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Estimation of Population Regression Coefficient in Successive Sampling
Author(s) -
Singh P.,
Talwar H. K.
Publication year - 1991
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710330513
Subject(s) - statistics , mathematics , estimator , estimation , regression , regression analysis , linear regression , sampling (signal processing) , population , computer science , demography , management , filter (signal processing) , sociology , economics , computer vision
An attempt has been made to derive the theory of successive sampling for estimation of regression coefficient. The situations considered are estimation of regression coefficient for current occasion, estimation of change of regression coefficients over two occasions and estimation of average of regression coefficients over two occasions. The expressions of optimum estimators along with their variances have been worked out. On comparing their efficiencies empirically, it has been observed that similar to the estimation of mean, successive sampling can also be used with advantage for estimation of regression coefficient.