INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING

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ALAVI S.M.R.; CHINIPARDAZ RAHIM

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Journal: JOURNAL OF STATISTICAL SCIENCES Year:2007 | Volume:1 | Issue:1 Page(s): 73-88

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Title

INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING

Author(s)

ALAVI S.M.R. | CHINIPARDAZ RAHIM | Issue Writer Certificate

Keywords

WEIGHTED SAMPLINGQ4

INDEPENDENT WEIGHT FUNCTIONQ4

DEPENDENT WEIGHT FUNCTIONQ4

WEIGHTED RANDOM VARIABLEQ4

WEIGHTED NORMAL DISTRIBUTIONQ4

DOUBLE NORMAL DISTRIBUTIONQ4

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.

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APA: Copy

ALAVI, S.M.R., & CHINIPARDAZ, RAHIM. (2007). INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING. JOURNAL OF STATISTICAL SCIENCES, 1(1), 73-88. SID. https://sid.ir/paper/124086/en

Vancouver: Copy

ALAVI S.M.R., CHINIPARDAZ RAHIM. INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2007;1(1):73-88. Available from: https://sid.ir/paper/124086/en

IEEE: Copy

S.M.R. ALAVI, and RAHIM CHINIPARDAZ, “INFERENCE IN NORMAL DISTRIBUTION BASED ON THE WEIGHTED SAMPLING,” JOURNAL OF STATISTICAL SCIENCES, vol. 1, no. 1, pp. 73–88, 2007, [Online]. Available: https://sid.ir/paper/124086/en

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