Loading…
Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution
We present two everyday applications of a new bivariate beta-binomial distribution. Although the applications are familiar, they share unique characteristics that cannot be handled adequately by existing bivariate discrete distributions. These features are high levels of between- and within-trial co...
Saved in:
Published in: | The American statistician 2005-11, Vol.59 (4), p.282-286 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites 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-c417t-954dbe21794a361680f1e8225a1455ba62719966ba81c9d775baff36e6f95cbc3 |
---|---|
cites | cdi_FETCH-LOGICAL-c417t-954dbe21794a361680f1e8225a1455ba62719966ba81c9d775baff36e6f95cbc3 |
container_end_page | 286 |
container_issue | 4 |
container_start_page | 282 |
container_title | The American statistician |
container_volume | 59 |
creator | Danaher, Peter J Hardie, Bruce G. S |
description | We present two everyday applications of a new bivariate beta-binomial distribution. Although the applications are familiar, they share unique characteristics that cannot be handled adequately by existing bivariate discrete distributions. These features are high levels of between- and within-trial correlation for the bivariate random variables. Our model is derived from a broad class of bivariate models based on a versatile, but little-known, family of distributions due to Sarmanov. For the applications presented, we show that our model fits observed data very well. In addition, for the bacon and eggs application, the model can be used to help improve the management of inventory in grocery stores. |
doi_str_mv | 10.1198/000313005X70939 |
format | article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_228485566</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>27643695</jstor_id><sourcerecordid>27643695</sourcerecordid><originalsourceid>FETCH-LOGICAL-c417t-954dbe21794a361680f1e8225a1455ba62719966ba81c9d775baff36e6f95cbc3</originalsourceid><addsrcrecordid>eNp1kE1LJDEQhoMoOH6cPQlhwWNrPjpJx4s4rrsriHpQ1FNTnUk0Q09nNsko_nszjO6C4KlIPU-9KQqhPUoOKdXNESGEU06IeFBEc72GRlRwVTHF6ToaLWlVsNhEWylNy5MoyUboZgwmDPje52f8GBYRnz89pRN8Op_33kD2YUg4OAz4yr7isX-B6CFbPLYZqrEfwsxDj3_6lKPvFkt9B2046JPd_ajb6O7X-e3Zn-ry-vfF2ellZWqqcqVFPekso0rXwCWVDXHUNowJoLUQHUimqNZSdtBQoydKlZ5zXFrptDCd4dvoxyp3HsPfhU25nZb1h_Jly1hTN0JIWaSjlWRiSCla186jn0F8aylpl1drv1ytTBx8xEIy0LsIg_Hp_5hihDeqLt7-ypumHOI_zpSsudSi8OMV94MLcQavIfaTNsNbH-JnKP9uiXeK9YZ3</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>228485566</pqid></control><display><type>article</type><title>Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution</title><source>ABI/INFORM Global (ProQuest)</source><source>Taylor and Francis Science and Technology Collection</source><source>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</source><source>JSTOR</source><creator>Danaher, Peter J ; Hardie, Bruce G. S</creator><creatorcontrib>Danaher, Peter J ; Hardie, Bruce G. S</creatorcontrib><description>We present two everyday applications of a new bivariate beta-binomial distribution. Although the applications are familiar, they share unique characteristics that cannot be handled adequately by existing bivariate discrete distributions. These features are high levels of between- and within-trial correlation for the bivariate random variables. Our model is derived from a broad class of bivariate models based on a versatile, but little-known, family of distributions due to Sarmanov. For the applications presented, we show that our model fits observed data very well. In addition, for the bacon and eggs application, the model can be used to help improve the management of inventory in grocery stores.