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Generalized procedures for testing hypotheses about survival or recovery rates

Journal of Wildlife Management

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Abstract

Comparisons of survival or recovery rates from different time periods or geographic regions may be difficult to accomplish using the Z-tests suggested by Brownie et al. (1985). We propose a general Chi-square statistic that addresses an unambiguous null hypothesis of homogeneity among several survival or recovery rates. With this statistic, specific hypotheses of differences in rates can be simultaneously tested using contrasts. If necessary, a posteriori multiple comparisons can also be conducted that incorporate an adjustment for Type I error.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Generalized procedures for testing hypotheses about survival or recovery rates
Series title:
Journal of Wildlife Management
Volume
53
Issue:
1
Year Published:
1989
Language:
English
Contributing office(s):
Patuxent Wildlife Research Center
Description:
137-142
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Journal of Wildlife Management
First page:
137
Last page:
142
Number of Pages:
6