Probability Matching Priors: Higher Order Asymptotics PDF Download
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Author: Gauri Sankar Datta
Publisher: Springer Science & Business Media
ISBN: 146122036X
Category : Mathematics
Languages : en
Pages : 138
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Book Description
This is the first book on the topic of probability matching priors. It targets researchers, Bayesian and frequentist; graduate students in Statistics.
Author: Gauri Sankar Datta
Publisher: Springer Science & Business Media
ISBN: 146122036X
Category : Mathematics
Languages : en
Pages : 138
Get Book Here
Book Description
This is the first book on the topic of probability matching priors. It targets researchers, Bayesian and frequentist; graduate students in Statistics.
Author: Gauri Sankar Datta
Publisher:
ISBN: 9781461220374
Category :
Languages : en
Pages : 144
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Book Description
Author: Subhashis Ghosal
Publisher:
ISBN:
Category :
Languages : en
Pages : 16
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Book Description
Author: Upasana Santra
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
There however, does not exist a prior that satisfies the matching via distribution functions criterion in this case. Finally, a general class of priors have been obtained for inference about the ratio of standard deviations. The propriety of the resultant posteriors is proved in each case under mild conditions and simulation results suggest that the approximations are valid even for moderate sample sizes. Further, several likelihood based methods have been considered for the correlation coefficient. One common feature of all these modified likelihoods is that they are all dependent on the data only through the sample correlation coefficient r.
Author: Daniel R. Eno
Publisher:
ISBN:
Category : Calibration
Languages : en
Pages : 25
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Book Description
Author: Dharini Pathmanathan
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 312
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Book Description
Author: Ji-qian Fang
Publisher: #N/A
ISBN: 9813148977
Category : Medical
Languages : en
Pages : 852
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Book Description
This unique volume focuses on the 'tools' of medical statistics. It contains over 500 concepts or methods, all of which are explained very clearly and in detail.Each chapter focuses on a specific field and its applications. There are about 20 items in each chapter with each item independent of one another and explained within one page (plus references). The structure of the book makes it extremely handy for solving targeted problems in this area.As the goal of the book is to encourage students to learn more combinatorics, every effort has been made to provide them with a not only useful, but also enjoyable and engaging reading.This handbook plays the role of 'tutor' or 'advisor' for teaching and further learning. It can also be a useful source for 'MOOC-style teaching'.
Author:
Publisher: Elsevier
ISBN: 0080461174
Category : Mathematics
Languages : en
Pages : 1062
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Book Description
This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. Critical thinking on causal effects Objective Bayesian philosophy Nonparametric Bayesian methodology Simulation based computing techniques Bioinformatics and Biostatistics
Author: S.E. Ahmed
Publisher: Springer Science & Business Media
ISBN: 1461301416
Category : Mathematics
Languages : en
Pages : 242
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Book Description
Bayesian and such approaches to inference have a number of points of close contact, especially from an asymptotic point of view. Both emphasize the construction of interval estimates of unknown parameters. In this volume, researchers present recent work on several aspects of Bayesian, likelihood and empirical Bayes methods, presented at a workshop held in Montreal, Canada. The goal of the workshop was to explore the linkages among the methods, and to suggest new directions for research in the theory of inference.
Author: Asit P Basu
Publisher: World Scientific
ISBN: 9814496529
Category : Technology & Engineering
Languages : en
Pages : 448
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Book Description
This volume presents recent results in reliability theory by leading experts in the world. It will prove valuable for researchers, and users of reliability theory. It consists of refereed invited papers on a broad spectrum of topics in reliability. The subjects covered include Bayesian reliability, Bayesian reliability modeling, confounding in a series system, DF tests, Edgeworth approximation to reliability, estimation under random censoring, fault tree reduction for reliability, inference about changes in hazard rates, information theory and reliability, mixture experiment, mixture of Weibull distributions, queuing network approach in reliability theory, reliability estimation, reliability modeling, repairable systems, residual life function, software spare allocation systems, stochastic comparisons, stress-strength models, system-based component test plans, and TTT-transform.
