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Category Archives: Communications in Statistics – Simulation and Computation

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Finite-sample performance of the robust variance estimator in the presence of missing data

Posted on 6 June 2022 by
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Posted in Communications in Statistics - Simulation and Computation

A dynamic approach to relative taxonomy and robust measures of central tendency

Posted on 6 June 2022 by
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Posted in Communications in Statistics - Simulation and Computation

Alternative methods for interpreting Monte Carlo experiments

Posted on 6 June 2022 by
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Posted in Communications in Statistics - Simulation and Computation

Bayesian framework for interval-valued data using Jeffreys’ prior and posterior predictive checking methods

Posted on 3 June 2022 by
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Posted in Communications in Statistics - Simulation and Computation

Mitigating lack of trust in quantitative randomized response technique models

Posted on 3 June 2022 by
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Posted in Communications in Statistics - Simulation and Computation

Correction to: Jayakumar, K., & Sankaran, K. K. (2019). Discrete Linnik Weibull distribution. Communications in Statistics—Simulation and Computation, 48 (10): 3092–117

Posted on 1 June 2022 by tandf: Communications in Statistics - Simulation and Computation: Table of Contents
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Posted in Communications in Statistics - Simulation and Computation

GMM-based procedure for multiple hypotheses testing

Posted on 1 June 2022 by
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Posted in Communications in Statistics - Simulation and Computation

The evaluation of the p-value as an estimator for the null hypothesis in the exponential distribution

Posted on 31 May 2022 by
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Posted in Communications in Statistics - Simulation and Computation

Bayesian estimation for geometric process with the Weibull distribution

Posted on 31 May 2022 by
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Posted in Communications in Statistics - Simulation and Computation

Asymptotic normality of error distribution estimator in autoregressive models

Posted on 28 May 2022 by
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Posted in Communications in Statistics - Simulation and Computation

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