Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Statistical inference / George Casella and Roger L. Berger.

By: Contributor(s): Material type: TextTextLanguage: English Series: Duxbury advanced seriesPublication details: New Delhi : Cengage learning, 2013.Edition: 2nd edDescription: xxviii, 660 p. : illustrations ; 25 cmISBN:
  • 9788131503942
Subject(s): DDC classification:
  • 000SA.1 23 C337
Contents:
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.
Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
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
Total holds: 0

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.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in