Robust parameter estimation of regression model with AR (p) error terms
In this article, we consider a linear regression model with AR (p) error terms with the
assumption that the error terms have at distribution as a heavy-tailed alternative to the …
assumption that the error terms have at distribution as a heavy-tailed alternative to the …
Parameter estimation of regression model with AR(p) error terms based on skew distributions with EM algorithm
In the linear regression model, the errors are usually assumed to be uncorrelated. However,
in real-life data, this assumption is not often plausible. In this study, first, we will assume that …
in real-life data, this assumption is not often plausible. In this study, first, we will assume that …
[PDF][PDF] A class of product-cum-dual to product estimators of the population mean in survey sampling using auxiliary information
S Choudhury, BK Singh - Asian J Math Stat, 2012 - researchgate.net
A ESTRA (" T ln this study, a class of product-cum-du al to product estimators have been
proposed for estimating finite population mean of the study variate." l'he bias and mean …
proposed for estimating finite population mean of the study variate." l'he bias and mean …
[PDF][PDF] Multiple linear regression formula for the probability of the average daily solar energy using the queue system
MM El Genidy - Asian Journal of Mathematics & Statistics, 2012 - researchgate.net
A ESTRA (" T" l'he multiple linear regression formula of the probability of the averaged daily
solar energy reaching a specific location on the earth's surface in a calendar month was …
solar energy reaching a specific location on the earth's surface in a calendar month was …
Efficiency in linear model with AR (1) and correlated error-regressor
JO Olaomi, AA Adedayo - African Research Review, 2009 - ajol.info
In this study, we conduct several Monte-Carlo experiments to examine the sensitivity of the
efficiency of FGLS estimators relative to OLS using the Variance and RMSE criteria, in the …
efficiency of FGLS estimators relative to OLS using the Variance and RMSE criteria, in the …