</description><identifier>ISSN: 0003-1305</identifier><identifier>EISSN: 1537-2731</identifier><identifier>DOI: 10.1198/000313005X70939</identifier><identifier>CODEN: ASTAAJ</identifier><language>eng</language><publisher>Alexandria, VA: Taylor & Francis</publisher><subject>Beta-binomial ; Binomial distribution ; Binomial distributions ; Binomials ; Bivariate discrete distribution ; Correlations ; Distribution theory ; Eggs ; Exact sciences and technology ; Marketing ; Mathematics ; Maximum likelihood estimation ; Modeling ; Multivariate analysis ; Probability and statistics ; Probability theory and stochastic processes ; Random variables ; Sarmanov distribution ; Sciences and techniques of general use ; Shopping trips ; Statistical analysis ; Statistical methods ; Statistics</subject><ispartof>The American statistician, 2005-11, Vol.59 (4), p.282-286</ispartof><rights>American Statistical Association 2005</rights><rights>Copyright 2005 American Statistical Association</rights><rights>2005 INIST-CNRS</rights><rights>Copyright American Statistical Association Nov 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-954dbe21794a361680f1e8225a1455ba62719966ba81c9d775baff36e6f95cbc3</citedby><cites>FETCH-LOGICAL-c417t-954dbe21794a361680f1e8225a1455ba62719966ba81c9d775baff36e6f95cbc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/228485566/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/228485566?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,21394,27924,27925,33611,36060,43733,44363,58238,58471,74093,74767</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17203874$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Danaher, Peter J</creatorcontrib><creatorcontrib>Hardie, Bruce G. S</creatorcontrib><title>Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution</title><title>The American statistician</title><description>We present two everyday applications of a new bivariate beta-binomial distribution. Although the applications are familiar, they share unique characteristics that cannot be handled adequately by existing bivariate discrete distributions. These features are high levels of between- and within-trial correlation for the bivariate random variables. Our model is derived from a broad class of bivariate models based on a versatile, but little-known, family of distributions due to Sarmanov. For the applications presented, we show that our model fits observed data very well. In addition, for the bacon and eggs application, the model can be used to help improve the management of inventory in grocery stores.</description><subject>Beta-binomial</subject><subject>Binomial distribution</subject><subject>Binomial distributions</subject><subject>Binomials</subject><subject>Bivariate discrete distribution</subject><subject>Correlations</subject><subject>Distribution theory</subject><subject>Eggs</subject><subject>Exact sciences and technology</subject><subject>Marketing</subject><subject>Mathematics</subject><subject>Maximum likelihood estimation</subject><subject>Modeling</subject><subject>Multivariate analysis</subject><subject>Probability and statistics</subject><subject>Probability theory and stochastic processes</subject><subject>Random variables</subject><subject>Sarmanov distribution</subject><subject>Sciences and techniques of general use</subject><subject>Shopping trips</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><issn>0003-1305</issn><issn>1537-2731</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>M0C</sourceid><sourceid>M2R</sourceid><recordid>eNp1kE1LJDEQhoMoOH6cPQlhwWNrPjpJx4s4rrsriHpQ1FNTnUk0Q09nNsko_nszjO6C4KlIPU-9KQqhPUoOKdXNESGEU06IeFBEc72GRlRwVTHF6ToaLWlVsNhEWylNy5MoyUboZgwmDPje52f8GBYRnz89pRN8Op_33kD2YUg4OAz4yr7isX-B6CFbPLYZqrEfwsxDj3_6lKPvFkt9B2046JPd_ajb6O7X-e3Zn-ry-vfF2ellZWqqcqVFPekso0rXwCWVDXHUNowJoLUQHUimqNZSdtBQoydKlZ5zXFrptDCd4dvoxyp3HsPfhU25nZb1h_Jly1hTN0JIWaSjlWRiSCla186jn0F8aylpl1drv1ytTBx8xEIy0LsIg_Hp_5hihDeqLt7-ypumHOI_zpSsudSi8OMV94MLcQavIfaTNsNbH-JnKP9uiXeK9YZ3</recordid><startdate>20051101</startdate><enddate>20051101</enddate><creator>Danaher, Peter J</creator><creator>Hardie, Bruce G. S</creator><general>Taylor & Francis</general><general>American Statistical Association</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88F</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0R</scope><scope>M0T</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20051101</creationdate><title>Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution</title><author>Danaher, Peter J ; Hardie, Bruce