# Statistical inference / George Casella, Roger L. Berger.

##### By: Casella, George

##### Contributor(s): Berger, Roger L

Material type: TextLanguage: English Series: Duxbury advanced series: Publisher: Pacific Grove, Calif. : Duxbury/Thomson Learning, c2002; Delhi Cengage Learning India private Limited 2013Edition: 2nd edDescription: xxviii, 660 p. : ill. ; 25 cmISBN: 0534243126; 9780534243128; 9788131503942Subject(s): Mathematical statistics | ProbabilitiesDDC classification: 519.5 LOC classification: QA276 | .C37 2002Online resources: WorldCat details | E-book FulltextItem type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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E-Book | EWU Library E-book | Non-fiction | 519.5 CAS 2013 (Browse shelf) | Not For Loan | ||||

Text | EWU Library Reserve Section | Non-fiction | 519.5 CAS 2013 (Browse shelf) | C-1 | Not For Loan | 25676 | ||

Text | EWU Library Reserve Section | Non-fiction | 519.5 CAS 2013 (Browse shelf) | C-2 | Not For Loan | 25677 | ||

Text | EWU Library Circulation Section | Non-fiction | 519.5 CAS 2013 (Browse shelf) | C-3 | Available | 25678 | ||

Text | EWU Library Circulation Section | Non-fiction | 519.5 CAS 2013 (Browse shelf) | C-4 | Available | 25679 | ||

Text | EWU Library Circulation Section | Non-fiction | 519.5 CAS 2013 (Browse shelf) | C-5 | Available | 25680 |

Online version:

Casella, George.

Statistical inference.

Australia ; Pacific Grove, CA : Thomson Learning, c2002

(OCoLC)623830164

Includes bibliographical references (p. [629]-644) and indexes.

Table of contents Probability theory --

Transformations and expectations --

Common families of distributions --

Multiple random variables --

Properties of a random sample --

Principles of data reduction --

Point estimation --

Hypothesis testing --

Interval estimation --

Asymptotic evaluations --

Analysis of variance and regression --

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.

Applied Statistics

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