Combining inferences on the common mean of several inverse Gaussian distributions based on confidence distribution

Statistics & Probability Letters ◽

10.1016/j.spl.2015.06.016 ◽

2015 ◽

Vol 105 ◽

pp. 136-142 ◽

Cited By ~ 4

Author(s):

Xuhua Liu ◽

Na Li ◽

Yuqin Hu

Keyword(s):

Inverse Gaussian ◽

Gaussian Distributions ◽

Common Mean ◽

Confidence Distribution ◽

The Common

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On the common mean of several inverse Gaussian distributions based on a higher order likelihood method

Applied Mathematics and Computation ◽

10.1016/j.amc.2010.12.019 ◽

2011 ◽

Vol 217 (12) ◽

pp. 5480-5490 ◽

Cited By ~ 5

Author(s):

S.H. Lin ◽

I.M. Wu

Keyword(s):

Higher Order ◽

Likelihood Method ◽

Inverse Gaussian ◽

Gaussian Distributions ◽

Common Mean ◽

The Common

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On estimating common mean of several inverse Gaussian distributions

Metrika ◽

10.1007/s00184-021-00829-y ◽

2021 ◽

Author(s):

Samadrita Bera ◽

Nabakumar Jana

Keyword(s):

Inverse Gaussian ◽

Gaussian Distributions ◽

Common Mean

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Noninformative priors for the common shape parameter of several inverse Gaussian distributions

Journal of the Korean Data and Information Science Society ◽

10.7465/jkdi.2015.26.1.243 ◽

2015 ◽

Vol 26 (1) ◽

pp. 243-253 ◽

Cited By ~ 1

Author(s):

Sang Gil Kang ◽

Dal Ho Kim ◽

Woo Dong Lee

Keyword(s):

Shape Parameter ◽

Inverse Gaussian ◽

Gaussian Distributions ◽

Noninformative Priors ◽

The Common ◽

Common Shape

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Inferences on the common mean of several inverse Gaussian populations

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2009.09.039 ◽

2010 ◽

Vol 54 (4) ◽

pp. 906-915 ◽

Cited By ~ 23

Author(s):

Ren-Dao Ye ◽

Tie-Feng Ma ◽

Song-Gui Wang

Keyword(s):

Inverse Gaussian ◽

Common Mean ◽

The Common

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Unbiased estimation of the common mean of a multivariate normal distribution

Communication in Statistics- Theory and Methods ◽

10.1080/03610929008830291 ◽

1990 ◽

Vol 19 (5) ◽

pp. 1803-1810 ◽

Cited By ~ 2

Author(s):

K. Krishnamoorthy ◽

Vijay K. Rohatgi

Keyword(s):

Normal Distribution ◽

Multivariate Normal Distribution ◽

Unbiased Estimation ◽

Multivariate Normal ◽

Common Mean ◽

The Common

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A note on estimating the common mean of k normal distributions and the stein problem

Communication in Statistics- Theory and Methods ◽

10.1080/03610927808827724 ◽

1978 ◽

Vol 7 (15) ◽

pp. 1421-1432 ◽

Cited By ~ 23

Author(s):

N. Shinozaki

Keyword(s):

Normal Distributions ◽

Common Mean ◽

The Common

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Inference about the shape parameters of several inverse Gaussian distributions: testing equality and confidence interval for a common value

Metrika ◽

10.1007/s00184-018-0693-9 ◽

2018 ◽

Vol 82 (5) ◽

pp. 529-545

Author(s):

Mohammad Reza Kazemi ◽

Ali Akbar Jafari

Keyword(s):

Confidence Interval ◽

Inverse Gaussian ◽

Shape Parameters ◽

Gaussian Distributions ◽

Common Value

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A SIMPLE CONFIDENCE INTERVAL FOR THE COMMON MEAN

Series on Advances in Mathematics for Applied Sciences - Advanced Mathematical and Computational Tools in Metrology and Testing IX ◽

10.1142/9789814397957_0002 ◽

2012 ◽

pp. 13-17 ◽

Cited By ~ 2

Author(s):

B. ARENDACKÁ

Keyword(s):

Confidence Interval ◽

Common Mean ◽

The Common

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Inverse Gaussian and generalized inverse Gaussian distributions

Level-Crossing Problems and Inverse Gaussian Distributions ◽

10.1201/9781003157618-2 ◽

2021 ◽

pp. 21-50

Author(s):

Vsevolod K. Malinovskii

Keyword(s):

Generalized Inverse ◽

Inverse Gaussian ◽

Gaussian Distributions ◽

Generalized Inverse Gaussian ◽

Generalized Inverse Gaussian Distributions

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Estimation of the Common Mean of Two Normal Populations Using Two Stage Sampling

Calcutta Statistical Association Bulletin ◽

10.1177/0008068319980107 ◽

1998 ◽

Vol 48 (1-2) ◽

pp. 73-82

Author(s):

Moloy De ◽

Jyotirmoy Sarkar

Keyword(s):

Sampling Scheme ◽

Two Stage ◽

Unequal Variances ◽

Common Mean ◽

Normal Populations ◽

The Common

We exhibit the superiority of the Graybill- Deal estimator for estimating the common mean of two univariate normal populations with unequal variances, under a two stage sampling scheme. Some properties of the two-stage Graybill-Deal estimator are discussed.

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