Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with Applications

Our aim in this paper is extending the applicability domain of the Rao–Blackwell theorem, our methodology is using conditional expectation and generalizing sufficient statistics, and one result is a generalization of the Lehmann–Scheffé theorem; as a conclusion, some problems that could not be solve...

Full description

Bibliographic Details
Main Authors: Seyf Alemam, Hazhir Homei, Saralees Nadarajah
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/19/4146
_version_ 1797575555240951808
author Seyf Alemam
Hazhir Homei
Saralees Nadarajah
author_facet Seyf Alemam
Hazhir Homei
Saralees Nadarajah
author_sort Seyf Alemam
collection DOAJ
description Our aim in this paper is extending the applicability domain of the Rao–Blackwell theorem, our methodology is using conditional expectation and generalizing sufficient statistics, and one result is a generalization of the Lehmann–Scheffé theorem; as a conclusion, some problems that could not be solved by an earlier version of the Lehmann–Scheffé theorem become solvable by our new generalization.
first_indexed 2024-03-10T21:40:11Z
format Article
id doaj.art-d05f914d371a412e94b3ed2962060a4b
institution Directory Open Access Journal
issn 2227-7390
language English
last_indexed 2024-03-10T21:40:11Z
publishDate 2023-09-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj.art-d05f914d371a412e94b3ed2962060a4b2023-11-19T14:43:59ZengMDPI AGMathematics2227-73902023-09-011119414610.3390/math11194146Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with ApplicationsSeyf Alemam0Hazhir Homei1Saralees Nadarajah2Department of Statistics, University of Tabriz, P.O. Box 51666-17766, Tabriz 51666-16471, IranDepartment of Statistics, University of Tabriz, P.O. Box 51666-17766, Tabriz 51666-16471, IranDepartment of Mathematics, University of Manchester, Manchester M13 9PL, UKOur aim in this paper is extending the applicability domain of the Rao–Blackwell theorem, our methodology is using conditional expectation and generalizing sufficient statistics, and one result is a generalization of the Lehmann–Scheffé theorem; as a conclusion, some problems that could not be solved by an earlier version of the Lehmann–Scheffé theorem become solvable by our new generalization.https://www.mdpi.com/2227-7390/11/19/4146complete minimal sufficient statisticincomplete minimal sufficient statisticminimal sufficient statisticRao–Blackwell theoremsufficient statistic
spellingShingle Seyf Alemam
Hazhir Homei
Saralees Nadarajah
Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with Applications
Mathematics
complete minimal sufficient statistic
incomplete minimal sufficient statistic
minimal sufficient statistic
Rao–Blackwell theorem
sufficient statistic
title Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with Applications
title_full Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with Applications
title_fullStr Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with Applications
title_full_unstemmed Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with Applications
title_short Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with Applications
title_sort generalizations of rao blackwell and lehmann scheffe theorems with applications
topic complete minimal sufficient statistic
incomplete minimal sufficient statistic
minimal sufficient statistic
Rao–Blackwell theorem
sufficient statistic
url https://www.mdpi.com/2227-7390/11/19/4146
work_keys_str_mv AT seyfalemam generalizationsofraoblackwellandlehmannscheffetheoremswithapplications
AT hazhirhomei generalizationsofraoblackwellandlehmannscheffetheoremswithapplications
AT saraleesnadarajah generalizationsofraoblackwellandlehmannscheffetheoremswithapplications