Using the semivariance to estimate safety-first rules
Extract: Given only knowledge of a finite mean, variance, and semivariance, it is shown that a Chebychev-type inequality based on the semivariance gives the smallest upper bound on the probability of being k standard deviations below the mean. Three examples are considered for agricultural yield and...
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| Veröffentlicht in: | American journal of agricultural economics 1982-05, Vol.64 (2), p.298-300 |
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| container_end_page | 300 |
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| container_issue | 2 |
| container_start_page | 298 |
| container_title | American journal of agricultural economics |
| container_volume | 64 |
| creator | Berck, P Hihn, J.M |
| description | Extract: Given only knowledge of a finite mean, variance, and semivariance, it is shown that a Chebychev-type inequality based on the semivariance gives the smallest upper bound on the probability of being k standard deviations below the mean. Three examples are considered for agricultural yield and revenue data for the United States and the Philippines. Comparisons are made to upper bounds derived from both the standard Chebychev inequality and the standard Chebychev inequality and the assumption of symmetry. |
| doi_str_mv | 10.2307/1241139 |
| format | Article |
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Three examples are considered for agricultural yield and revenue data for the United States and the Philippines. Comparisons are made to upper bounds derived from both the standard Chebychev inequality and the standard Chebychev inequality and the assumption of symmetry.</description><identifier>ISSN: 0002-9092</identifier><identifier>EISSN: 1467-8276</identifier><identifier>DOI: 10.2307/1241139</identifier><language>eng</language><publisher>Menasha, Wis: Oxford University Press</publisher><subject>Crop economics ; Crops ; economic analysis ; Fertilization ; Revenue ; risk ; Standard deviation ; Statistical variance ; Subsistence farming ; Sugar beets</subject><ispartof>American journal of agricultural economics, 1982-05, Vol.64 (2), p.298-300</ispartof><rights>Copyright 1982 American Agricultural Economics Association</rights><rights>1982 Agricultural and Applied Economics Association</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3879-6d01cb4aeb62dc5b8ddd64a065c95e2a8a6e10bfee26dd8f4a098115e12f52773</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/1241139$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/1241139$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27869,27924,27925,58017,58250</link.rule.ids></links><search><creatorcontrib>Berck, P</creatorcontrib><creatorcontrib>Hihn, J.M</creatorcontrib><title>Using the semivariance to estimate safety-first rules</title><title>American journal of agricultural economics</title><addtitle>American Journal of Agricultural Economics</addtitle><description>Extract: Given only knowledge of a finite mean, variance, and semivariance, it is shown that a Chebychev-type inequality based on the semivariance gives the smallest upper bound on the probability of being k standard deviations below the mean. 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Hihn, J.M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3879-6d01cb4aeb62dc5b8ddd64a065c95e2a8a6e10bfee26dd8f4a098115e12f52773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1982</creationdate><topic>Crop economics</topic><topic>Crops</topic><topic>economic analysis</topic><topic>Fertilization</topic><topic>Revenue</topic><topic>risk</topic><topic>Standard deviation</topic><topic>Statistical variance</topic><topic>Subsistence farming</topic><topic>Sugar beets</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Berck, P</creatorcontrib><creatorcontrib>Hihn, J.M</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 03</collection><collection>Periodicals Index Online Segment 08</collection><collection>Periodicals Index Online Segment 27</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><jtitle>American journal of agricultural economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Berck, P</au><au>Hihn, J.M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using the semivariance to estimate safety-first rules</atitle><jtitle>American journal of agricultural economics</jtitle><addtitle>American Journal of Agricultural Economics</addtitle><date>1982-05</date><risdate>1982</risdate><volume>64</volume><issue>2</issue><spage>298</spage><epage>300</epage><pages>298-300</pages><issn>0002-9092</issn><eissn>1467-8276</eissn><abstract>Extract: Given only knowledge of a finite mean, variance, and semivariance, it is shown that a Chebychev-type inequality based on the semivariance gives the smallest upper bound on the probability of being k standard deviations below the mean. Three examples are considered for agricultural yield and revenue data for the United States and the Philippines. Comparisons are made to upper bounds derived from both the standard Chebychev inequality and the standard Chebychev inequality and the assumption of symmetry.</abstract><cop>Menasha, Wis</cop><pub>Oxford University Press</pub><doi>10.2307/1241139</doi><tpages>3</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0002-9092 |
| ispartof | American journal of agricultural economics, 1982-05, Vol.64 (2), p.298-300 |
| issn | 0002-9092 1467-8276 |
| language | eng |
| recordid | cdi_proquest_journals_1296587770 |
| source | Oxford University Press Journals Digital Archive Legacy; Periodicals Index Online; EBSCOhost Business Source Complete; JSTOR Archive Collection A-Z Listing; EZB-FREE-00999 freely available EZB journals |
| subjects | Crop economics Crops economic analysis Fertilization Revenue risk Standard deviation Statistical variance Subsistence farming Sugar beets |
| title | Using the semivariance to estimate safety-first rules |
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