We propose a new method in two variations for the identification of most relevant covariates in linear models with homoscedastic errors. In contrast to AIC, BIC and other information criteria, our method is based on an interpretable scaled quantity. This quantity measures a maximal relative error one makes by selecting covariates from a given set of all available covariates. The proposed model ...

The objectives of this study were: (i) to compare five models (Wood, Cobby & Le Du, Wilmink, Cappio Borlino, Djikstra) for describing the lactation curve of Chios sheep, (ii) to identify variation in lactation parameters related to environmental factors (season) and animal factors (parity). A data base on 61,705 recordings of daily milk production obtained from an automatic milking system was u...

A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality directly related to the treatment and/or the treated condition, and a risk of late death influenced by several exogenous factors. The parametric mixture is based on Weibull distributions for both components. Different set...

A statistical model of gear mesh vibration signals is proposed in this paper. It is seen that the sample mean is first removed from the gear mesh vibration signal, and the remaining signal components are approximated with a set of sinusoidal functions in the signal model. The signal model parameters can be estimated by the least-square method and the optimal model order is determined based on t...

genetic parameters direct and maternal in fars native flows using the bayesian statistical approach, was estimation with consider body weight at a day of age (bw1), body weight at eight weeks of age (bw8), body weight at 12 weeks of age (bw12), age at sexual maturity (asm), egg number (egp) and mean egg weight during 28th, 30th and 32nd week ages (av283032) fars native flows. genetic parameters...

Reversible-jump Markov chain Monte Carlo (RJ-MCMC) is a technique for simultaneously evaluating multiple related (but not necessarily nested) statistical models that has recently been applied to the problem of phylogenetic model selection. Here we use a simulation approach to assess the performance of this method and compare it to Akaike weights, a measure of model uncertainty that is based on ...

In this study, the co-digestion of orange pulp (OP) and cattle manure (CM) were investigated. The anaerobic process (40 d) five reactors prepared according to different carbon nitrogen (C/N) ratios (17, 26, 29, 35, 43.76) was completed. Anaerobic digestion (AD) investigated in batch (1000 mL) both biogas production measured every days soluble chemical oxygen demand (SCOD) value % removals deter...