Generalized procedures for testing hypotheses about survival or recovery rates
January 1, 1989
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.
Citation Information
Publication Year | 1989 |
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Title | Generalized procedures for testing hypotheses about survival or recovery rates |
DOI | 10.2307/3801320 |
Authors | John R. Sauer, Byron K. Williams |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Journal of Wildlife Management |
Index ID | 5223430 |
Record Source | USGS Publications Warehouse |
USGS Organization | Patuxent Wildlife Research Center |