A Chain Regression Estimator In Two Phase Sampling Using Multi-Auxiliary Information
Bulletin of the Malaysian Mathematical Society, Tome 28 (2005) no. 1 Cet article a éte moissonné depuis la source Bulletin of the Malaysian Mathematical Society website

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In this paper the population mean of the study variable y is estimated in a two phase sampling setup using three auxiliary variables with chain regression concept when the population mean of one of the auxiliary variables is unknown and other auxiliary population mean are known.
@article{BMMS_2005_28_1_a9,
     author = {B.K. Pradhan},
     title = {A {Chain} {Regression} {Estimator} {In} {Two} {Phase} {Sampling} {Using
}  {Multi-Auxiliary} {Information}},
     journal = {Bulletin of the Malaysian Mathematical Society},
     year = {2005},
     volume = {28},
     number = {1},
     url = {http://geodesic.mathdoc.fr/item/BMMS_2005_28_1_a9/}
}
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%T A Chain Regression Estimator In Two Phase Sampling Using
  Multi-Auxiliary Information
%J Bulletin of the Malaysian Mathematical Society
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B.K. Pradhan. A Chain Regression Estimator In Two Phase Sampling Using
  Multi-Auxiliary Information. Bulletin of the Malaysian Mathematical Society, Tome 28 (2005) no. 1. http://geodesic.mathdoc.fr/item/BMMS_2005_28_1_a9/