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Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
by
Taghipour, Mehrdad
, El-Raouf, M. M. Abd
, Riad, Fathy H.
, Saber, Mohammad Mehdi
in
Bayesian analysis
/ Bias
/ Confidence intervals
/ Mathematical models
/ Maximum likelihood estimators
/ Methods
/ Probability
/ Random variables
/ Statistical analysis
/ Statistical inference
/ Statistical methods
/ Stress concentration
2021
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Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
by
Taghipour, Mehrdad
, El-Raouf, M. M. Abd
, Riad, Fathy H.
, Saber, Mohammad Mehdi
in
Bayesian analysis
/ Bias
/ Confidence intervals
/ Mathematical models
/ Maximum likelihood estimators
/ Methods
/ Probability
/ Random variables
/ Statistical analysis
/ Statistical inference
/ Statistical methods
/ Stress concentration
2021
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Do you wish to request the book?
Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
by
Taghipour, Mehrdad
, El-Raouf, M. M. Abd
, Riad, Fathy H.
, Saber, Mohammad Mehdi
in
Bayesian analysis
/ Bias
/ Confidence intervals
/ Mathematical models
/ Maximum likelihood estimators
/ Methods
/ Probability
/ Random variables
/ Statistical analysis
/ Statistical inference
/ Statistical methods
/ Stress concentration
2021
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Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
Journal Article
Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
2021
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Overview
Stress-strength models have been frequently studied in recent years. An applicable extension of these models is conditional stress-strength models. The maximum likelihood estimator of conditional stress-strength models, asymptotic distribution of this estimator, and its confidence intervals are obtained for Kumaraswamy distribution. In addition, Bayesian estimation and bootstrap method are applied to the model.
Publisher
Hindawi,John Wiley & Sons, Inc
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