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Applied Asymptotics

By Brazzale, A R

Applied Asymptotics Business, Finance & Career

Applied Asymptotics

By Brazzale, A R

0 - Default Title
Description
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 details
Edition:
illustrated
Number of Pages:
248
Release Date:
2007-05-31
Publication Date:
2007-05-31
Publisher:
Cambridge University Press
Languages:
Original: English
ISBN10:
0521847036
ISBN13:
9780521847032
Weight:
603 g
Height:
182 cm
Width:
257 cm
Thickness:
18 cm
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