Role of auxiliary information in estimation of population mean

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In survey sampling we are often concerned with the estimation of population parameters with the use of auxiliary information, which may be available (or made available by diverting a part of the resources) in one form or the other. If used properly, this information may provide better estimates than those where such information is not used. In this context improved classes of estimators of population mean with the use of auxiliary information, improved ratio and product type of estimators have been developed for estimation of population mean of study variable .The families of estimators of mean have been proposed for various situations of auxiliary characters such as when variance is known and population mean unknown, when variance is unknown and population mean known and neither population mean nor variance is known. Further various classes of improved ratio type estimators and product type estimators have been developed. The large sample properties of the proposed estimators of mean, ratio and product type estimators have been compared with conventional and other estimators through empirical study for different sample sizes.

Autorentext

Dr.Manish Kr. Sharma is Associate Professor (Statistics) in S. K.University of Agricultural Sciences and Technology ofJammu,INDIA. He is gold medalist in M.Sc. from University ofJammu and Ph.D. from CCSHAU,Hisar,INDIA . He has 10 years ofteaching and research experience with more than 20 national andinternational publications to his credit.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783844308693
    • Sprache Englisch
    • Größe H220mm x B150mm x T9mm
    • Jahr 2011
    • EAN 9783844308693
    • Format Kartonierter Einband
    • ISBN 3844308695
    • Veröffentlichung 28.02.2011
    • Titel Role of auxiliary information in estimation of population mean
    • Autor Manish Sharma
    • Untertitel General classes of improved estimators of population mean through auxiliary information
    • Gewicht 221g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 136
    • Genre Mathematik

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