Entropy estimation using Bootstrap and Jackknife methods and its application in testing normality

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POURKAZEMI A.; ALIZADEH NOUGHABI H.; JOMHOORI S.

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Journal: JOURNAL OF STATISTICAL SCIENCES Year:2020 | Volume:13 | Issue:2 Page(s): 0-0

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Information Journal Paper

Title

Entropy estimation using Bootstrap and Jackknife methods and its application in testing normality

Author(s)

POURKAZEMI A. | ALIZADEH NOUGHABI H. | JOMHOORI S. | Issue Writer Certificate

Keywords

EntropyQ3

BootstrapQ1

JackknifeQ1

Testing normalityQ1

Test powerQ2

Abstract

In this paper, the Bootstrap and Jackknife methods are stated and using these methods, Entropy is estimated. Then the estimators based on Bootstrap and Jackknife are investigated in terms of bias and RMSE using simulation. The proposed estimators are compared with other Entropy estimators by Monte Carlo simulation. Results show that the Entropy estimators based on Bootstrap and Jackknife have a good performance as compared to the other estimators. Next, some tests of normality based on the proposed estimators are introduced and the power of these tests are compared with other tests.

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APA: Copy

POURKAZEMI, A., ALIZADEH NOUGHABI, H., & JOMHOORI, S.. (2020). Entropy estimation using Bootstrap and Jackknife methods and its application in testing normality. JOURNAL OF STATISTICAL SCIENCES, 13(2 ), 0-0. SID. https://sid.ir/paper/368009/en

Vancouver: Copy

POURKAZEMI A., ALIZADEH NOUGHABI H., JOMHOORI S.. Entropy estimation using Bootstrap and Jackknife methods and its application in testing normality. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2020;13(2 ):0-0. Available from: https://sid.ir/paper/368009/en

IEEE: Copy

A. POURKAZEMI, H. ALIZADEH NOUGHABI, and S. JOMHOORI, “Entropy estimation using Bootstrap and Jackknife methods and its application in testing normality,” JOURNAL OF STATISTICAL SCIENCES, vol. 13, no. 2 , pp. 0–0, 2020, [Online]. Available: https://sid.ir/paper/368009/en

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