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Paper Information

Journal:   JOURNAL OF STATISTICAL SCIENCES   SPRING-SUMMER 2007 , Volume 1 , Number 1; Page(s) 73 To 88.
 
Paper: 

INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING

 
 
Author(s):  ALAVI S.M.R., CHINIPARDAZ RAHIM
 
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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.
 
Keyword(s): WEIGHTED SAMPLING, INDEPENDENT WEIGHT FUNCTION, DEPENDENT WEIGHT FUNCTION, WEIGHTED RANDOM VARIABLE, WEIGHTED NORMAL DISTRIBUTION, DOUBLE NORMAL DISTRIBUTION
 
 
References: 
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Citations: 
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+ Click to Cite.
APA: Copy

ALAVI, S., & CHINIPARDAZ, R. (2007). INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING. JOURNAL OF STATISTICAL SCIENCES, 1(1), 73-88. https://www.sid.ir/en/journal/ViewPaper.aspx?id=99261



Vancouver: Copy

ALAVI S.M.R., CHINIPARDAZ RAHIM. INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING. JOURNAL OF STATISTICAL SCIENCES. 2007 [cited 2021October28];1(1):73-88. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=99261



IEEE: Copy

ALAVI, S., CHINIPARDAZ, R., 2007. INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING. JOURNAL OF STATISTICAL SCIENCES, [online] 1(1), pp.73-88. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=99261.



 
 
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