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Parametric Statistical Inference

By Lindsey, James K.

Parametric Statistical Inference

By Lindsey, James K.

0 - Default Title
Description
Inference involves drawing conclusions about some general phenomenon from limited empirical observations in the face of random variability. In a scientific context, the general must include the completely unforeseen if all possibilities are to be considered. Many of the statistical models most used to describe such phenomena belong to one of a small number of families--the exponential, transformation, and stable families. In the past 25 years, the likelihood function has been recognized as the fundamental element of approach to drawing scientific conclusions. This book brings together for the first time these two components of statistics as the central themes of statistical inference. Chapters focus on model building, approximations, and examples. There are also appendices on the elements of measure theory, probability theory, and numerical methods. The discussions are appropriate for students of mathematical statistics.
Product details
Edition:
illustrated
Number of Pages:
512
Release Date:
1996-08-01
Publication Date:
1996-05-09
Publisher:
OUP Oxford
Languages:
Original: English
ISBN10:
0198523599
ISBN13:
9780198523598
GPSR Manufacturer Reference:
[email protected]
Weight:
928 g
Height:
161 cm
Width:
240 cm
Thickness:
32 cm
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