Orman ağacı ıslah çalışmalarında, uzun süre gözlemlenen genetik testler ile programları için parametreler tahmin edilmektedir. Söz konusu parametrelerin tahminleri programını etkileyeceğinden kullanılacak doğrusal karma modelin seçimi büyük önem taşımaktadır. Kullanılan modellerde tahmin, genellikle artık (residual) veya kısıtlı maksimum olabilirlik (REML) yöntemi kullanılarak elde edilir. Fark...

a total number of 116,984 weight records belonging to 12,397 baluchi lambs reared in abbas abad breeding station during years 1978-2008 were used for phenotypic evaluation of maximum daily growth (mdg) and analysis of environmental factors affecting this trait. the initial data were performed by foxpro program and then gompertz non-linear model was fitted on the weight records of individual lam...

We propose the semiparametric small area estimator under the partially linear model. Unlike the linear mixed models widely used in the small area estimation, which assume that the area effect is the random effect, we model the area effect as the unknown function of an area-indicative variable. We represent the nonparametric part for area effect using penalized splines, by which the estimation a...

R estimators based on the joint ranks (JR) of all the residuals have been developed over the last twenty years for fitting linear models with independently distributed errors. In this paper, we extend these estimators to estimating the fixed effects in a linear model with cluster correlated continuous error distributions for general score functions. We discuss the asymptotic theory of the estim...

Using forest inventory data and Landsat ETM+ data, linear fixed-effects models and linear mixed-effects models are developed based on the allometric growth model. The surface area of the normalized difference vegetation index (NDVIsa) is developed from the triangulated irregular network (TIN) with the aid of image-processing and the three-dimensional analysis extensions of Environmental Systems...

this paper uses the weighted l$_1-$norm to propose an algorithm for finding a well-dispersed subset of non-dominated solutions of multiple objective mixed integer linear programming problem. when all variables are integer it finds the whole set of efficient solutions. in each iteration of the proposed method only a mixed integer linear programming problem is solved and its optimal solutions gen...

Over the last decade the use of generalized linear models (GLMs) in modelling actuarial data received a lot of attention, starting from the actuarial illustrations in the standard text by McCullagh & Nelder (1989). Standard GLMs however model a sample of independent random variables. Since actuaries very often have repeated measurements or longitudinal data (i.e. repeated measurements over time...