Statistical Inference Based On Divergence Measures

Presents classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence with applications to multinomial and generation populations. On the basis of divergence measures, this book introduces minimum divergence estimators as well as divergence test statistics.

• | By (Author): Leandro (University of Madrid, Spain) Pardo
• | Series: Statistics: A Series of Textbooks and Monographs
• | Publisher: Taylor & Francis Inc
• | Publication Date: Oct 10, 2005
• | Country of Publication: United States
• | Number of Pages: 512 pages
• | Language: Not available
• | Binding: Hardback
• | ISBN-10: 0007233485
• | ISBN-13: 9781584886006