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Measures of Association for Cross Classifications

Author: Leo A Goodman; William H Kruskal
Publisher: New York, NY : Springer New York, 1979.
Series: Springer series in statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
In 1954, prior to the era of modem high speed computers, Leo A. Goodman and William H. Kruskal published the fmt of a series of four landmark papers on measures of association for cross classifications. By describing each of several cross classifications using one or more interpretable measures, they aimed to guide other investigators in the use of sensible data summaries. Because of their clarity of exposition, and  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Leo A Goodman; William H Kruskal
ISBN: 9781461299950 1461299950
OCLC Number: 852792738
Description: 1 online resource (146 pages).
Contents: Measures of Association for Cross Classifications --
1. Introduction --
2. Four Preliminary Considerations --
3. Conventions --
4. Traditional Measures --
5. Measures Based on Optimal Prediction --
6. Measures Based upon Optimal Prediction of Order --
7. The Generation of Measures by the Introduction of Loss Functions --
8. Reliability Models --
9. Proportional Prediction --
10. Association with a Particular Category --
11. Partial Association --
12. Multiple Association --
13. Sampling Problems --
14. Concluding Remarks --
15. References --
Measures of Association for Cross Classifications. II: Further Discussion and References --
1. Introduction and Summary --
2. Supplementary Discussion to Prior Paper --
3. Work on Measures of Association in the Late Nineteenth and Early Twentieth Centuries --
4. More Recent Publications --
5. References --
Measures of Association for Cross Classifications III: Approximate Sampling Theory --
1. Introduction and Summary --
2. Notation and Preliminaries --
3. Multinominal Sampling over the Whole Double Polytomy --
4. Multinomial Sampling within Each Row (Column) of the Double Polytomy --
5. Further Remarks --
6. References --
Measures of Association for Cross Classifications IV: Simplification of Asymptotic Variances --
1. Introduction and Summary --
2. Multinomial Sampling over the Entire Two-Way Cross Classification --
3. Independent Multinomial Sampling in the Rows --
4. Use of the Results in Practice --
5. When Does?= 0? --
6. Cautionary Note about Asymptotic Variances --
References.
Series Title: Springer series in statistics.
Responsibility: by Leo A. Goodman, William H. Kruskal.

Abstract:

Kruskal published the fmt of a series of four landmark papers on measures of association for cross classifications. Only by the thoughtful choice of a measure of association can one hope to lose only  Read more...

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