Goodness-of- t test for the half logistic distribution based on multiply Type-II censored samples
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 강석복 | - |
dc.contributor.author | 조영석 | - |
dc.contributor.author | 한준태 | - |
dc.contributor.author | 사공진 | - |
dc.date.accessioned | 2021-06-23T14:04:29Z | - |
dc.date.available | 2021-06-23T14:04:29Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2010-04 | - |
dc.identifier.issn | 1598-9402 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/40337 | - |
dc.description.abstract | In this paper, we develop four modi ed empirical distribution function (EDF) type tests using approximate maximum likelihood estimators for the half-logistic distribution based on multiply Type-II censored samples. We also propose modi ed normalized sample Lorenz curve polt and new test statistics. We compare the above test statistics in the sense of the power for various censored samples. We present an example to illustrate this method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 한국데이터정보과학회 | - |
dc.title | Goodness-of- t test for the half logistic distribution based on multiply Type-II censored samples | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 사공진 | - |
dc.identifier.bibliographicCitation | 한국데이터정보과학회지, v.21, no.2, pp.317 - 325 | - |
dc.relation.isPartOf | 한국데이터정보과학회지 | - |
dc.citation.title | 한국데이터정보과학회지 | - |
dc.citation.volume | 21 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 317 | - |
dc.citation.endPage | 325 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001435035 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Approximate maximum likelihood estimator | - |
dc.subject.keywordAuthor | goodness-of-fit test | - |
dc.subject.keywordAuthor | multiply Type-II censored sample | - |
dc.subject.keywordAuthor | normalized sample Lorenz curve | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07244445 | - |
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