debias-package: Bias Reduction of Small Sample MLE and Related Functions
In debias: Functions implementing MLE,its bias reduction for small samples and related issues
Description
Introduction
Author(s)
References
Description
Functions implementing MLE,its bias reduction for small samples and related issues as documented
in The New Weibull Handbook, by Dr. Robert B. Abernethy
Introduction
debias This package is intended to expose the specific implementation of
Dr. Abernethy's methods through open source code. The primary purpose is to encourage
further work in the feild of reliability analysis initiated by Waloddi Weibull, and
continued by Dr. Robert B. Abernethy, Paul Barringer, Wes Fulton and many others.
Ultimately, this package may progress to permit development of a complete and bonifide
user application.
Author(s)
Jacob T. Ormerod
Maintainer: David Silkworth <davidsilkworth@openreliability.me>
References
Dr. Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition"
debias documentation built on May 2, 2019, 4:49 p.m.
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Description Introduction Author(s) References
Description
Functions implementing MLE,its bias reduction for small samples and related issues as documented in The New Weibull Handbook, by Dr. Robert B. Abernethy
Introduction
debias This package is intended to expose the specific implementation of Dr. Abernethy's methods through open source code. The primary purpose is to encourage further work in the feild of reliability analysis initiated by Waloddi Weibull, and continued by Dr. Robert B. Abernethy, Paul Barringer, Wes Fulton and many others. Ultimately, this package may progress to permit development of a complete and bonifide user application.
Author(s)
Jacob T. Ormerod
Maintainer: David Silkworth <davidsilkworth@openreliability.me>
References
Dr. Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition"
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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