The large deviation for the least squares estimator of nonlinear regression model based on WOD errors

Level Robust Methods Based on the Least Squares Regression Estimator

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

the effect of consciousness raising (c-r) on the reduction of translational errors: a case study

در دوره های آموزش ترجمه استادان بیشتر سعی دارند دانشجویان را با انواع متون آشنا سازند، درحالی که کمتر به خطاهای مکرر آنان در متن ترجمه شده می پردازند. اهمیت تحقیق حاضر مبنی بر ارتکاب مکرر خطاهای ترجمانی حتی بعد از گذراندن دوره های تخصصی ترجمه از سوی دانشجویان است. هدف از آن تاکید بر خطاهای رایج میان دانشجویان مترجمی و کاهش این خطاها با افزایش آگاهی و هوشیاری دانشجویان از بروز آنها است.از آنجا ک...

Some Limit Properties of an Approximate Least Squares Estimator in a Nonlinear Regression Model with Correlated Nonzero Mean Errors

A nonlinear regression model with correlated, normally distributed errors with non zero means is investigated. The limit properties of bias and the mean square error matrix of the approximate least squares estimator of regression parameters are studied.

Consistency for the Least Squares Estimator in Non-parametric Regression

We shall study the general regression model Y = g 0 (X) + ", where X and " are independent. The available information about g 0 can be expressed by g 0 2 G for some class G. As an estimator of g 0 we choose the least squares estimator. We shall give necessary and suucient conditions for consistency of this estimator in terms of (basically) geometric properties of G. Our main tool will be the th...