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Chisquare Tests From Clusters of Observations

✍ Scribed by Inge S. Helland

Book ID
102760428
Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
571 KB
Volume
36
Category
Article
ISSN
0323-3847

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✦ Synopsis

A simple model for categorical observations that arc correlated in clusters is developed. The implied correlation cocficient is used to define an effective number of observations, and a natural estimation p r d u r e for the correlation coefficient is proposed. By grouping the clusters of observations, and by relating them to models of the probabilities for the implied categories. common chisquare tests are formulated and motivated asymptotically. As an example of applications we look at forage registrations for radiocollared moose.

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