The Heteroskedasticity Test Implementation for Linear Regression Model Using MATLAB
نویسندگان
چکیده
منابع مشابه
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 ...
15 صفحه اولStein Type Estimators for Disturbance Variance in Linear Regression Model
This article has no abstract.
متن کاملA WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSE
A weighted linear regression model with impercise response and p-real explanatory variables is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. A least square solution for estimating the parameters of the model is derived. The result are illustrated by the means of some case studies.
متن کاملMosfet Simulation Using Matlab Implementation of the Ekv Model
The paper presents an implementation of EKV MOST model in Matlab environment. Parameter extraction and fitting procedures are briefly sketched.Open source modules for transistor characteristics and additional functions for parameter extraction and fitting are included in a Matlab toolbox. Model parameters are user defined to provide flexibility of design process.The accuracy of simulation resul...
متن کاملUsing heteroskedasticity-consistent standard error estimators in OLS regression: an introduction and software implementation.
Homoskedasticity is an important assumption in ordinary least squares (OLS) regression. Although the estimator of the regression parameters in OLS regression is unbiased when the homoskedasticity assumption is violated, the estimator of the covariance matrix of the parameter estimates can be biased and inconsistent under heteroskedasticity, which can produce significance tests and confidence in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Informatica
سال: 2018
ISSN: 1854-3871,0350-5596
DOI: 10.31449/inf.v42i4.1862