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Uncertainty, 


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Цена: 10480.00р.
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Название:  Uncertainty
ISBN: 9783319397559
Издательство: Springer
Классификация:



ISBN-10: 3319397559
Обложка/Формат: Hardback
Страницы: 258
Вес: 0.57 кг.
Дата издания: 30.06.2016
Язык: English
Издание: 1st ed. 2016
Иллюстрации: 21 tables, color; 23 illustrations, black and white; xix, 258 p. 23 illus.
Размер: 237 x 160 x 21
Читательская аудитория: General (us: trade)
Подзаголовок: The soul of modeling, probability & statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the Cult of Statistical Significance.
The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models.
Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.

Дополнительное описание: Truth, Argument, Realism.- Logic.- Induction and Intellection.- What Probability Is.- What Probability Is Not.- Chance and Randomness.- Causality.- Probability Models.- Statistical and Physical Models.- Modelling Goals, Strategies, and Mistakes.



Willful Ignorance: The Mismeasure of Uncertainty

Автор: Herbert I. Weisberg
Название: Willful Ignorance: The Mismeasure of Uncertainty
ISBN: 0470890444 ISBN-13(EAN): 9780470890448
Издательство: Wiley
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Цена: 4586.00 р.
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Описание: This provocative new book posits how the tacit principle of "willful ignorance" has led to a deep divide between qualitative and quantitative modes of research that will increasingly constrain scientific progress unless bridged by a broadened conception of statistical methodology.

Understanding Uncertainty, Revised Edition

Автор: Lindley
Название: Understanding Uncertainty, Revised Edition
ISBN: 1118650123 ISBN-13(EAN): 9781118650127
Издательство: Wiley
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Цена: 15674.00 р.
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Описание: With a focus on understanding and using probability calculations, Understanding Uncertainty demystifies probability and explains in straightforward detail the logic of uncertainty, its truths, and its falsehoods.

Shape Optimization under Uncertainty from a Stochastic Programming Point of View

Автор: Harald Held
Название: Shape Optimization under Uncertainty from a Stochastic Programming Point of View
ISBN: 3834809098 ISBN-13(EAN): 9783834809094
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Optimization problems whose constraints involve partial differential equations (PDEs) are relevant in many areas of technical, industrial, and economic app- cations. At the same time, they pose challenging mathematical research problems in numerical analysis and optimization. The present text is among the ?rst in the research literature addressing stochastic uncertainty in the context of PDE constrained optimization. The focus is on shape optimization for elastic bodies under stochastic loading. Analogies to ?nite dim- sional two-stage stochastic programming drive the treatment, with shapes taking the role of nonanticipative decisions.The main results concern level set-based s- chastic shape optimization with gradient methods involving shape and topological derivatives. The special structure of the elasticity PDE enables the numerical - lution of stochastic shape optimization problems with an arbitrary number of s- narios without increasing the computational effort signi?cantly. Both risk neutral and risk averse models are investigated. This monograph is based on a doctoral dissertation prepared during 2004-2008 at the Chair of Discrete Mathematics and Optimization in the Department of Ma- ematics of the University of Duisburg-Essen. The work was supported by the Deutsche Forschungsgemeinschaft (DFG) within the Priority Program "Optimi- tion with Partial Differential Equations." Rudiger Schultz Acknowledgments I owe a great deal to my supervisors, colleagues, and friends who have always supported, encouraged, andenlightenedmethroughtheirownresearch, comments, and questions.

Theory of Decision under Uncertainty

Автор: Gilboa
Название: Theory of Decision under Uncertainty
ISBN: 052151732X ISBN-13(EAN): 9780521517324
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: This book describes classical axiomatic theories of decision under uncertainty, critiques thereof, and alternative theories. It discusses the meaning of probability, focusing on the behavioral definition of subjective probability by Savage`s theorem. It presents non-additive and multiple prior theories, as well as the case-based approach to the formation of beliefs.


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