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Journal of Statistical Sciences, Autumn & Winter 2007 Vol. 1, No. 1

 

Inference in Normal Distribution Based on the Weighted Sampling

 

Alavi, S. M. R. and Chinipardaz, R.  

Department of Statistics, Shahid Chamran University, Ahvaz, Iran.

 

 

Abstract:The classical analysis is based on random samples. However, in many situations the observations are recorded according to a nonnegative function of observations. In this case the mechanism of sampling is called weighted sampling. The usual statistical methods based on a weighted sample may be not valid and have to be adjusted. In this paper adjusted methods under some particular weight functions for normal distribution are studied and a new distribution called double normal distribution, is introduced as a weighted normal distribution.

 

Keywords:Weighted Sampling, Independent Weight Function, Dependent Weight Function, Weighted Random Variable, Weighted Normal Distribution, Double Normal Distribution.

 

 

 


       


 

 

 

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