A New Biased Estimator Derived from Principal Component Regression Estimator

A New Biased Estimator Derived from Principal Component Regression Estimator

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A new biased estimator obtained by combining the Principal Component Regression Estimator and the special case of Liu-type estimator is proposed. The properties of the new estimator are derived and comparisons between the new estimator and other estimators in terms of mean squared error are presente...

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Bibliographic Details
Main Authors: Low, HC (Author), Ng, SF (Author), Quah, SH (Author)
Format: Article
Language:English
Series:JOURNAL OF MODERN APPLIED STATISTICAL METHODS
Online Access:View Fulltext in Publisher
LEADER 00886nam a2200157Ia 4500
001 10.22237-jmasm-1272687660
008 220124s2010 CNT 000 0 und d
020 |a 1538-9472 
245 1 0 |a A New Biased Estimator Derived from Principal Component Regression Estimator 
490 1 |a JOURNAL OF MODERN APPLIED STATISTICAL METHODS 
856 |z View Fulltext in Publisher  |u https://doi.org/10.22237/jmasm/1272687660 
520 3 |a A new biased estimator obtained by combining the Principal Component Regression Estimator and the special case of Liu-type estimator is proposed. The properties of the new estimator are derived and comparisons between the new estimator and other estimators in terms of mean squared error are presented. 
700 1 0 |a Low, HC  |e author 
700 1 0 |a Ng, SF  |e author 
700 1 0 |a Quah, SH  |e author 
773 |t JOURNAL OF MODERN APPLIED STATISTICAL METHODS  |x 1538-9472  |g 9 1, 227-234 

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