نتایج جستجو برای: estimates

تعداد نتایج: 178799  

Journal: :علوم گیاهان زراعی ایران 0
پوراندخت گلکار استادیار دانشکده کشاورزی، دانشگاه شهید باهنر کرمان احمد ارزانی استاد دانشکده کشاورزی، دانشگاه صنعتی اصفهان عبدالمجید رضائی استاد دانشکده کشاورزی، دانشگاه صنعتی اصفهان

diallel crosses of eight genotypes of safflower were conducted and f1 and f2 generations were evaluated to estimate genetic parameters for seed-quality related traits including protein contents (%), fiber, ash and oil yeild. griffing’s methods 1 and 2 for f1 and f2 generations was used, respectively. sixty four genotypes including 8 parents and 56 f1 progenies, and half diallel crosses of f2 ge...

2007
Mark Schmidt Kevin Murphy

– The LARS-MLE algorithm, an efficient algorithm that returns the unpenalized Maximum Likelihood Estimates (MLEs) for all non-zero subsets of variables encountered along the LARS regularization path. – The Two-Metric Projection algorithm used for L1-regularized Logistic Regression. – The L1PC algorithm, a relaxed form of the L1MB algorithm that allows scaling to much larger graphs. – Extensions...

2014
D. M. Sakate D. N. Kashid

Maximum likelihood estimates (MLE) of regression parameters in the generalized linear models (GLM) are biased and their bias is non negligible when sample size is small. This study focuses on the GLM with binary data with multiple observations on response for each predictor value when sample size is small. The performance of the estimation methods in Cordeiro and McCullagh (1991), Firth (1993) ...

2010
Gang Cheng Ying Zhang Liqian Lu

Non-parametric and semi-parametric analysis of panel count data have recently been an active research topic in statistical literature. Maximum likelihood method based on non-homogeneous Poisson process has been proved an efficient inference procedure for such analysis. However, computing the nonand semi-parametric maximum likelihood estimates (MLE) can be very intensive numerically. In this man...

Journal: :محیط زیست طبیعی 0
حسین وارسته مرادی استادیار گروه محیط زیست، دانشکده شیلات و محیط زیست، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، ایران

population management of exploited species requires information on absolute density and abundance through reliable survey methods. the baseline information is further needed for population dynamics studies and determination of conservation status. the current population size of pheasant is totally unknown, because there is no official attempt to estimate population size in previous years. in th...

Journal: :Journal of Computational and Applied Mathematics 1994

Journal: :Journal of Computational and Applied Mathematics 1990

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