نتایج جستجو برای: estimates were obtained with restricted maximum likelihood method via ai algorithm

تعداد نتایج: 10779391  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بیرجند - دانشکده علوم انسانی 1389

abstract amino acids are building blocks of proteins, and play a vital role in living beings existence and their functionality. the interaction of these compounds with metal ions is of great importance to biochemists, and chemists, because their functions can be utilized as a model in understanding enzymes mechanism for transport of metal ions to tissues. among twenty essential amino acids w...

ژورنال: علوم آب و خاک 2011
علیرضا سفیانیان , , ملیحه السادات مدنیان, ,

Land cover maps derived from satellite images play a key role in regional and national land cover assessments. In order to compare maximum likelihood and minimum distance to mean classifiers, LISS-III images from IRS-P6 satellite were acquired in August 2008 from the western part of Isfahan. First, the LISS-III image was georeferenced. The Root Mean Square error of less than one pixel was the r...

2013
James Ledoux

The purpose of this paper is to give an overview on the use of the Expectation-Maximization (EM) algorithm in software reliability modeling. This algorithm is related to Maximum Likelihood Estimates (MLE) of parameters in a context of missing data. Different ways to implement this algorithm are highlighted for hidden Markov models in software reliability.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه رازی - دانشکده علوم 1389

fluorescence chemical sensors for the highly sensitive and selective determination of pb2+ , hg2+, co2+ and fe3+ ions in aqueous solutions are described. the ion sensing system was prepared by incorporating lipophilic ligand (l) as a neutral ion-selective fluoroionophore in the plasticized pvc membrane containing sodium tetraphenylborate or potasium tetrakis (p-chlorophenyl) borate as a liphoph...

2012
Yeojin Chung Sophia Rabe-Hesketh Vincent Dorie Andrew Gelman Jingchen Liu

In this paper we consider the problem of obtaining zero estimates for group-level variance parameters in multilevel or hierarchical linear models, a problem that occurs frequently when the number of groups or the value of the variance is small. For situations where zero variances are implausible a priori, we propose a maximum penalized likelihood approach to avoid such boundary estimates. This ...

Journal: :journal of agricultural science and technology 2011
sh. ghorbani m. a. kamali m. a. abbasi f. ghafori-kesbi

this study was conducted to investigate direct and maternal effects on some economic traits in north iranian native fowls. traits considered were body weight at 1 day of age (bw1), body weight at 8 weeks of age (bw8), body weight at 12 weeks of age (bw12), egg number (en) during the first 12 weeks of laying period, egg weight at 1st day of laying (ew1), mean egg weight at 28th, 30th and 32nd we...

Journal: :iranian journal of applied animal science 2013
m.m. mia m.a.m.y. khandoker s.s. husain m.o. faruque d.r. notter

the objective of this study was to evaluate genetic and phenotypic parameters for some reproductive traits of black bengal does. genetic parameters were estimated by residual maximum likelihood procedure, fitting an animal model ignoring maternal genetic or permanent environmental effects. the least-squares means of litter size at birth (lsb), litter size at weaning (lsw), litter weight at birt...

Journal: :مجله علوم کشاورزی ایران 0
ابوالقاسم سراج رسول واعظ ترشیزی اردشیر نجاتی جوارمی

maternal effects on body weight at 8 weeks of age (bw8w), egg weight (ew), egg number (en) and age at sexual maturity (asm) from 13 generations of mazandaran native fowl were investigated. the data were analyzed using restricted maximum likelihood procedures and animal model with dfreml software. with or without using maternal effects, six different animal models were fitted. likelihood ratio t...

2012
Andrew M. Raim Minglei Liu Nagaraj K. Neerchal Jorge G. Morel

Finite mixture distributions arise naturally in many applications including clustering and classification. Since they usually do not yield closed forms for maximum likelihood estimates (MLEs), numerical methods using the well known Fisher Scoring or Expectation-Maximization algorithms are considered. In this work, an approximation to the Fisher Information Matrix of an arbitrary mixture of mult...

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