Journal of Statistical Theory and Applications

Volume 18, Issue 3, September 2019, Pages 222 - 235

Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure

Authors
Eisa Mahmoudi*, Ghahraman Roughani, Ashkan Khalifeh
Department of Statistics, Yazd University, Yazd, Iran
*Corresponding author. Email: emahmoudi@yazd.ac.ir
Corresponding Author
Eisa Mahmoudi
Received 6 November 2017, Accepted 24 May 2018, Available Online 26 August 2019.
DOI
10.2991/jsta.d.190818.005How to use a DOI?
Keywords
Bounded risk estimation; Gamma distribution; Sequential estimation; Stopping variable; Two-stage sampling; Purely sequential procedure
Abstract

We consider the purely sequential procedure for estimating the scale parameter of a gamma distribution with known shape parameter, when the risk function is bounded by the known preassigned number. In this paper, we provide asymptotic formulas for the expectation of the total sample size. Also, we propose how to adjust the stopping variable so that the risk is uniformly bounded by a known preassigned number. In the end, the performances of the proposed methodology are investigated with the help of simulations and also by using a real data set.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
18 - 3
Pages
222 - 235
Publication Date
2019/08/26
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.d.190818.005How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Eisa Mahmoudi
AU  - Ghahraman Roughani
AU  - Ashkan Khalifeh
PY  - 2019
DA  - 2019/08/26
TI  - Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure
JO  - Journal of Statistical Theory and Applications
SP  - 222
EP  - 235
VL  - 18
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.d.190818.005
DO  - 10.2991/jsta.d.190818.005
ID  - Mahmoudi2019
ER  -