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The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution
by
Trindade, A. Alexandre
, Perera, Chamila
, Surles, James G.
, Barnard, Roger W.
in
Asymptotic properties
/ Force distribution
/ Humanities and Social Sciences
/ Inference
/ Mathematics and Statistics
/ multidisciplinary
/ Parameters
/ Pull out tests
/ Science
/ Statistical Theory and Methods
/ Statistics
/ Statistics and Computing/Statistics Programs
/ Stress concentration
/ Strip steel
2019
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The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution
by
Trindade, A. Alexandre
, Perera, Chamila
, Surles, James G.
, Barnard, Roger W.
in
Asymptotic properties
/ Force distribution
/ Humanities and Social Sciences
/ Inference
/ Mathematics and Statistics
/ multidisciplinary
/ Parameters
/ Pull out tests
/ Science
/ Statistical Theory and Methods
/ Statistics
/ Statistics and Computing/Statistics Programs
/ Stress concentration
/ Strip steel
2019
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution
by
Trindade, A. Alexandre
, Perera, Chamila
, Surles, James G.
, Barnard, Roger W.
in
Asymptotic properties
/ Force distribution
/ Humanities and Social Sciences
/ Inference
/ Mathematics and Statistics
/ multidisciplinary
/ Parameters
/ Pull out tests
/ Science
/ Statistical Theory and Methods
/ Statistics
/ Statistics and Computing/Statistics Programs
/ Stress concentration
/ Strip steel
2019
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The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution
Journal Article
The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution
2019
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Overview
Motivated by an engineering
pullout test
applied to a steel strip embedded in earth, we show how the resulting linearly decreasing force leads naturally to a new distribution, if the force under constant stress is modeled via a three-parameter Weibull. We term this the LDSWeibull distribution, and show that inference on the parameters of the underlying Weibull can be made upon collection of data from such pullout tests. Various classical finite-sample and asymptotic properties of the LDSWeibull are studied, including existence of moments, distribution of extremes, and maximum likelihood based inference under different regimes. The LDSWeibull is shown to have many similarities with the Weibull, but does not suffer from the problem of having an unbounded likelihood function under certain parameter configurations. We demonstrate that the quality of its fit can also be very competitive with that of the Weibull in certain applications.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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