The general linear model (glm) provides a general framework for a large set of models whose common goal is to explain or predict a quantitative dependent variable by a set of independent variables which can be categorical of quantitative. The glm encompasses techniques such as Student’s t test, simple and multiple linear regression, analysis of variance, and covariance analysis. The glm is adeq...

based on spi and rdi indices, changes in droughts in the semi-arid areas of west golestan province was assessed in the gis environment by incorporating data from hashemabad synoptic station and 11 climatic stations. after evaluating the ability of lars-wg5 in the simulation period (1984-2010), downscaling of hadcm3, ipcm, and gfc models was done as a group under scenarios of a1b, a2 and b1 to e...

conclusions the conjoint analysis results show that gps concerned about various factors of family physician contracts. these results can be helpful for policy-makers as they complete the process of creating family physician plans, which can help increase the motivation of gps to participate in the plan. results the results show that “quotas for admission to specialized courses” is the strongest...

This paper introduces a general framework for estimating variance components in the linear mixed models via unbiased equations, which include some well-used estimators such as restricted maximum likelihood estimator. We derive asymptotic covariance matrices and second-order biases under equations without assuming normality of underlying distributions identify class components. It is also shown ...

a number of 5558 lambing records of 2245 mehraban ewes, collected during years 1995 to 2010 were utilized to estimate the variance components and heritability for the number of lambs per lambing,  making use of b-spline random regression models. the fixed factors affecting the studied trait were identified using general linear model analysis as well as sas software, where flock-year-season and ...