Bayesian Theory And Methods

Bayesian Theory and Methods with Applications  

Posted by fdts at Jan. 4, 2016
Bayesian Theory and Methods with Applications

Bayesian Theory and Methods with Applications (Atlantis Studies in Probability and Statistics)
by Vladimir Savchuk (Author), Chris P. Tsokos
English | 2011 | ISBN: 9491216139 | 318 pages | PDF | 3.75 MB
An Introduction to Bayesian Analysis: Theory and Methods (repost)

An Introduction to Bayesian Analysis: Theory and Methods by Jayanta K. Ghosh and Mohan Delampady
English | 2006-08-28 | ISBN: 0387400842 | PDF | 352 pages | 4,6 MB
Jayanta K. Ghosh, An Introduction to Bayesian Analysis: Theory and Methods (Repost)

Jayanta K. Ghosh, An Introduction to Bayesian Analysis: Theory and Methods
ISBN: 0387400842 | edition 2006 | PDF | 356 pages | 15 mb

This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing.
An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)

An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)
Publisher:Springer (2006-07-27) | ISBN-10: 0387400842 | PDF | 3.3 Mb | 352 pages

This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that have stood the test of time and emerging areas such as reference priors, objective Bayes testing, Bayesian model selection and wavelets. No other such book is available in the market.

Critically Reading the Theory and Methods of Archaeology: An Introductory Guide  eBooks & eLearning

Posted by nebulae at Nov. 26, 2016
Critically Reading the Theory and Methods of Archaeology: An Introductory Guide

Guy Gibbon, "Critically Reading the Theory and Methods of Archaeology: An Introductory Guide"
English | ISBN: 0759123403, 0759123411 | 2013 | 255 pages | PDF | 5 MB

Inverse Problem Theory and Methods for Model Parameter Estimation [Repost]  eBooks & eLearning

Posted by tanas.olesya at April 27, 2016
Inverse Problem Theory and Methods for Model Parameter Estimation [Repost]

Inverse Problem Theory and Methods for Model Parameter Estimation by Albert Tarantola
English | Dec. 20, 2004 | ISBN: 0898715725 | 358 Pages | PDF | 20 MB

The use of actual observations to infer the properties of a model is an inverse problem, which are often difficult as they may not have a unique solution. This book proposes a general approach that is valid for linear as well as for nonlinear problems.

Sampling Theory and Methods  

Posted by leonardo78 at Jan. 8, 2016
Sampling Theory and Methods

Sampling Theory and Methods by S. Sampath
Publisher: Narosa | 2000 | ISBN: 0849309808 | 144 pages | PDF | 3,77 MB

Sampling Theory and Methods presents the theoretical aspects of "Sample Surveys" in a lucid form for the benefit of both undergraduate and post graduate students of Statistics. It assumes very little background in probability theory.

Bayesian Theory and Applications (Repost)  

Posted by tukotikko at Nov. 9, 2015
Bayesian Theory and Applications (Repost)

Bayesian Theory and Applications By Paul Damien, Petros Dellaportas
2013 | 720 Pages | ISBN: 0199695601 | PDF | 8 MB
To Advanced Proficiency and Beyond: Theory and Methods for Developing Superior Second Language Ability

To Advanced Proficiency and Beyond: Theory and Methods for Developing Superior Second Language Ability by Tony Brown and Jennifer Bown
English | 2015 | ISBN: 1626161739 | 240 pages | PDF | 2 MB
Statistical Analysis of Reliability and Life-Testing Models: Theory and Methods, Second Edition,

Statistical Analysis of Reliability and Life-Testing Models: Theory and Methods, Second Edition, (Statistics: A Series of Textbooks and Monographs) by Lee Bain
English | Mar. 29, 1991 | ISBN: 0824785061 | 512 Pages | PDF | 15.06 MB

Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical development of the procedures.