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Applied Asymptotics: Case Studies in Small-Sample Statistics by A. R. Brazzale, A. C. Davison, N. Reid (Hardcover, 2007)

About this product

About this product

Product Information

In fields such as biology, medical sciences, sociology, and economics researchers often face the situation where the number of available observations, or the amount of available information, is sufficiently small that approximations based on the normal distribution may be unreliable. Theoretical work over the last quarter-century has led to new likelihood-based methods that lead to very accurate approximations in finite samples, but this work has had limited impact on statistical practice. This book illustrates by means of realistic examples and case studies how to use the new theory, and investigates how and when it makes a difference to the resulting inference. The treatment is oriented towards practice and comes with code in the R language (available from the web) which enables the methods to be applied in a range of situations of interest to practitioners. The analysis includes some comparisons of higher order likelihood inference with bootstrap or Bayesian methods.

Product Identifiers

Publisher
Cambridge University Press
ISBN-13
9780521847032
eBay Product ID (ePID)
95703265

Product Key Features

Author
A. R. Brazzale, A. C. Davison, N. Reid
Publication Name
Applied Asymptotics: Case Studies in Small-Sample Statistics
Format
Hardcover
Language
English
Subject
Government, Mathematics
Publication Year
2007
Type
Textbook
Number of Pages
248 Pages

Dimensions

Item Height
260mm
Item Width
185mm
Item Weight
604g

Additional Product Features

Title_Author
A. R. Brazzale, N. Reid, A. C. Davison
Series Title
Cambridge Series in Statistical and Probabilistic Mathematics
Country/Region of Manufacture
United Kingdom

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