On Algorithm for Restricted Maximum Likelihood Estimation Under Tree Order Constraint
Publish place: Fourth International Conference on Soft Computing
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSCG04_129
تاریخ نمایه سازی: 23 اسفند 1400
Abstract:
Maximum likelihood estimation under order restrictions on parameters is of interest for various problems in statistical computing. Statisticians often incorporate restrictions by using mostly application-specific algorithms. Sometimes the devised algorithms are too complicated to implement or are inefficient in terms of time required to converge. Since it is of interesting that the estimate of means for 𝑘+۱ normal populations with unknown means μ𝑖;𝑖=۰,۱,…,𝑘 which are subject to tree order restriction, μ۰≤μ𝑖 ; for all 𝑖≥۱. Our aim in this paper is to give an iteration algorithm for obtaining the restricted maximum likelihood estimators under the tree order restriction. Some numerical results are given to illustrate how much improvement is obtained over the UMLE and RMLE estimators
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Authors
Reza Momeni
Department of statistics, University of Zabol, Iran