A test for choice between hyperbolic and Sigmoidal models of crop yield response to weed density
The form of a crop yield-weed density response function influences control thresholds and risk management strategies. A choice of model test is introduced for evaluating whether yield response to weed density is sigmoidal or hyperbolic. A null hypothesis of hyperbolic yield response is evaluated in...
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Veröffentlicht in: | Journal of agricultural, biological, and environmental statistics biological, and environmental statistics, 1996-03, Vol.1 (1), p.97-106 |
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container_title | Journal of agricultural, biological, and environmental statistics |
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creator | Swinton, S.M. (Michigan State University, East Lansing, MI.) Lyford, C.P |
description | The form of a crop yield-weed density response function influences control thresholds and risk management strategies. A choice of model test is introduced for evaluating whether yield response to weed density is sigmoidal or hyperbolic. A null hypothesis of hyperbolic yield response is evaluated in a Monte Carlo simulation of sigmoidal yield functions. The analysis considers two probability distributions of weed density and varying degrees of functional curvature, data variability, and sample size. The results suggest that, given empirical levels of functional curvature and data variability, sample sizes larger than the norm in weed science are required to reject the null hypothesis of hyperbolic response. |
doi_str_mv | 10.2307/1400562 |
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The results suggest that, given empirical levels of functional curvature and data variability, sample sizes larger than the norm in weed science are required to reject the null hypothesis of hyperbolic response.</description><identifier>ISSN: 1085-7117</identifier><identifier>EISSN: 1537-2693</identifier><identifier>DOI: 10.2307/1400562</identifier><language>eng</language><publisher>American Statistical Association and the International Biometric Society</publisher><subject>Agricultural economics ; Crop density ; CROP YIELD ; Curvature ; DECISION MAKING ; DESHERBAGE ; ESCARDA ; Mathematical independent variables ; METHODE STATISTIQUE ; METODOS ESTADISTICOS ; MONTE CARLO METHOD ; Null hypothesis ; Parametric models ; PRISE DE DECISION ; RENDEMENT ; RENDEMENT DES CULTURES ; RENDIMIENTO ; RENDIMIENTO DE CULTIVOS ; Sample size ; Soybeans ; STATISTICAL METHODS ; TOMA DE DECISIONES ; WEED CONTROL ; Weeds ; YIELD RESPONSE FUNCTIONS ; YIELDS</subject><ispartof>Journal of agricultural, biological, and environmental statistics, 1996-03, Vol.1 (1), p.97-106</ispartof><rights>Copyright 1996 American Statistical Association and the International Biometric Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c178t-5dc339f5882b155bb6a994d35c21b72ead5d019826800b7d96a71ea82c9a9c2c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/1400562$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/1400562$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,828,27901,27902,57992,57996,58225,58229</link.rule.ids></links><search><creatorcontrib>Swinton, S.M. (Michigan State University, East Lansing, MI.)</creatorcontrib><creatorcontrib>Lyford, C.P</creatorcontrib><title>A test for choice between hyperbolic and Sigmoidal models of crop yield response to weed density</title><title>Journal of agricultural, biological, and environmental statistics</title><description>The form of a crop yield-weed density response function influences control thresholds and risk management strategies. A choice of model test is introduced for evaluating whether yield response to weed density is sigmoidal or hyperbolic. A null hypothesis of hyperbolic yield response is evaluated in a Monte Carlo simulation of sigmoidal yield functions. The analysis considers two probability distributions of weed density and varying degrees of functional curvature, data variability, and sample size. The results suggest that, given empirical levels of functional curvature and data variability, sample sizes larger than the norm in weed science are required to reject the null hypothesis of hyperbolic response.