Beginning with a brief historical perspective, this text discusses the basic concept of sufficient statistics and the classical approach based on minimum variance unbiased estimator. It dedicates a chapter to explaining key concepts, such as the simultaneous estimation of several parameters, large sample theory of estimation, hypotheses testing and several others, before developing the tests of hypotheses for finite samples with classical Neyman - Pearson theory.
Product Identifiers
Publisher
Alpha Science International Ltd
ISBN-13
9781842652190
eBay Product ID (ePID)
106971374
Product Key Features
Author
B.K. Kale
Publication Name
A First Course on Parametric Inference
Format
Hardcover
Language
English
Subject
Mathematics
Publication Year
2005
Type
Textbook
Number of Pages
308 Pages
Dimensions
Item Height
240mm
Item Width
160mm
Additional Product Features
Title_Author
B.K. Kale
Country/Region of Manufacture
United Kingdom
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