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Comparison of Different Methods for ...

Tang, Qi.

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Comparison of Different Methods for Estimating Log-normal Means.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Comparison of Different Methods for Estimating Log-normal Means./
Author:	Tang, Qi.
Description:	50 p.
Notes:	Source: Masters Abstracts International, Volume: 53-01.
Contained By:	Masters Abstracts International53-01(E).
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1527857
ISBN:	9781303980107

Comparison of Different Methods for Estimating Log-normal Means.
Tang, Qi.

Comparison of Different Methods for Estimating Log-normal Means. - 50 p.

Source: Masters Abstracts International, Volume: 53-01.

Thesis (M.S.)--East Tennessee State University, 2014.

The log-normal distribution is a popular model in many areas, especially in biostatistics and survival analysis where the data tend to be right skewed. In our research, a total of ten different estimators of log-normal means are compared theoretically. Simulations are done using different values of parameters and sample size. As a result of comparison, "a degree of freedom adjusted" maximum likelihood estimator and Bayesian estimator under quadratic loss are the best when using the mean square error (MSE) as a criterion. The ten estimators are applied to a real dataset, an environmental study from Naval Construction Battalion Center (NCBC), Super Fund Site in Rhode Island.

ISBN: 9781303980107Subjects--Topical Terms:

517247
Statistics.

Comparison of Different Methods for Estimating Log-normal Means.
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020 $a 9781303980107
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100 1 $a Tang, Qi. $3 2100943
245 1 0 $a Comparison of Different Methods for Estimating Log-normal Means.
300 $a 50 p.
500 $a Source: Masters Abstracts International, Volume: 53-01.
500 $a Adviser: Yali Liu.
502 $a Thesis (M.S.)--East Tennessee State University, 2014.
520 $a The log-normal distribution is a popular model in many areas, especially in biostatistics and survival analysis where the data tend to be right skewed. In our research, a total of ten different estimators of log-normal means are compared theoretically. Simulations are done using different values of parameters and sample size. As a result of comparison, "a degree of freedom adjusted" maximum likelihood estimator and Bayesian estimator under quadratic loss are the best when using the mean square error (MSE) as a criterion. The ten estimators are applied to a real dataset, an environmental study from Naval Construction Battalion Center (NCBC), Super Fund Site in Rhode Island.
590 $a School code: 0069.
650 4 $a Statistics. $3 517247
650 4 $a Mathematics. $3 515831
650 4 $a Applied Mathematics. $3 1669109
690 $a 0463
690 $a 0405
690 $a 0364
710 2 $a East Tennessee State University. $3 1017802
773 0 $t Masters Abstracts International $g 53-01(E).
790 $a 0069
791 $a M.S.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1527857