Skip to content

Principles of Statistical Inference
Stock Photo: Cover May Be Different

Principles of Statistical Inference Hardcover - 2006 - 1st Edition

by Cox, D. R

  • Used
  • Good
  • Hardcover
Drop Ship Order

Description

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
Used - Good
NZ$154.28
FREE Shipping to USA Standard delivery: 7 to 14 days
More Shipping Options
Ships from Bonita (California, United States)

Details

  • Title Principles of Statistical Inference
  • Author Cox, D. R
  • Binding Hardcover
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 236
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Date 2006-08-21
  • Bookseller's Inventory # 0521866731.G
  • ISBN 9780521866736 / 0521866731
  • Weight 1.14 lbs (0.52 kg)
  • Dimensions 9 x 6 x 0.69 in (22.86 x 15.24 x 1.75 cm)
  • Library of Congress subjects Probabilities, Mathematical statistics
  • Library of Congress Catalog Number 2006297166
  • Dewey Decimal Code 519.54

About Bonita California, United States

Biblio member since 2020
Seller rating: This seller has earned a 5 of 5 Stars rating from Biblio customers.

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

Browse books from Bonita

Summary

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.

First line

We typically start with a subject-matter question.