Statistical inference

By: Casella, GeorgeContributor(s): Berger, Roger LMaterial type: TextTextPublication details: Australia ; Pacific Grove, CA : Thomson Learning c2002Edition: 2nd editionDescription: xxviii, 660 pages. : illISBN: 0534243126; 9788131503942Subject(s): Mathematical statistics | ProbabilitiesDDC classification: 519.5 Online resources: Click here to access online | Click here to access online
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 519.5 CAS (Browse shelf(Opens below)) Available 015730
Total holds: 0

Includes Index

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.

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.

© University of Vavuniya

---