{"id":654,"date":"2017-09-28T08:23:21","date_gmt":"2017-09-28T08:23:21","guid":{"rendered":"http:\/\/jsr.isrt.ac.bd\/?post_type=article&p=654"},"modified":"2017-09-28T08:24:18","modified_gmt":"2017-09-28T08:24:18","slug":"improved-estimators-logistic-regression-model","status":"publish","type":"article","link":"http:\/\/jsr.isrt.ac.bd\/article\/improved-estimators-logistic-regression-model\/","title":{"rendered":"Some improved estimators in logistic regression model"},"content":{"rendered":"

The problem of estimating the parameters of logistic regression model is considered
\nwhen it is known from extraneous sources that the \"\textit {uncertain prior information}H_0:\\beta_0=\\ldots, =\\beta_{k-1}=\\beta^0\"(pivot) mayk\u00a0 \\geq 3\", we should use the SE or SE+ and for\"k \\leq 2$ it is advisable to use the
\npreliminary test estimator (PTE).<\/p>\n

Fulltext<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The problem of estimating the parameters of logistic regression model is considered when it is known from extraneous sources that the H_0:\\beta_0=\\ldots, =\\beta_{k-1}=\\beta^0k\u00a0 \\geq 3k \\leq 2$ it is advisable to use the preliminary test estimator (PTE). Fulltext<\/p>\n","protected":false},"author":2,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"issuem_issue":[21],"issuem_issue_categories":[],"issuem_issue_tags":[],"yoast_head":"\nSome improved estimators in logistic regression model - JSR<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jsr.isrt.ac.bd\/article\/improved-estimators-logistic-regression-model\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Some improved estimators in logistic regression model - JSR\" \/>\n<meta property=\"og:description\" content=\"The problem of estimating the parameters of logistic regression model is considered when it is known from extraneous sources that the H_0:beta_0=ldots, =beta_{k-1}=beta^0k\u00a0 geq 3k leq 2$ it is advisable to use the preliminary test estimator (PTE). 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