This book is a contemporary introductiontotheorymethodsand computation in ...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...more
This book is a contemporary introductiontotheorymethodsand computation in ...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...more
This book now in its fourth printing provides anintroductionto the theory of...This book now in its fourth printing provides an introduction to the theory of regression analysis at a graduate level.more
A self-contained introductionto probability exchangeability and Bayes rule pr...A self-contained introduction to probability exchangeability and Bayes rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves....more
The interest inBayesianstatistics among theoretical and applied statistician...The interest in Bayesian statistics among theoretical and applied statisticians has increased dramatically in the last few years. This classic text and reference book remains one of the most important references.more
Pre-owned: This book is a contemporary introductiontotheorymethodsand comp...Pre-owned: 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 on emerging areas. No other such book is available in the market.more
This book now in its fourth printing provides anintroductionto the theory of...This book now in its fourth printing provides an introduction to the theory of regression analysis at a graduate level.more
Reliability analysis is concerned with the analysis of devices and systems who...Reliability analysis is concerned with the analysis of devices and systems whose individual components are prone to failure. This textbook presents an introduction to reliability analysis of repairable and non-repairable systems. It is based on...more
Any method of fitting equations to data may be called regression. Such equatio...Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em- pirically identifying how a...more
This book is for students and researchers who have had a first year graduate l...This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood Bayesian and permutation inference; an introduction to basic asymptotic distribution theory; and modern...more
The book will provide a comprehensive introductionto a wide variety of statis...The book will provide a comprehensive introduction to a wide variety of statistical methods for the analysis of repeated measurements. This topic is a very active resarch area and it will be of intereste to researchers graduate students and...more
A Second Course inStatistics The past decade has seen a tremendous increase i...A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software. Business and government professionals as well as academic...more
A self-contained introductionto probability exchangeability and Bayes rule pr...A self-contained introduction to probability exchangeability and Bayes rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves....more
This is an introductory-level text on stochastic modeling. It is suited for un...This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering operations research statistics mathematics actuarial science business management computer science and public policy. It employs a large...more
A self-contained introductionto probability exchangeability and Bayes rule pr...A self-contained introduction to probability exchangeability and Bayes rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves....more