The Statistical Analysis of Discrete Data

By Greenhouse, Samuel W. | Journal of the American Statistical Association, September 1991 | Go to article overview

The Statistical Analysis of Discrete Data

Greenhouse, Samuel W., Journal of the American Statistical Association

Thomas J. Santner and Diane E. Duffy. New York: Springer-Verlag, 1989. xii + 367 pp. \$45.

The Statistical Analysis of Discrete Data (SADD) is an exceptional contribution to the textbook/monograph literature on the theory and methods of discrete data. It contains only four chapters beyond a very brief introduction: Chapter 2-Univariate Discrete Responses (79 pages); Chapter 3-Loglinear Models (23 pages); Chapter 4-Cross-Classified Data (53 pages) and Chapter 5-Univariate Discrete Data With Covariates (65 pages). There are four Appendixes. After each chapter and also after Appendix 4, there are excellent sets of problems.

To give the reader an impression of what SADD does and does not cover, it is best to quote the authors:

... we felt there was a need for a book which incorporated some of the
subject by emphasizing its ties to the well-known theories of linear
models, experimental design, and regression diagnostics, as well as
to describe alternative methodologies (Bayesian, smoothing, etc.).
..." (p. xi)

SADD covers the following specific topics: classical maximum likelihood (ML) estimators, estimators based on Bayesian, smoothing, shrinkage or ridge approaches for the estimation of parameters in structured and unstructured problems; ML estimator theory for log-linear models based on the idea of linear projection in order to demonstrate the similarities with ML estimation for normal linear models; standard testing and estimation formulations; simultaneous interval estimation; multiple comparisons; ranking and selection problems; some small-sample methods, especially for common confidence interval problems; recent research on graphical models for contingency tables and diagnostic tools for log-linear models and logistic regression. The authors wisely decided not to cover all aspects of the analysis of count data. Thus, for example, they did not include subjects such as measures of association, models for measuring change, ordinal data, incomplete and missing data, and the analysis of panel or repeated measurement data.

Chapter 2, on univariate discrete responses, is an exceptional chapter and presents the most thorough discussion of the binomial, multinomial, and Poisson distributions of all such chapters or appendixes that appear on this topic in other similar textbooks. In fact, I would recommend this chapter be assigned in lieu of the usual chapter on these three distributions that appears in texts used in graduate courses in mathematical statistics. Many frequentists would not agree with this suggestion because the material is heavily Bayesian. One does not have to be an entrenched Bayesian however, to appreciate the contribution this chapter makes to the graduate teaching of inferential statistics. In fact, as will be pointed out, the reader will find here many current ideas and procedures important to general statistical theory and methodology. As an illustration, consider the discussion of the multinomial. This distribution receives the greatest attention since the topics in multivariate discrete data analysis are greatly dependent on the multinomial or product multinomial. Four areas are discussed (the same areas are discussed for the Poisson but only the first two for the binomial). First, the authors discuss point estimation of the probability vector p. They first derive the MLE of p and give its optimally properties. Then, there is a discussion of loss functions--squared error loss (SEL), relative squared error loss (RSEL), and entropy loss--followed by a listing of some properties of each. Entropy loss, derived from the Kullback--Liebler distance function between two multinomial probability functions, is presented as representative of loss functions that distinguish between positive and zero estimates of [p.sub.i]([p.sub.i] < 0). The behavior of the MLE is then examined with respect to SEL and RSEL. …

If you are trying to select text to create highlights or citations, remember that you must now click or tap on the first word, and then click or tap on the last word.
One moment ...
Default project is now your active project.
Project items

Highlights (0)
Some of your highlights are legacy items.
Citations (0)
Some of your citations are legacy items.
Notes (0)
Bookmarks (0)

Project items include:
• Saved book/article
• Highlights
• Quotes/citations
• Notes
• Bookmarks
Notes

Cited article

Style
Citations are available only to our active members.

(Einhorn, 1992, p. 25)

(Einhorn 25)

1. Lois J. Einhorn, Abraham Lincoln, the Orator: Penetrating the Lincoln Legend (Westport, CT: Greenwood Press, 1992), 25, http://www.questia.com/read/27419298.

Cited article

The Statistical Analysis of Discrete Data
Settings

Settings

Typeface
Text size Reset View mode
Search within

Look up

Look up a word

• Dictionary
• Thesaurus
Please submit a word or phrase above.

Why can't I print more than one page at a time?

Help
Full screen

How to highlight and cite specific passages

1. Click or tap the first word you want to select.
2. Click or tap the last word you want to select, and you’ll see everything in between get selected.
3. You’ll then get a menu of options like creating a highlight or a citation from that passage of text.

Cited passage

Style
Citations are available only to our active members.

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences." (Einhorn, 1992, p. 25).

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences." (Einhorn 25)

"Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences."1

1. Lois J. Einhorn, Abraham Lincoln, the Orator: Penetrating the Lincoln Legend (Westport, CT: Greenwood Press, 1992), 25, http://www.questia.com/read/27419298.

Thanks for trying Questia!

Please continue trying out our research tools, but please note, full functionality is available only to our active members.

Your work will be lost once you leave this Web page.