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Generalized Procedures for Testing Hypotheses about Survival or Recovery Rates
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 Chisquare statistic that addresses an unambiguous null hypothesis of homogeneity among several surviva...
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Published in: | The Journal of wildlife management 1989-01, Vol.53 (1), p.137-142 |
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container_end_page | 142 |
container_issue | 1 |
container_start_page | 137 |
container_title | The Journal of wildlife management |
container_volume | 53 |
creator | Sauer, John R. Williams, Byron K. |
description | 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 Chisquare 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. |
doi_str_mv | 10.2307/3801320 |
format | article |
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Psychology</subject><subject>General aspects</subject><subject>Null hypothesis</subject><subject>Standard error</subject><subject>Statistical discrepancies</subject><subject>Statistics</subject><subject>Survival rates</subject><subject>Wildlife management</subject><subject>Wildlife population estimation</subject><issn>0022-541X</issn><issn>1937-2817</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><recordid>eNp10NtKAzEQBuAgCtYqvsIiolerOWwOvZSirVBUagXvljSZ6Jbtpia7hfr0RloUBJmLgeHjZ_gROiX4ijIsr5nChFG8h3pkwGROFZH7qIcxpTkvyOshOopxgTEjRIkeehhBA0HX1SfY7Cl4A7YLEDPnQzaD2FbNWzberHz7DjGd9dx3bfbchXW11nWW0BSMX0PYZFPdQjxGB07XEU52u49e7m5nw3E-eRzdD28muaGStDmXYIilFhspneTCEAlpMDgBUihtrHZKFdZQYYpirjibFwDaKkk5txyzPrrY5q6C_-jSn-WyigbqWjfgu1gSTomUQiR49gcufBea9FtJWUHpgKW2-uhyi0zwMQZw5SpUSx02JcHld6nlrtQkz3dxOhpdu6AbU8UfLgZCUCp_2SK2Pvyb9gUAkYDR</recordid><startdate>19890101</startdate><enddate>19890101</enddate><creator>Sauer, John R.</creator><creator>Williams, Byron K.</creator><general>The Wildlife Society</general><general>Wildlife Society</general><general>Blackwell Publishing Ltd</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7U6</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope></search><sort><creationdate>19890101</creationdate><title>Generalized Procedures for Testing Hypotheses about Survival or Recovery Rates</title><author>Sauer, John R. ; Williams, Byron K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c271t-57ec1d2d0c77f756c17e7e70ef6e768acdaf884dc26c44b853b4eead87255d503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Biology</topic><topic>Covariance matrices</topic><topic>Datasets</topic><topic>Degrees of freedom</topic><topic>Demecology</topic><topic>Estimation methods</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Null hypothesis</topic><topic>Standard error</topic><topic>Statistical discrepancies</topic><topic>Statistics</topic><topic>Survival rates</topic><topic>Wildlife management</topic><topic>Wildlife population estimation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sauer, John R.</creatorcontrib><creatorcontrib>Williams, Byron K.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Sustainability Science Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>The Journal of wildlife management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sauer, John R.</au><au>Williams, Byron K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Generalized Procedures for Testing Hypotheses about Survival or Recovery Rates</atitle><jtitle>The Journal of wildlife management</jtitle><date>1989-01-01</date><risdate>1989</risdate><volume>53</volume><issue>1</issue><spage>137</spage><epage>142</epage><pages>137-142</pages><issn>0022-541X</issn><eissn>1937-2817</eissn><coden>JWMAA9</coden><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 Chisquare 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.</abstract><cop>Bethesda, MD</cop><pub>The Wildlife Society</pub><doi>10.2307/3801320</doi><tpages>6</tpages></addata></record> |
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ispartof | The Journal of wildlife management, 1989-01, Vol.53 (1), p.137-142 |
issn | 0022-541X 1937-2817 |
language | eng |
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source | JSTOR Archival Journals and Primary Sources Collection |
subjects | Animal and plant ecology Animal, plant and microbial ecology Biological and medical sciences Biology Covariance matrices Datasets Degrees of freedom Demecology Estimation methods Fundamental and applied biological sciences. Psychology General aspects Null hypothesis Standard error Statistical discrepancies Statistics Survival rates Wildlife management Wildlife population estimation |
title | Generalized Procedures for Testing Hypotheses about Survival or Recovery Rates |
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