Автор: McElreath, Richard Название: Statistical Rethinking ISBN: 036713991X ISBN-13(EAN): 9780367139919 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.
Автор: Nash, Ph.D. Название: Reliability Assessments ISBN: 1498719171 ISBN-13(EAN): 9781498719179 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book provides engineers and scientists with a single source introduction to the concepts, models, and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects.
Section I contains a comprehensive overview of assessing and assuring reliability that is followed by discussions of: - Concept of randomness and its relationship to chaos - Uses and limitations of the binomial and Poisson distributions - Relationship of the chi-square method and Poisson curves - Derivations and applications of the exponential, Weibull, and lognormal models - Examination of the human mortality bathtub curve as a template for components
Section II introduces the case study modeling of failure data and is followed by analyses of: - 5 sets of ideal Weibull, lognormal, and normal failure data - 83 sets of actual (real) failure data
The intent of the modeling was to find the best descriptions of the failures using statistical life models, principally the Weibull, lognormal, and normal models, for characterizing the failure probability distributions of the times-, cycles-, and miles-to-failure during laboratory or field testing. The statistical model providing the preferred characterization was determined empirically by choosing the two-parameter model that gave the best straight-line fit in the failure probability plots using a combination of visual inspection and three statistical goodness-of-fit (GoF) tests.
This book offers practical insight in dealing with single item reliability and illustrates the use of reliability methods to solve industry problems.
Автор: Weber Название: Benefits of Bayesian Network Models ISBN: 184821992X ISBN-13(EAN): 9781848219922 Издательство: Wiley Рейтинг: Цена: 146730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field. Unfortunately, this modeling formalism is not fully accepted in the industry.
Автор: Erik Vanem; Elzbieta Maria Bitner-Gregersen; Chris Название: Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height ISBN: 3662521970 ISBN-13(EAN): 9783662521977 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an example of a thorough statistical treatment of ocean wave data in space and time. Furthermore, the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what that effect might be.
Автор: Peter M?ller; Brani Vidakovic Название: Bayesian Inference in Wavelet-Based Models ISBN: 0387988858 ISBN-13(EAN): 9780387988856 Издательство: Springer Рейтинг: Цена: 135090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Chapters in Part II explore different approaches to prior modeling, using independent priors. Papers in the Part III discuss decision theoretic aspects of such prior models. In Part IV, some aspects of prior modeling using priors that account for dependence are explored.
Автор: L. Bauwens Название: Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo ISBN: 3540133844 ISBN-13(EAN): 9783540133841 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In their review of the "Bayesian analysis of simultaneous equation systems", Dr ze and Richard (1983) - hereafter DR - express the following viewpoint about the present state of development of the Bayesian full information analysis of such sys- tems i) the method allows "a flexible specification of the prior density, including well defined noninformative prior measures"; ii) it yields "exact finite sample posterior and predictive densities". However, they call for further developments so that these densities can be eval- uated through 'numerical methods, using an integrated software packa e. To that end, they recommend the use of a Monte Carlo technique, since van Dijk and Kloek (1980) have demonstrated that "the integrations can be done and how they are done". In this monograph, we explain how we contribute to achieve the developments suggested by Dr ze and Richard. A basic idea is to use known properties of the porterior density of the param- eters of the structural form to design the importance functions, i. e. approximations of the posterior density, that are needed for organizing the integrations.
Автор: Mike West; Jeff Harrison Название: Bayesian Forecasting and Dynamic Models ISBN: 1475770987 ISBN-13(EAN): 9781475770988 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text is concerned with Bayesian learning, inference and forecasting in dynamic environments.
Автор: Mevin B. Hooten, Trevor Hefley Название: Bringing Bayesian Models to Life ISBN: 0367198487 ISBN-13(EAN): 9780367198480 Издательство: Taylor&Francis Рейтинг: Цена: 76550.00 T Наличие на складе: Невозможна поставка. Описание: This book presents details and algorithms for fully Bayesian computation, primarily for students and practitioners in the ecological and environmental sciences. It empowers the reader to extend and enhance statistical models for such data without software limitations.
Автор: Broemeling, Название: Bayesian Analysis of Linear Models ISBN: 0367451743 ISBN-13(EAN): 9780367451745 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the basic theory of linear models from a Bayesian viewpoint. It is unique in that time series models such as autoregressive moving average processes are treated as linear models in the same way the general linear model is examined.
Название: Generalized Linear Models ISBN: 0367398605 ISBN-13(EAN): 9780367398606 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Невозможна поставка. Описание: This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.
Автор: Rowe, Daniel B. Название: Multivariate Bayesian Statistics ISBN: 0367454661 ISBN-13(EAN): 9780367454661 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Невозможна поставка. Описание: Real-world source separation problems, encountered in disciplines from engineering and computer science to economics and image processing, are more difficult than they appear. Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing offers a thorough, self-contained treatment of the source separation problem. Part I provid
Автор: Congdon, Peter D. Название: Bayesian hierarchical models ISBN: 1032177152 ISBN-13(EAN): 9781032177151 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the second edition of a book on applied Bayesian modelling using WinBUGS. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies.
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