Treatise on statistical inference and distributions / Kishore K. Das and Dibyojyoti Bhattacharjee.
Publication details: New Delhi : Asian Books, 2008.Description: xvi, 852 p. ; illustrationsISBN:- 9788184120820
- 000SA.1 23 D229
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Books | ISI Library, Kolkata | 000SA.1 D229 (Browse shelf(Opens below)) | Available | 137300 | |||
Books | ISI Library, Kolkata | 000SA.1 D229 (Browse shelf(Opens below)) | Available | 137301 |
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000SA.1 C337 Statistical inference / | 000SA.1 C337 Statistical inference / | 000SA.1 D229 Treatise on statistical inference and distributions / | 000SA.1 D229 Treatise on statistical inference and distributions / | 000SA.1 Ev92 No title | 000SA.1 G427 Robust minimum divergence inference using density power divergence and its extensions : | 000SA.1 H474 Applied statistical inference : |
Includes bibliographical references and index.
1. Random variables, probability distributions and generating functions --
2. Some discrete distributions --
3. Some continuous distributions --
4. Sampling distributions --
5. Mixture distributions and order statistics --
6. Bivariate distributions --
7. Point estimation --
8. Confidence interval estimation --
9. Testing of hypothesis --
10. Non-parametric test --
11. Multivariate distributions --
12. An overview of Bayesian inference --
13. Random process --
14. Monte Carlo simulation --
15. Additional solved illustrations: all chapters.
This book is written in view the students of B.Sc. (honours in Statistics), M.Sc. in Statistics, students preparing for the National Eligibility Test (NET) in Mathematical Sciences, Indian Statistical Service (ISS), Indian Administrative Service (IAS) and other state civil services examinations and Statistics as one of the subjects. The book is divided into 15 chapters. The book is a utility text and to the readers of the book it will come as a hand book at all the different levels for which the book is intended. The book starts directly with the random variables and their properties after a brief overview of probability theory. Some of the important generating functions and their properties are also been dealt with.
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