BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Bayesian Methods for Finite Population Sampling

Bayesian Methods for Finite Population Sampling

Bayesian Methods for Finite Population Sampling
Stock photo: cover may vary

Bayesian Methods for Finite Population Sampling Hardback -

by G. Meeden Malay Ghosh Glen Meeden

Add to wish list
  • Used
  • Hardback
Used

Description

Springer , pp. x + 289 . Hardback. Used.
Ask the seller a question Add to wish list
A$279.49
A$5.85 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)

Details

  • Title Bayesian Methods for Finite Population Sampling
  • Author G. Meeden Malay Ghosh Glen Meeden
  • Binding Hardback
  • Edition 1st
  • Condition Used
  • Pages 300
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date pp. x + 289
  • Bookseller's Inventory # 6634931
  • ISBN 9780412987717 / 0412987716
  • Weight 1.59 lbs (0.72 kg)
  • Dimensions 9.19 x 6.13 x 0.73 in (23.34 x 15.57 x 1.85 cm)
  • Category Mathematics
  • Library of Congress subjects Bayesian statistical decision theory, Sampling (Statistics)
  • Library of Congress Catalogue Number 00710685
  • Dewey Decimal Code 001.433
  • Quantity available 1

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Bayesian Methods for Finite Population Sampling

From the publisher

Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels of prior information can be used in survey sampling in a Bayesian manner. Situations considered range from a noninformative Bayesian justification of standard frequentist methods when the only prior information available is the belief in the exchangeability of the units to a full-fledged Bayesian model. Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.
tracking-