G. S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-954dbe21794a361680f1e8225a1455ba62719966ba81c9d775baff36e6f95cbc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Beta-binomial</topic><topic>Binomial distribution</topic><topic>Binomial distributions</topic><topic>Binomials</topic><topic>Bivariate discrete distribution</topic><topic>Correlations</topic><topic>Distribution theory</topic><topic>Eggs</topic><topic>Exact sciences and technology</topic><topic>Marketing</topic><topic>Mathematics</topic><topic>Maximum likelihood estimation</topic><topic>Modeling</topic><topic>Multivariate analysis</topic><topic>Probability and statistics</topic><topic>Probability theory and stochastic processes</topic><topic>Random variables</topic><topic>Sarmanov distribution</topic><topic>Sciences and techniques of general use</topic><topic>Shopping trips</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Danaher, Peter J</creatorcontrib><creatorcontrib>Hardie, Bruce G. S</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>ProQuest Consumer Health Database</collection><collection>ProQuest Healthcare Administration Database</collection><collection>ProQuest Military Database</collection><collection>ProQuest Research Library</collection><collection>ProQuest Science Journals</collection><collection>Social Science Database (ProQuest)</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>The American statistician</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Danaher, Peter J</au><au>Hardie, Bruce G. S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution</atitle><jtitle>The American statistician</jtitle><date>2005-11-01</date><risdate>2005</risdate><volume>59</volume><issue>4</issue><spage>282</spage><epage>286</epage><pages>282-286</pages><issn>0003-1305</issn><eissn>1537-2731</eissn><coden>ASTAAJ</coden><abstract>We present two everyday applications of a new bivariate beta-binomial distribution. Although the applications are familiar, they share unique characteristics that cannot be handled adequately by existing bivariate discrete distributions. These features are high levels of between- and within-trial correlation for the bivariate random variables. Our model is derived from a broad class of bivariate models based on a versatile, but little-known, family of distributions due to Sarmanov. For the applications presented, we show that our model fits observed data very well. In addition, for the bacon and eggs application, the model can be used to help improve the management of inventory in grocery stores.</abstract><cop>Alexandria, VA</cop><pub>Taylor & Francis</pub><doi>10.1198/000313005X70939</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0003-1305 |
ispartof | The American statistician, 2005-11, Vol.59 (4), p.282-286 |
issn | 0003-1305 1537-2731 |
language | eng |
recordid | cdi_proquest_journals_228485566 |
source | ABI/INFORM Global (ProQuest); Taylor and Francis Science and Technology Collection; Social Science Premium Collection (Proquest) (PQ_SDU_P3); JSTOR |
subjects | Beta-binomial Binomial distribution Binomial distributions Binomials Bivariate discrete distribution Correlations Distribution theory Eggs Exact sciences and technology Marketing Mathematics Maximum likelihood estimation Modeling Multivariate analysis Probability and statistics Probability theory and stochastic processes Random variables Sarmanov distribution Sciences and techniques of general use Shopping trips Statistical analysis Statistical methods Statistics |
title | Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T16%3A56%3A45IST&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=Bacon%20With%20Your%20Eggs?%20Applications%20of%20a%20New%20Bivariate%20Beta-Binomial%20Distribution&rft.jtitle=The%20American%20statistician&rft.au=Danaher,%20Peter%20J&rft.date=2005-11-01&rft.volume=59&rft.issue=4&rft.spage=282&rft.epage=286&rft.pages=282-286&rft.issn=0003-1305&rft.eissn=1537-2731&rft.coden=ASTAAJ&rft_id=info:doi/10.1198/000313005X70939&rft_dat=%3Cjstor_proqu%3E27643695%3C/jstor_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c417t-954dbe21794a361680f1e8225a1455ba62719966ba81c9d775baff36e6f95cbc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=228485566&rft_id=info:pmid/&rft_jstor_id=27643695&rfr_iscdi=true |