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Refinado por: Nome da Publicação: Journal of statistical computation and simulation remover assunto: Monte Carlo Simulation remover assunto: Statistics & Probability remover
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1
Comparisons of various types of normality tests
Comparisons of various types of normality tests
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Comparisons of various types of normality tests

Yap, B. W. ; Sim, C. H.

Journal of statistical computation and simulation, 2011-12, Vol.81 (12), p.2141-2155 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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2
On the reliability estimation of multicomponent stress-strength model for Burr XII distribution using progressively first-failure censored samples
On the reliability estimation of multicomponent stress-strength model for Burr XII distribution using progressively first-failure censored samples
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On the reliability estimation of multicomponent stress-strength model for Burr XII distribution using progressively first-failure censored samples

Saini, Shubham ; Tomer, Sachin ; Garg, Renu

Journal of statistical computation and simulation, 2022-03, Vol.92 (4), p.667-704 [Periódico revisado por pares]

Taylor & Francis

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3
On the performance of some new Liu parameters for the gamma regression model
On the performance of some new Liu parameters for the gamma regression model
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On the performance of some new Liu parameters for the gamma regression model

Qasim, Muhammad ; Amin, Muhammad ; Amanullah, Muhammad

Journal of statistical computation and simulation, 2018-11, Vol.88 (16), p.3065-3080 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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4
Improved estimators in bell regression model with application
Improved estimators in bell regression model with application
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Improved estimators in bell regression model with application

Seifollahi, Solmaz ; Bevrani, Hossein ; Algamal, Zakariya Yahya

Journal of statistical computation and simulation, 2024-05, p.1-17 [Periódico revisado por pares]

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5
Shapiro-Wilk test for skew normal distributions based on data transformations
Shapiro-Wilk test for skew normal distributions based on data transformations
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Shapiro-Wilk test for skew normal distributions based on data transformations

González-Estrada, Elizabeth ; Cosmes, Waldenia

Journal of statistical computation and simulation, 2019-11, Vol.89 (17), p.3258-3272 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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6
On some beta ridge regression estimators: method, simulation and application
On some beta ridge regression estimators: method, simulation and application
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On some beta ridge regression estimators: method, simulation and application

Qasim, Muhammad ; Månsson, Kristofer ; Golam Kibria, B. M.

Journal of statistical computation and simulation, 2021-06, Vol.91 (9), p.1699-1712 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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7
Varentropy estimators with applications in testing uniformity
Varentropy estimators with applications in testing uniformity
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Varentropy estimators with applications in testing uniformity

Alizadeh Noughabi, Hadi ; Shafaei Noughabi, Mohammad

Journal of statistical computation and simulation, 2023-10, Vol.93 (15), p.2582-2599 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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8
Dual-rank ranked set sampling
Dual-rank ranked set sampling
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Dual-rank ranked set sampling

Taconeli, Cesar Augusto

Journal of statistical computation and simulation, 2024-01, Vol.94 (1), p.29-49 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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9
On E-Bayesian analysis of the hierarchical normal and inverse gamma model using different loss functions and its application
On E-Bayesian analysis of the hierarchical normal and inverse gamma model using different loss functions and its application
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On E-Bayesian analysis of the hierarchical normal and inverse gamma model using different loss functions and its application

Iqbal, Azeem ; Yousuf Shad, Muhammad

Journal of statistical computation and simulation, 2023-07, Vol.93 (11), p.1743-1771 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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10
A new Liu-type estimator for the Inverse Gaussian Regression Model
A new Liu-type estimator for the Inverse Gaussian Regression Model
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A new Liu-type estimator for the Inverse Gaussian Regression Model

Akram, Muhammad Nauman ; Amin, Muhammad ; Qasim, Muhammad

Journal of statistical computation and simulation, 2020-05, Vol.90 (7), p.1153-1172 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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