{"id":608,"date":"2017-09-28T05:07:44","date_gmt":"2017-09-28T05:07:44","guid":{"rendered":"http:\/\/jsr.isrt.ac.bd\/?post_type=article&p=608"},"modified":"2017-09-28T05:08:25","modified_gmt":"2017-09-28T05:08:25","slug":"unbiased-estimation-population-variance-using-midzuno-sen-type-sampling-scheme","status":"publish","type":"article","link":"http:\/\/jsr.isrt.ac.bd\/article\/unbiased-estimation-population-variance-using-midzuno-sen-type-sampling-scheme\/","title":{"rendered":"Unbiased estimation of the population variance using Midzuno-Sen type sampling scheme"},"content":{"rendered":"
We have employed ms type sampling scheme to propose two unbiased strategies
\nfor estimating the population variance. These strategies have been compared with
\ncertain known ones, and necessary and sufficient conditions have been obtained
\nfor their superior performance as compared to the known ones. An unbiased
\nvariance estimator of the population variance has also been worked out. Real-life
\ndata are shown to yield substantial gains via these strategies.<\/p>\n