Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of wildlife management 1989-01, Vol.53 (1), p.137-142
Main Authors: Sauer, John R., Williams, Byron K.
Format: Article
Language:English
Subjects:
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c271t-57ec1d2d0c77f756c17e7e70ef6e768acdaf884dc26c44b853b4eead87255d503
cites
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
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_15217766</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>3801320</jstor_id><sourcerecordid>3801320</sourcerecordid><originalsourceid>FETCH-LOGICAL-c271t-57ec1d2d0c77f756c17e7e70ef6e768acdaf884dc26c44b853b4eead87255d503</originalsourceid><addsrcrecordid>eNp10NtKAzEQBuAgCtYqvsIiolerOWwOvZSirVBUagXvljSZ6Jbtpia7hfr0RloUBJmLgeHjZ_gROiX4ijIsr5nChFG8h3pkwGROFZH7qIcxpTkvyOshOopxgTEjRIkeehhBA0HX1SfY7Cl4A7YLEDPnQzaD2FbNWzberHz7DjGd9dx3bfbchXW11nWW0BSMX0PYZFPdQjxGB07XEU52u49e7m5nw3E-eRzdD28muaGStDmXYIilFhspneTCEAlpMDgBUihtrHZKFdZQYYpirjibFwDaKkk5txyzPrrY5q6C_-jSn-WyigbqWjfgu1gSTomUQiR49gcufBea9FtJWUHpgKW2-uhyi0zwMQZw5SpUSx02JcHld6nlrtQkz3dxOhpdu6AbU8UfLgZCUCp_2SK2Pvyb9gUAkYDR</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>234229301</pqid></control><display><type>article</type><title>Generalized Procedures for Testing Hypotheses about Survival or Recovery Rates</title><source>JSTOR Archival Journals and Primary Sources Collection</source><creator>Sauer, John R. ; Williams, Byron K.</creator><creatorcontrib>Sauer, John R. ; Williams, Byron K.</creatorcontrib><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.</description><identifier>ISSN: 0022-541X</identifier><identifier>EISSN: 1937-2817</identifier><identifier>DOI: 10.2307/3801320</identifier><identifier>CODEN: JWMAA9</identifier><language>eng</language><publisher>Bethesda, MD: The Wildlife Society</publisher><subject>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</subject><ispartof>The Journal of wildlife management, 1989-01, Vol.53 (1), p.137-142</ispartof><rights>Copyright 1989 The Wildlife Society</rights><rights>1990 INIST-CNRS</rights><rights>Copyright Wildlife Society Jan 1989</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c271t-57ec1d2d0c77f756c17e7e70ef6e768acdaf884dc26c44b853b4eead87255d503</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3801320$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3801320$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,777,781,4010,27904,27905,27906,58219,58452</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=6966227$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Sauer, John R.</creatorcontrib><creatorcontrib>Williams, Byron K.</creatorcontrib><title>Generalized Procedures for Testing Hypotheses about Survival or Recovery Rates</title><title>The Journal of wildlife management</title><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.</description><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>Biology</subject><subject>Covariance matrices</subject><subject>Datasets</subject><subject>Degrees of freedom</subject><subject>Demecology</subject><subject>Estimation methods</subject><subject>Fundamental and applied biological sciences. 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>
fulltext fulltext
identifier ISSN: 0022-541X
ispartof The Journal of wildlife management, 1989-01, Vol.53 (1), p.137-142
issn 0022-541X
1937-2817
language eng
recordid cdi_proquest_miscellaneous_15217766
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T21%3A46%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Generalized%20Procedures%20for%20Testing%20Hypotheses%20about%20Survival%20or%20Recovery%20Rates&rft.jtitle=The%20Journal%20of%20wildlife%20management&rft.au=Sauer,%20John%20R.&rft.date=1989-01-01&rft.volume=53&rft.issue=1&rft.spage=137&rft.epage=142&rft.pages=137-142&rft.issn=0022-541X&rft.eissn=1937-2817&rft.coden=JWMAA9&rft_id=info:doi/10.2307/3801320&rft_dat=%3Cjstor_proqu%3E3801320%3C/jstor_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c271t-57ec1d2d0c77f756c17e7e70ef6e768acdaf884dc26c44b853b4eead87255d503%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=234229301&rft_id=info:pmid/&rft_jstor_id=3801320&rfr_iscdi=true