Amazon cover image
Image from Amazon.com

Essentials of statistical inference

By: Contributor(s): Material type: TextTextSeries: Cambridge series in statistical and probabilistic mathematics,16Publication details: USA Cambridge University Press 2005 Description: x, 225 pISBN:
  • 9780521839716
Subject(s): DDC classification:
  • 519.5
Summary: This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, it covers basic mathematical theory as well as more advanced material, including such contemporary topics as Bayesian computation, higher-order likelihood theory, predictive inference, bootstrap methods, and conditional inference.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 28-B / Slot 1417 (0 Floor, East Wing) General Stacks 519.5 Y9E8 (Browse shelf(Opens below)) Available 162553

This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, it covers basic mathematical theory as well as more advanced material, including such contemporary topics as Bayesian computation, higher-order likelihood theory, predictive inference, bootstrap methods, and conditional inference.

There are no comments on this title.

to post a comment.