Spores of Geobacillus stearothermophilus at two inoculum levels (3 and 6 log colony forming units per gram, cfu/g) were challenged with superheated steam (SS) at a velocity of 0.35 m/s and temperature of 130, 145, 160, and 175C. Tailing was observed in the survivor curves (plots of survival ratios, log( o N N ) against treatment time) as a monotonic upward concavity. Therefore, a non-linear reg...

This study compared seven growth models using body weight measurements from 300 progeny obtained from unselected random bred parents. The study which lasted for 20 weeks was carried out at the University of Maiduguri Livestock Teaching and Research farm. R 2 values for the Asymptote regression, Exponential, Gompertz, Logistic, Monomolecular, Richards and Weibull models were 0.994, 0.935, 0.997,...

The failure rate analysis of brake assemblies of a commercial airplane, i.e., Boeing 737, is analyzed using the artificial neural network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. Three years of data are used for model building and validation. The results ...

The paper deals with the analysis of the two survival models of the accelerated failuretime using two-parametrical log-logistic and Weibull distributions, and survival models using conditional generalized Weibull, log-logistic, and Smith and Bain distributions. The observed survival (number of deaths during the 30-year follow-up period among the study cohort) and the survival predicted by regre...

An exponential-inverse-exponential {Weibull} regression failure model is introduced. Some of its properties like density function, survival and hazard function are derived. Maximum likelihood estimates the parameters new from censored data obtained. To assess local influence diagnostic(s) on parameter estimates, appropriate matrices Also, global used to detect influential observations. Martinga...

We define a new quantile regression model based on reparameterized exponentiated odd log-logistic Weibull distribution, and obtain some of its structural properties. It includes as sub-models known models that can be utilized in many areas. The maximum likelihood method is adopted to estimate the parameters, several simulations are performed study finite sample properties estimators. applicabil...

fitting of regression models to life data, where the life distribution location parameter is a linear function of covariates. The fitting yields maximum likelihood estimates of parameters of a regression model with a Weibull, exponential, extreme value, normal, lognormal, logistic, loglogistic, or generalized gamma distribution. The data can be complete, right censored, left censored, or interv...

We fit a two-parameter Weibull regression model by maximum likelihood estimation (MLE) to filtered surface roughness data. These data were acquired with scanning confocal laser microscopy performed on aluminium alloy AA 5754-O surfaces that were subjected to a range of plastic strain intensities in three different in-plane strain modes. Noting that one of the two Weibull regression parameters i...

We propose a bivariate Weibull regression model with frailty which is generated by power variance function distribution. We assume that the bivariate survival data follow bivariate Weibull of Hanagal (2005a) and distribution of censoring variable is independent of the two life times. There are some interesting situations like survival times in genetic epidemiology, survival times of dental impl...