{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T14:40:02Z","timestamp":1723128002683},"reference-count":0,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[1997,1,1]],"date-time":"1997-01-01T00:00:00Z","timestamp":852076800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Applied Mathematics and Decision Sciences"],"published-print":{"date-parts":[[1997,1,1]]},"abstract":"<jats:p>A mixed-integer programming model (MIP) incorporating prior probabilities for the two-group discriminant problem is presented. Its classificatory performance is compared against that of Fisher's linear discrimininant function (LDF) and Smith's quadradic discriminant function (QDF) for simulated data from normal and nonnormal populations for different settings of the prior probabilities of group membership. The proposed model is shown to outperform both LDF and QDF for most settings of the prior probabilities when the data are generated from nonnormal populations but underperforms the parametric models for data generated from normal populations.<\/jats:p>","DOI":"10.1155\/s1173912697000047","type":"journal-article","created":{"date-parts":[[2007,3,8]],"date-time":"2007-03-08T07:44:28Z","timestamp":1173339868000},"page":"45-51","source":"Crossref","is-referenced-by-count":1,"title":["Effect of prior probabilities on the classificatory performance of\nparametric and mathematical programming approaches to the\ntwo-group discriminant problem"],"prefix":"10.1080","volume":"1","author":[{"given":"Constantine","family":"Loucopoulos","sequence":"first","affiliation":[{"name":"Box 4023, School of Business, Emporia State University, Emporia 66801, KS, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","container-title":["Journal of Applied Mathematics and Decision Sciences"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/archive\/1997\/215180.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/1997\/215180.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T14:22:51Z","timestamp":1723126971000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/ads\/1997\/215180\/abs\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1997,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1997,1,1]]}},"alternative-id":["215180"],"URL":"https:\/\/doi.org\/10.1155\/s1173912697000047","relation":{},"ISSN":["1173-9126"],"issn-type":[{"type":"print","value":"1173-9126"}],"subject":[],"published":{"date-parts":[[1997,1,1]]}}}