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عنوان
Applied Bayesian Statistic

پدید آورنده
/ by Mary Kathryn Cowles

موضوع
Statistics,Mathematical statistics,Electronic books

رده
E-BOOK

کتابخانه
المكتبة المركزية مركز التوثيق وتزويد المصادر العلمية

محل استقرار
استان: أذربایجان الشرقیة ـ شهر:

المكتبة المركزية مركز التوثيق وتزويد المصادر العلمية

تماس با کتابخانه : 04133443834

9781461456964

IR
EN-50087

انگلیسی

IR

Applied Bayesian Statistic
[Book]
:With R and OpenBUGS Examples
/ by Mary Kathryn Cowles

New York, NY
: Springer New York :Imprint: Springer,
, 2013.

XIV, 232 p. 68 illus., 27 illus. in color., online resource.

(Springer Texts in Statistics,1431-875X
; 98)

Electronic

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results. In addition, readers will learn to use the predominant software for Bayesian model-fitting, R and OpenBUGS. The practical approach this book takes will help students of all levels to build understanding of the concepts and procedures required to answer real questions by performing Bayesian analysis of real data. Topics covered include comparing and contrasting Bayesian and classical methods, specifying hierarchical models, and assessing Markov chain Monte Carlo output. Mary Kathryn(Kate) Cowles taught Suzuki piano for many years before going to graduate school in Biostatistics. Her research areas are Bayesian and computational statistics, with application to environmental science. She is on the faculty of Statistics at The University of Iowa.
What is Bayesian statistics? -- Review of probability -- Introduction to one-parameter models -- Inference for a population proportion -- Special considerations in Bayesian inference -- Other one-parameter models and their conjugate priors -- More realism please: Introduction to multiparameter models -- Fitting more complex Bayesian models: Markov chain Monte Carlo -- Hierarchical models, and more on convergence assessment -- Regression and hierarchical regression models -- Model Comparison, Model Checking, and Hypothesis Testing -- References -- Index.?╗╣

Springer Texts in Statistics,1431-875X
98

Statistics
Mathematical statistics
Electronic books

E-BOOK

Cowles, Mary Kathryn.

SpringerLink (Online service)

ایران

9781461456957.pdf
عادی
عادی
9781461456957.pdf
متن

old catalog

e

BL
1

a
Y

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