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Bayesian Nonparametrics (Repost)

Posted By: AvaxGenius
Date: 30 Jul 2022 10:52:09
Bayesian Nonparametrics (Repost)

Bayesian Nonparametrics by J. K. Ghosh, R. V. Ramamoorthi
English | PDF | 2003 | 311 Pages | ISBN : 0387955372 | 2.1 MB

Bayesian nonparametrics has grown tremendously in the last three decades, especially in the last few years. This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonparametric methods of classical statistics.
Details

Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance (Repost)

Posted By: AvaxGenius
Date: 26 Apr 2022 14:13:05
Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance (Repost)

Advances in Degradation Modeling: Applications to Reliability, Survival Analysis, and Finance by M.S. Nikulin
English | PDF | 2010 | 436 Pages | ISBN : 0817649239 | 6.2 MB

This volume—dedicated to William Q. Meeker on the occasion of his sixtieth birthday—is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics, and finance.
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Nonparametric Bayesian Inference in Biostatistics (Reposr)

Posted By: AvaxGenius
Date: 6 Apr 2022 14:17:59
Nonparametric Bayesian Inference in Biostatistics (Reposr)

Nonparametric Bayesian Inference in Biostatistics by Riten Mitra
English | PDF | 2015 | 448 Pages | ISBN : 3319195174 | 10 MB

As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches.
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Survival Analysis: A Self-Learning Text

Posted By: AvaxGenius
Date: 14 Nov 2021 17:05:00
Survival Analysis: A Self-Learning Text

Survival Analysis: A Self-Learning Text by David G. Kleinbaum
English | PDF | 1994 | 332 Pages | ISBN : 0387945431 | 29 MB

This text on smvival analysis methods contains the following chapters: 1 Introduction to Smvival Analysis 2 Kaplan-Meier Survival Curves and the Log-Rank Test 3 The Cox Proportional Hazards Model and Its Characteristics 4 Evaluating the Proportional Hazards Assumption 5 The Stratified Cox Procedure 6 Extension of the Cox Proportional Hazards Model for Time­ Dependent Variables Each chapter contains a presentation of its topic in '1ecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test.
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Statistics for Lawyers

Posted By: AvaxGenius
Date: 14 Nov 2021 14:03:16
Statistics for Lawyers

Statistics for Lawyers by Michael O. Finkelstein
English | PDF | 1990 | 631 Pages | ISBN : 038797136X | 39.9 MB

Statistics for Lawyers presents the science of statistics in action at the cutting edge of legal problems. A series of more than 90 case studies, drawn principally from actual litigation, have been selected to illustrate important areas of the law in which statistics has played a role and to demonstrate a variety of statistical tools. Some case studies raise legal issues that are being intensely debated and lie at the edge of the law.
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