A Bootstrap Control Chart for Weibull Percentiles

By Michele D. Nichols, W. J. Padgett. Quality and Reliability Engineering International, 2006

585 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/dfe3879d7a036bba88ec5d236bbc53f36695b5e0

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

A new family of distributions with properties, regression models and applications (2018, methodology): “The second real data set corresponds to an uncensored data set from Nichols and Padgett (2006) on breaking stress of carbon fibres (in Gba).”
Generalized inverted Kumaraswamy generated family of distributions: theory and applications (2019, methodology): “The data sets are obtained from Nichols and Padgett [22] and presented in Table 5.”
A Generalization of Lomax Distribution with Properties, Copula and Real Data Applications (2020, methodology): “This data set consists of 100 observations of breaking stress of carbon fibrrs (in Gba) given by Nichols and Padgett (2006).”
A New Weibull Class of Distributions: Theory, Characterizations and Applications (2018, methodology): “We used computer software R Core Team (2016) for the simulation study.”
The Exponentiated Weibull-H Family of Distributions: Theory and Applications (2017, methodology): “Breaking Stress of Carbon Fibre Data The second data set consists of 100 observations from Nichols and Padgett [16] on breaking stress of carbon fibre (in Gba).”
EWMA Charts for the Weibull Shape Parameter (2010, methodology): “Nichols and Padgett (2006) used Monte Carlo simulations to compute control chart limits for monitoring Weibull quantiles.”
A New Log-Logistic Lifetime Model with Mathematical Properties, Copula, Modified Goodness-of-Fit Test for Validation and Real Data Modeling (2020, background): “The 1st data are an “engineering reallife data” and consist of 100 observations of “breaking stress of carbon fibers” given by [8].”
Lomax inverse Weibull model: properties, applications, and a modified Chi-squared goodness-of-fit test for validation (2020, methodology): “The first data set consists of 100 observations of breaking stress of carbon fbres given by Nichols and Padgett [27].”
The Weibull Fréchet distribution and its applications (2016, methodology): “The first data set consists of 100 observations of breaking stress of carbon fibres (in Gba) given by Nichols and Padgett [18].”
Expanded Fréchet Model: Mathematical Properties, Copula, Different Estimation Methods, Applications and Validation Testing (2020, methodology): “Stress Data The first data set is an uncensored data set consisting of 100 observations on breaking stress of carbon fibers (in Gba) given by [31] and these data are used by [32–35].”
A New Three-Parameter Exponential Distribution with Variable Shapes for the Hazard Rate: Estimation and Applications (2020, background): “The fourth set of data refers to breaking stress of carbon fibres (in Gba) and it consists of 100 observations (Nichols and Padgett, [28]).”