Author: Nelson Eduardo MarquinaPublisher:
ISBN:
Category :
Languages : en
Pages : 264
Book Description
An Approach to Biased Estimation in Regression Analysis
Author: Nelson Eduardo MarquinaPublisher:
ISBN:
Category :
Languages : en
Pages : 264
Book Description
An Approach to Biased Estimation in Regression Analysis
Author: Nelson E. MarquinaOn the Biased Estimation in Regression
Author: Esko LeskinenPublisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 168
Book Description
Regression Analysis and its Application
Author: Richard F. GunstPublisher: Routledge
ISBN: 1351419293
Category : Mathematics
Languages : en
Pages : 426
Book Description
Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better understanding of classical regression analysis. Useful either as a textbook or as a reference source, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application. The book presents regression analysis in the general context of data analysis. Using a teach-by-example format, it contains ten major data sets along with several smaller ones to illustrate the common characteristics of regression data and properties of statistics that are employed in regression analysis. The book covers model misspecification, residual analysis, multicollinearity, and biased regression estimators. It also focuses on data collection, model assumptions, and the interpretation of parameter estimates. Complete with an extensive bibliography, Regression Analysis and Its Application is suitable for statisticians, graduate and upper-level undergraduate students, and research scientists in biometry, business, ecology, economics, education, engineering, mathematics, physical sciences, psychology, and sociology. In addition, data collection agencies in the government and private sector will benefit from the book.
Biased Estimators in the Linear Regression Model
Author: Götz TrenklerPublisher:
ISBN: 9783445020246
Category : Econometrics
Languages : en
Pages : 163
Book Description
Biased Estimators for the Parameters of Linear Regression Model
Author: Bushra Abdalrasool AliPublisher: LAP Lambert Academic Publishing
ISBN: 9783659388736
Category :
Languages : en
Pages : 96
Book Description
This work deal with biased estimation methods for estimating the parameters of general linear regression model when the data are ill-conditioned. We focus our attention on ordinary and generalized ridge regression estimators, Jackknife ridge estimators and principal components estimators. In chapter one introduction and historical review In chapter two basic concepts, definitions on linear regression model are presented. Moreover, the statistical properties of the ordinary least squares estimators are presented. Classes of biased estimators are discussed in chapter three when the data suffer from the multicollinearity problem. The procedures discussed in the preceding chapters were applied in chapter four to perform the regression analysis employing the data obtained from Midland Refineries Company in Iraq, for 12 years period in order to determine the effect of six different factors on the productivity of labor. The statistical programs, SPSS, and Minitab were employed to perform the required calculations.
Comparison of Some Biased Estimation Methods (including Ordinary Subset Regression) in the Linear Model
Author: Steven M. SidikPublisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 50
Book Description
A Regression Analysis System with Biased Estimation and Diagnostic Plots
Author: Anthony Keith TowlesPublisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 168
Book Description
On the Biased Estimation in Regression
Author: Esko LeskinenPublisher:
ISBN: 9789516781955
Category :
Languages : en
Pages :
Book Description
Author: Amitava Mitra