نتایج جستجو برای: estimates were obtained with restricted maximum likelihood method via ai algorithm
تعداد نتایج: 10779391 فیلتر نتایج به سال:
(Co)variance component estimates were computed for retail cuts per day of age (kilograms per day), cutability (percentage of carcass weight), and marbling score (1 through 11) using a multiple-trait sire model. Restricted maximum likelihood estimates of (co)variance components were obtained via an expectation-maximization algorithm. Carcass data consisted of 8,265 progeny records collected by U...
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
The present study aimed to estimate the genetic for parameters of biometric traits in Iranian Moghani-sheep breeds. The data set consisted 15115 biometric records from 3702 individual progenies of 499 male and 3203 female, involve for a 15 years period (1996 to 2011). obtained from Moghani sheep breeding and raising station. Variance components and genetic parameters were estimated using ...
Waiting time and system time (waiting plus service time) data, adjusted for idle times when necessary, are used for estimating the parameters in GI/G/1 queues. The sampling plans presented use incomplete information on the differences between service and inter-arrival times rather than full information on service and inter-arrival times. A variation of the EM algorithm is proposed to derive par...
in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...
We propose iterative proportional scaling (IPS) via decomposable submodels for maximizing likelihood function of a hierarchical model for contingency tables. In ordinary IPS the proportional scaling is performed by cycling through the elements of the generating class of a hierarchical model. We propose to adjust more marginals at each step. This is accomplished by expressing the generating clas...
The purpose of this study is to present the general concept Bayesian analysis and Markov chain Monte Carlo (MCMC) algorithm make some numerical comparisons with frequentist analyses. A factorial randomized complete-block (RCB) experiment used analyze cowpea data set that has four separate single-column replicates, each containing 9 combinations 3 varieties spacings. Response yield hay. Point es...
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