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...

This study examines the role of foreign direct investment (FDI) on growth, making a comparison between selected countries of Africa and Asia. We utilized data for 30 countries 2009. The Hausman among OLS, fixed effect and random effect models. First, aggregate data and later disaggregated the data in assess the regional impact of FDI on ec that FDI has positive relationship with GDP growth also...

Heritabilities and genetic correlations between weaning weight (WW) and average daily gain (ADG) for the Hungarian Merino, Ile de France, Charollais, German Mutton Merino, German Blackheaded, Texel, Fleisch Merino and Suffolk were studied. The selection of replacements is based on the two traits. The amount of records provided by the Hungarian Sheep Breeder’s Association and by the Hungarian Ag...

The problem of experimental design for the purpose of estimating the fixed effects and the variance components corresponding to random nested factors is a widely applicable problem in industry. Random nested factors arise from quantity designations such as lot or batch and from sampling and measurement procedures. We introduce a new class of designs, called assembled designs, where all the nest...

To assess the potential for enhancing an existing stand of native perennial grasses on a California Coast Range Grassland site, we experimentally manipulated the seasonal timing and presence of grazing for 3 years (1994 through 1996) and of autumn burning for 2 years (1994 and 1995) and measured species cover for 6 years (1993 through 1998). We subjected the species matrix to classification (TW...

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...

We conducted a two-way selection experiment in a composite rabbit population to investigate the responses to selection for postweaning ADG and feed conversion (FC). Two generations of crossing, followed by four generations of random pair matings, preceded three generations of selection. Selection was practiced within four lines: high-feed conversion (HFC), low-feed conversion (LFC), high gain (...

Records on 361,300 Yorkshire, 154,833 Duroc, 99,311 Hampshire, and 71,097 Landrace pigs collected between 1985 and 1999 in herds on the National Swine Registry STAGES program were used to estimate additive genetic (animal), common environmental (litter) and residual variances and covariances for lean growth rate, days to 113 kg, backfat, and loineye area. Analysis was by the REMLf90 program of ...

Objectives To examine how the selection of different risk adjustors and statistical approaches affect the profiles of physician groups on patient satisfaction. Data sources Mailed patient surveys. Patients with asthma were selected randomly from each of 20 California physician groups between July 1998 and February 1999. A total of 2,515 patients responded. Study design A cross-sectional study. ...

In this paper, we consider the problem of selecting the variables of the fixed effects in the linear mixed models where the random effects are present and the observation vectors have been obtained frommany clusters. As the variable selection procedure, we here use the Akaike Information Criterion, AIC. In the context of the mixed linear models, two kinds of AIC have been proposed: marginal AIC...