Models for discrete data / Daniel Zelterman.

Format:

Book

Author/Creator:

Zelterman, Daniel.

Language:

English

Subjects (All):

Multivariate analysis.

Physical Description:

x, 233 pages : illustrations ; 25 cm

Place of Publication:

Oxford ; New York : Clarendon Press, 1999.

Summary:

Discrete or count data arises in experiments where the outcomes are countable and classified into unique, non-overlapping categories. This book describes the statistical models for evaluating such data. It provides an introduction for graduate students and a concise review for practitioners. The book provides the first in-depth coverage of a number of topics, including the negative multinomial distribution, the many forms of hypergeometric distribution, and coordinate-free models. A detailed treatment of the issues of sample size and power is given in terms of exact inference and asymptotic, non-central chi-squared approximations. Throughout the text, the author interweaves standard statistical software, particularly SAS, with practical examples and current theory.

Notes:

Includes bibliographical references (pages [215]-220) and indexes.

ISBN:

0198524366

OCLC:

40218836