
Decision Science
Author: Th. H. B. Hendriks
Publisher:
Published: 2007
Total Pages: 0
ISBN-13: 9789086860012
DOWNLOAD EBOOKDecision science is the discipline that is concerned with the development and applications of quantitative methods and techniques to support decision making processes. This extensively revised edition of two former versions of the book discusses the general principles and often used optimization techniques such as linear programming, integer programming, dynamic programming, non-linear programming, network theory, simulation and stochastic programming. This book aims to fill in the gap between theory and practice. It discusses the theoretical background of important quantitative methods and techniques as well as how they can be applied to practical decision making problems. Therefore, the modeling process is illustrated with examples of firms, consumers, governments and other non-profit organizations in agriculture related sectors. The authors have used their vast didactical experience to find a proper balance between mathematical exactness, knowledge and readability on the one hand and offer understanding, insights and applicability of the subjects on the other hand. The book is therefore an essential asset in introductory courses on decision science in undergraduate, postgraduate and research programmes.
Breakthroughs in Decision Science and Risk Analysis
Author: Louis Anthony Cox, Jr.
Publisher: John Wiley & Sons
Published: 2015-03-30
Total Pages: 328
ISBN-13: 1118217160
DOWNLOAD EBOOKDiscover recent powerful advances in the theory, methods, and applications of decision and risk analysis Focusing on modern advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science. Highlighting topics not conventionally found in DA textbooks, the book illustrates genuine advances in practical decision science, including developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges such as online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to explain available data and recommend actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes: An emphasis on new approaches rather than only classical and traditional ideas Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management Innovative methods for deciding what actions to take when decision problems are not completely known or described or when useful probabilities cannot be specified Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management.
