Statistical inference / George Casella and Roger L. Berger.
Material type: TextLanguage: English Series: Duxbury advanced seriesPublication details: New Delhi : Cengage learning, 2013.Edition: 2nd edDescription: xxviii, 660 p. : illustrations ; 25 cmISBN:- 9788131503942
- 000SA.1 23 C337
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 000SA.1 C337 (Browse shelf(Opens below)) | Available | C26512 | |||
Books | ISI Library, Kolkata NBHM Collection | 000SA.1 C337 (Browse shelf(Opens below)) | Available | 129583 |
Includes bibliographical references and indexes.
1. Probability theory --
2. Transformations and expectations --
3. Common families of distributions --
4. Multiple random variables --
5. Properties of a random sample --
6. Principles of data reduction --
7. Point estimation --
8. Hypothesis testing --
9. Interval estimation --
10. Asymptotic evaluations --
11. Analysis of variance and regression --
12. Regression models.
Casella and Berger's new edition builds the theoretical statistics from the first principals of probability theory. Thoroughly and completely, the authors start with the basics of probability and then move on to develop the theory of statistical inference using techniques, definitions, and statistical concepts.
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