{"id":1254,"date":"2006-09-22T19:40:23","date_gmt":"2006-09-22T19:40:23","guid":{"rendered":"http:\/\/jsr.isrt.ac.bd\/?p=1254"},"modified":"2023-09-22T19:44:46","modified_gmt":"2023-09-22T19:44:46","slug":"volume-40-number-1-2006","status":"publish","type":"post","link":"http:\/\/jsr.isrt.ac.bd\/volume-40-number-1-2006\/","title":{"rendered":"Volume 40 Number 1 (2006)"},"content":{"rendered":"<div>\n<div class=\"issuem_articles_shortcode\"><div class=\"issuem_article article-627\">\n<p class=\"issuem_article_category\"><\/p>\r\n<p><a class=\"issuem_article_link\" href=\"http:\/\/jsr.isrt.ac.bd\/article\/small-sample-properties-improved-estimators-logistic-regression-skew-normally-distributed-explanatory-variables\/\">Small-sample properties of some improved estimators in logistic regression with skew-normally distributed explanatory variables<\/a><\/p>\r\n<p class=\"issuem_article_byline\">By M. A. MATIN, and A. K. MD. EHSANES SALEH<\/p>\r\n\r\n\n<\/div><div class=\"issuem_article article-631\">\n<p class=\"issuem_article_category\"><\/p>\r\n<p><a class=\"issuem_article_link\" href=\"http:\/\/jsr.isrt.ac.bd\/article\/method-obtaining-distributions-transformed-random-variable-using-heaviside-dirac-generalized-functions\/\">A method of obtaining distributions of transformed random variable by using the Heaviside and the Dirac generalized functions<\/a><\/p>\r\n<p class=\"issuem_article_byline\">By Aladdin Shamilov, Ali Fuat Yuzer, Embiya Agaoglu, and Yeliz mert <\/p>\r\n\r\n\n<\/div><div class=\"issuem_article article-634\">\n<p class=\"issuem_article_category\"><\/p>\r\n<p><a class=\"issuem_article_link\" href=\"http:\/\/jsr.isrt.ac.bd\/article\/predictive-distribution-heteroscedastic-multivariate-linear-models-elliptically-contoured-error-distributions\/\">The predictive distribution for the heteroscedastic multivariate linear models with elliptically contoured error distributions<\/a><\/p>\r\n<p class=\"issuem_article_byline\">By B. M. Golam Kibria, and Saralees Nadarajah<\/p>\r\n\r\n\n<\/div><div class=\"issuem_article article-637\">\n<p class=\"issuem_article_category\"><\/p>\r\n<p><a class=\"issuem_article_link\" href=\"http:\/\/jsr.isrt.ac.bd\/article\/bayesian-inference-using-burr-model-asymmetric-loss-function-application-carcinoma-survival-data\/\">Bayesian inference using Burr model  under asymmetric loss function: an application to carcinoma survival data<\/a><\/p>\r\n<p class=\"issuem_article_byline\">By Abdus S. Wahed<\/p>\r\n\r\n\n<\/div><div class=\"issuem_article article-640\">\n<p class=\"issuem_article_category\"><\/p>\r\n<p><a class=\"issuem_article_link\" href=\"http:\/\/jsr.isrt.ac.bd\/article\/short-review-multivariate-t-distribution\/\">A short review of multivariate t-distribution<\/a><\/p>\r\n<p class=\"issuem_article_byline\">By B. M. Golam Kibria, and Anwar H Joarder<\/p>\r\n\r\n\n<\/div><div class=\"issuem_article article-643\">\n<p class=\"issuem_article_category\"><\/p>\r\n<p><a class=\"issuem_article_link\" href=\"http:\/\/jsr.isrt.ac.bd\/article\/l-divergence-consistency-discrete-prior\/\">L-divergence consistency for a discrete prior<\/a><\/p>\r\n<p class=\"issuem_article_byline\">By MARIAN GRENDAR<\/p>\r\n\r\n\n<\/div><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.7 - 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