Results 191 to 200 of about 44,938 (219)

Heteroscedastic log-exponentiated Weibull regression model

Journal of Applied Statistics, 2017
We introduce a new class of heteroscedastic log-exponentiated Weibull (LEW) regression models. The class of regression models can be applied to censored data and be used more effectively in surviva...
Edwin M. M. Ortega, Artur J. Lemonte, Gauss M. Cordeiro, Vicente G. Cancho, Fábio L. Mialhe   +4 more
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Uncertain Weibull regression model with imprecise observations

Soft Computing, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zezhou Zou, Bao Jiang, Jian Li, Waichon Lio   +3 more
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A Bivariate Weibull Regression Model

Economic Quality Control, 2005
Summary: We propose a new bivariate Weibull regression model based on censored samples with common covariates. There are some interesting biometrical situations which motivate the study of a bivariate Weibull regression model of the proposed type. A procedure for obtaining the maximum likelihood estimators for the parameters in the model is derived and
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WEIBULL: A regression model for survival time studies

Computer Programs in Biomedicine, 1980
WEIBULL is a FORTRAN program which calculates the regression coefficients, their standard errors and the maximised log-likelihood of the data for a Weibull regression model. It incorporates routines from the NAG library in order to perform the maximisation. A kappa 2 statistic is computed to check the adequacy of the fit.
J, O'Quigley, A, Roberts
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Survival Weibull regression model for mismeasured outcomes

Communications in Statistics - Theory and Methods, 2017
In some survival studies, the exact time of the event of interest is unknown, but the event is known to have occurred during a particular period of time (interval-censored data).
Magda C. Pires, Enrico A. Colosimo, Arlaine A. Silva   +2 more
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Exponentiated Weibull regression for time-to-event data

Lifetime Data Analysis, 2017
The Weibull, log-logistic and log-normal distributions are extensively used to model time-to-event data. The Weibull family accommodates only monotone hazard rates, whereas the log-logistic and log-normal are widely used to model unimodal hazard functions.
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Weibull regression models for reliability data

Reliability Engineering & System Safety, 1991
Abstract Regression models based on the Weibull distribution are reviewed, and a number of applications given involving reliability data. The main techniques involved are numerical maximum likelihood as a near-universal technique for fitting models, and probability plots to assess goodness of fit.
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Weibull Extension of a Bivariate Exponential Regression Model

Economic Quality Control, 2005
Summary: We propose a bivariate Weibull regression models for the survival time derived from the bivariate exponential distribution of \textit{J. E. Freund} [J. Am. Stat. Assoc. 56, 971--977 (1961; Zbl 0106.13304)]. There are some biometrical applications which motivated to study these particular models.
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Confidence Limits for Weibull Regression With Censored Data

IEEE Transactions on Reliability, 1980
The response variable in an experiment follows a 2-parameter Weibull distribution having a scale parameter that varies inversely with a power of a deterministic, externally controlled, variable generically termed a stress. The shape parameter is invariant with stress.
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Extremal linear quantile regression with Weibull-type tails

Statistica Sinica, 2020
Summary: This study examines the estimation of extreme conditional quantiles for distributions with Weibull-type tails. We propose two families of estimators for the Weibull tail-coefficient, and construct an extrapolation estimator for the extreme conditional quantiles based on a quantile regression and extreme value theory.
He, Fengyang, Wang, Huixia Judy, Tong, Tiejun   +2 more
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