</description><subject>Agricultural economics</subject><subject>Crop density</subject><subject>CROP YIELD</subject><subject>Curvature</subject><subject>DECISION MAKING</subject><subject>DESHERBAGE</subject><subject>ESCARDA</subject><subject>Mathematical independent variables</subject><subject>METHODE STATISTIQUE</subject><subject>METODOS ESTADISTICOS</subject><subject>MONTE CARLO METHOD</subject><subject>Null hypothesis</subject><subject>Parametric models</subject><subject>PRISE DE DECISION</subject><subject>RENDEMENT</subject><subject>RENDEMENT DES CULTURES</subject><subject>RENDIMIENTO</subject><subject>RENDIMIENTO DE CULTIVOS</subject><subject>Sample size</subject><subject>Soybeans</subject><subject>STATISTICAL METHODS</subject><subject>TOMA DE DECISIONES</subject><subject>WEED CONTROL</subject><subject>Weeds</subject><subject>YIELD RESPONSE FUNCTIONS</subject><subject>YIELDS</subject><issn>1085-7117</issn><issn>1537-2693</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNpFkM1Lw0AUxBdRsFbxLh7ezVN0P7LZ7LEUv6DgofYcN7sv7ZY0G3YDkv_eSIue3sD8ZngMIbeMPnJB1RPLKZUFPyMzJoXKeKHF-aRpKTPFmLokVyntKWWioHxGvhYwYBqgCRHsLniLUOPwjdjBbuwx1qH1FkznYO23h-CdaeEQHLYJQgM2hh5Gj62DiKkPXUIYAkxxBw675Ifxmlw0pk14c7pzsnl5_ly-ZauP1_flYpVZpsohk84KoRtZlrxmUtZ1YbTOnZCWs1pxNE46ynTJi5LSWjldGMXQlNxqoy23Yk4ejr3TTylFbKo--oOJY8Vo9TtMdRpmIu-P5D4NIf5jf_bd0W5MqMw2-lRt1lrlknIhfgCME2a-</recordid><startdate>19960301</startdate><enddate>19960301</enddate><creator>Swinton, S.M. (Michigan State University, East Lansing, MI.)</creator><creator>Lyford, C.P</creator><general>American Statistical Association and the International Biometric Society</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19960301</creationdate><title>A test for choice between hyperbolic and Sigmoidal models of crop yield response to weed density</title><author>Swinton, S.M. (Michigan State University, East Lansing, MI.) ; Lyford, C.P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c178t-5dc339f5882b155bb6a994d35c21b72ead5d019826800b7d96a71ea82c9a9c2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Agricultural economics</topic><topic>Crop density</topic><topic>CROP YIELD</topic><topic>Curvature</topic><topic>DECISION MAKING</topic><topic>DESHERBAGE</topic><topic>ESCARDA</topic><topic>Mathematical independent variables</topic><topic>METHODE STATISTIQUE</topic><topic>METODOS ESTADISTICOS</topic><topic>MONTE CARLO METHOD</topic><topic>Null hypothesis</topic><topic>Parametric models</topic><topic>PRISE DE DECISION</topic><topic>RENDEMENT</topic><topic>RENDEMENT DES CULTURES</topic><topic>RENDIMIENTO</topic><topic>RENDIMIENTO DE CULTIVOS</topic><topic>Sample size</topic><topic>Soybeans</topic><topic>STATISTICAL METHODS</topic><topic>TOMA DE DECISIONES</topic><topic>WEED CONTROL</topic><topic>Weeds</topic><topic>YIELD RESPONSE FUNCTIONS</topic><topic>YIELDS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Swinton, S.M. (Michigan State University, East Lansing, MI.)</creatorcontrib><creatorcontrib>Lyford, C.P</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><jtitle>Journal of agricultural, biological, and environmental statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Swinton, S.M. (Michigan State University, East Lansing, MI.)</au><au>Lyford, C.P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A test for choice between hyperbolic and Sigmoidal models of crop yield response to weed density</atitle><jtitle>Journal of agricultural, biological, and environmental statistics</jtitle><date>1996-03-01</date><risdate>1996</risdate><volume>1</volume><issue>1</issue><spage>97</spage><epage>106</epage><pages>97-106</pages><issn>1085-7117</issn><eissn>1537-2693</eissn><abstract>The form of a crop yield-weed density response function influences control thresholds and risk management strategies. A choice of model test is introduced for evaluating whether yield response to weed density is sigmoidal or hyperbolic. A null hypothesis of hyperbolic yield response is evaluated in a Monte Carlo simulation of sigmoidal yield functions. The analysis considers two probability distributions of weed density and varying degrees of functional curvature, data variability, and sample size. The results suggest that, given empirical levels of functional curvature and data variability, sample sizes larger than the norm in weed science are required to reject the null hypothesis of hyperbolic response.</abstract><pub>American Statistical Association and the International Biometric Society</pub><doi>10.2307/1400562</doi><tpages>10</tpages></addata></record> |
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issn | 1085-7117 1537-2693 |
language | eng |
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source | Jstor Complete Legacy; JSTOR Mathematics & Statistics |
subjects | Agricultural economics Crop density CROP YIELD Curvature DECISION MAKING DESHERBAGE ESCARDA Mathematical independent variables METHODE STATISTIQUE METODOS ESTADISTICOS MONTE CARLO METHOD Null hypothesis Parametric models PRISE DE DECISION RENDEMENT RENDEMENT DES CULTURES RENDIMIENTO RENDIMIENTO DE CULTIVOS Sample size Soybeans STATISTICAL METHODS TOMA DE DECISIONES WEED CONTROL Weeds YIELD RESPONSE FUNCTIONS YIELDS |
title | A test for choice between hyperbolic and Sigmoidal models of crop yield response to weed density |
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