Mathematics of the Decision Sciences
Author: George Bernard Dantzig
Publisher: American Mathematical Soc.
Published: 1968-12-31
Total Pages: 444
ISBN-13: 9780821896815
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Author: George Bernard Dantzig
Publisher: American Mathematical Soc.
Published: 1968-12-31
Total Pages: 444
ISBN-13: 9780821896815
DOWNLOAD EBOOKAuthor: 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.
Author: George Bernard Dantzig
Publisher:
Published: 1968
Total Pages: 444
ISBN-13:
DOWNLOAD EBOOKAuthor: Herman Chernoff
Publisher: Courier Corporation
Published: 1986-01-01
Total Pages: 386
ISBN-13: 9780486652184
DOWNLOAD EBOOKThis well-respected introduction to statistics and statistical theory covers data processing, probability and random variables, utility and descriptive statistics, computation of Bayes strategies, models, testing hypotheses, and much more. 1959 edition.
Author: Peter C. Fishburn
Publisher:
Published: 1972
Total Pages: 120
ISBN-13:
DOWNLOAD EBOOKAuthor: Hung T. Nguyen
Publisher: Springer Science & Business Media
Published: 1997-10-31
Total Pages: 440
ISBN-13: 9780792347224
DOWNLOAD EBOOKThis volume is intended to be used as a textbook for a special topic course in computer science. It addresses contemporary research topics of interest such as intelligent control, genetic algorithms, neural networks, optimization techniques, expert systems, fractals, and computer vision. The work incorporates many new research ideas, and focuses on the role of continuous mathematics. Audience: This book will be valuable to graduate students interested in theoretical computer topics, algorithms, expert systems, neural networks, and software engineering.
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.
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.
Author: Dreyfus
Publisher: Academic Press
Published: 1977-06-29
Total Pages: 301
ISBN-13: 0080956394
DOWNLOAD EBOOKThe Art and Theory of Dynamic Programming
Author: Bikas Kumar Sinha
Publisher: Springer Nature
Published: 2021-08-31
Total Pages: 280
ISBN-13: 9811613680
DOWNLOAD EBOOKThis book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.