Comparison of regression estimator and ratio estimator: a simulation study (Record no. 84117)

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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230201160254.0
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100 1# - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Paglinawan, Dixi M.
Relator term author
245 10 - TITLE STATEMENT
Title Comparison of regression estimator and ratio estimator: a simulation study
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc 2017
520 3# - SUMMARY, ETC.
Summary, etc We compared ratio and regression estimators empirically based on bias and coefficient of variation. Simulation studies accounting for sampling rate, population size, heterogeneity of the auxiliary variable x, deviation from linearity and model misspecification were conducted. The study shows that ratio estimator is better than regression estimators when regression line is close to the origin. Ratio and regression estimators still work even if there is a weak linear relationship between x and y, provided that there is minimal, if not absent, model misspecification. When the relationship between the target variable and the auxiliary variable is very weak, bootstrap estimates yield lower bias. Regression estimator is generally more efficient than ratio estimator.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bootstrap (Statistics)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Sampling (Statistics)
773 ## - HOST ITEM ENTRY
Title The Philippine Statistician
Relationship information vol. 66, no. 1: (2017), pages 49-57
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Source of classification or shelving scheme
Item type JOURNAL ARTICLE
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY PERIODICALS 2023-02-01 2023-02-01 2023-02-01 JOURNAL ARTICLE