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Classical and Bayesian inference for an extended generalized Birnbaum-Saunders distribution

Communications in statistics. Simulation and computation, 2023-11, Vol.52 (11), p.5615-5632

Sha, Naijun

2023

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Parameter Inference in a Hybrid System With Masked Data

IEEE transactions on reliability, 2015-06, Vol.64 (2), p.636-644

2015

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Bayesian variable selection for the analysis of microarray data with censored outcomes

Bioinformatics, 2006-09, Vol.22 (18), p.2262-2268

2006

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Gene selection: a Bayesian variable selection approach

Bioinformatics (Oxford, England), 2003, Vol.19 (1), p.90-97

2003

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Comparison Analysis of Efficiency for Step-Down and Step-Up Stress Accelerated Life Testing

IEEE transactions on reliability, 2012-06, Vol.61 (2), p.590-603

2012

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Statistical Inference for Progressive Stress Accelerated Life Testing with Birnbaum-Saunders Distribution

Stats (Basel, Switzerland), 2018-12, Vol.1 (1), p.189-203

Sha, Naijun

2018

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A New Inference Approach for Type-II Generalized Birnbaum-Saunders Distribution

Stats (Basel, Switzerland), 2019-03, Vol.2 (1), p.148-163

Sha, Naijun

2019

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Bayesian analysis for step-stress accelerated life testing using weibull proportional hazard model

Statistical papers (Berlin, Germany), 2014-08, Vol.55 (3), p.715-726

2014

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On Parameter Inference for Step-Stress Accelerated Life Test with Geometric Distribution

Communications in statistics. Theory and methods, 2012-05, Vol.41 (10), p.1796-1812

2012

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Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies

Statistical science, 2011-02, Vol.26 (1), p.130-149

2011

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Bayesian inference for Birnbaum-Saunders distribution and its generalization

Journal of statistical computation and simulation, 2017-08, Vol.87 (12), p.2411-2429

2017

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A Bayes Inference for Ordinal Response with Latent Variable Approach

Stats (Basel, Switzerland), 2019-06, Vol.2 (2), p.321-331

2019

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Statistical Analysis for Varying-Stress Accelerated Life Testing with Inverse Gaussian Distribution

International journal of applied science and technology, 2020, Vol.10 (3)

2020

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Bayesian Variable Selection in Clustering High-Dimensional Data

Journal of the American Statistical Association, 2005-06, Vol.100 (470), p.602-617

2005

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Bayesian Inference of Scale Parameters in Exponential Family Using Conditionally Specified Priors

Communications in statistics. Theory and methods, 2005-01, Vol.34 (2), p.303-318

2005

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A Bayes Inference for Step-Stress Accelerated Life Testing

International journal of statistics and probability, 2017-09, Vol.6 (6), p.1

2017

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Discussion of “Gaussian process regression for multivariate spectroscopic calibration”

Chemometrics and intelligent laboratory systems, 2007-05, Vol.87 (1), p.67-68

Sha, Naijun

2007

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Correction to: Statistical Inference for Type-I Generalized Birnbaum–Saunders Distribution

Journal of the Indian Society for Probability and Statistics, 2018-12, Vol.19 (2), p.489-489

2018

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Statistical Inference for Type-I Generalized Birnbaum–Saunders Distribution

Journal of the Indian Society for Probability and Statistics, 2018-12, Vol.19 (2), p.469-487

2018

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A new mixed bivariate geometric-exponential life distribution with applications to series systems

Journal of statistical computation and simulation, 2017-01, Vol.87 (2), p.250-266

2017

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Estimating Intraclass Correlation Coefficient and Identifying Influential Observations Under One-Way Random Effects Model

Communications in statistics. Simulation and computation, 2014-11, Vol.43 (10), p.2374-2389

2014

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Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome

Cancer informatics, 2007-01, Vol.3, p.19-28

2007

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Reliability Estimation for Accelerated Life Tests Based on a Cox Proportional Hazard Model with Error Effect

Quality and reliability engineering international, 2017-11, Vol.33 (7), p.1407-1416

2017

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Statistical Inference in Dependent Component Hybrid Systems with Masked Data

Advances in Statistics, 2015-06, Vol.2015, p.1-11

2015

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Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage

Biometrics, 2004-09, Vol.60 (3), p.812-819

2004

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Classical and Bayesian inference for an extended generalized Birnbaum-Saunders distribution

Parameter Inference in a Hybrid System With Masked Data

Bayesian variable selection for the analysis of microarray data with censored outcomes

Gene selection: a Bayesian variable selection approach

Comparison Analysis of Efficiency for Step-Down and Step-Up Stress Accelerated Life Testing

Statistical Inference for Progressive Stress Accelerated Life Testing with Birnbaum-Saunders Distribution

A New Inference Approach for Type-II Generalized Birnbaum-Saunders Distribution

Bayesian analysis for step-stress accelerated life testing using weibull proportional hazard model

On Parameter Inference for Step-Stress Accelerated Life Test with Geometric Distribution

Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies

Bayesian inference for Birnbaum-Saunders distribution and its generalization

A Bayes Inference for Ordinal Response with Latent Variable Approach

Statistical Analysis for Varying-Stress Accelerated Life Testing with Inverse Gaussian Distribution

Bayesian Variable Selection in Clustering High-Dimensional Data

Bayesian Inference of Scale Parameters in Exponential Family Using Conditionally Specified Priors

A Bayes Inference for Step-Stress Accelerated Life Testing

Discussion of “Gaussian process regression for multivariate spectroscopic calibration”

Correction to: Statistical Inference for Type-I Generalized Birnbaum–Saunders Distribution

Statistical Inference for Type-I Generalized Birnbaum–Saunders Distribution

A new mixed bivariate geometric-exponential life distribution with applications to series systems

Estimating Intraclass Correlation Coefficient and Identifying Influential Observations Under One-Way Random Effects Model

Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome

Reliability Estimation for Accelerated Life Tests Based on a Cox Proportional Hazard Model with Error Effect

Statistical Inference in Dependent Component Hybrid Systems with Masked Data

Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage

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