Call of Papers for Current Volume **************** OnLine Submission of Paper

Volume & Issue no: Volume 6, Issue 1, January 2017

_____________________________________________________________________________

Title:
Sample selection with probability proportional to size sampling using SAS and R software
Author Name:
Nobin chandra paul
Abstract:
ABSTRACT In simple random sampling every unit in the population has the equal chance of being included in the sample but if the sampling units vary in their size then simple random sampling does not take into account the importance of larger units in the population contradiction to this probability proportional to size sampling scheme gives more probability of inclusion to larger units as compared to the smaller units in the sample. Therefore, Probability proportional to size sampling gives more efficient estimator as compared to equal probability sampling scheme. In this article, my aim is to select a sample of units on the basis of its size by using SAS and R software. Keywords:Probability Proportional to Size (PPS), SAS,PROC SURVEYSELECT
Cite this article:
Nobin chandra paul , " Sample selection with probability proportional to size sampling using SAS and R software" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 6, Issue 1, January 2017 , pp. 001-006 , ISSN 2319 - 4847.
Full Text [PDF]                           Back to Current Issue