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    New Ridge Regression Estimator in Semiparametric Regression Models 

    Type: Journal Paper
    Author : Mahdi Roozbeh; Mohammad Arashi
    Year: 2015
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    New Ridge Regression Estimator in Semiparametric Regression Models 

    Type: Journal Paper
    Author : Mahdi Roozbeh; Mohammad Arashi
    Year: 2015
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    Shrinkage estimation in system regression model 

    Type: Journal Paper
    Author : Mohammad Arashi; Mahdi Roozbeh
    Year: 2014
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    Least-trimmed squares: asymptotic normality of robust estimator in semiparametric regression models 

    Type: Journal Paper
    Author : Mahdi Roozbeh; Mohammad Arashi
    Year: 2016
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    Developing a restricted two-parameter Liu-type estimator: A comparison of restricted estimators in the binary logistic regression model 

    Type: Journal Paper
    Author : Yasin Asar; Murat Erişoğlu; Mohammad Arashi
    Year: 2016
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    Developing a restricted two-parameter Liu-type estimator: A comparison of restricted estimators in the binary logistic regression model 

    Type: Journal Paper
    Author : Yasin Asar; Murat Erişoğlu; Mohammad Arashi
    Year: 2016
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    Wishart distributions: Advances in theory with Bayesian application 

    Type: Journal Paper
    Author : Andriëtte Bekker; Janet van Niekerk; Mohammad Arashi
    Year: 2017
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    A gamma-mixture class of distributions with Bayesian application 

    Type: Journal Paper
    Author : Janet van Niekerk; Andriëtte Bekker; Mohammad Arashi
    Year: 2016
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    Evidential inference based on record data and inter-record times 

    Type: Journal Paper
    Author : مهدی عمادی; محمد آرشی; Mohammad Arashi
    Year: 2008
    Abstract:

    Science looks to statistics for an objective measure of the

    strength of evidence in a given body of observations. In this

    paper, we shall use a criterion defined as a combination of

    probabilities of ...

    Estimation using ordered data in a mixture of normals based on evidential analysis 

    Type: Conference Paper
    Author : محمد آرشی; مهدی عمادی; Mohammad Arashi
    Year: 2006
    Abstract:

    Often, in the essence of practical situations, some distribution functions

    come up with a finite mixture model for multinomial observations. To do

    inference for the mixture proportion and the parameters of a ...

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