TY - JOUR JF - JSS JO - JSS VL - 13 IS - 2 PY - 2020 Y1 - 2020/2/01 TI - Entropy Estimation Using Bootstrap and Jackknife Methods and its Application in Testing Normality TT - برآورد آنتروپی با روش‌های بوت‌استرپ و جک‌نایف و کاربرد آن در آزمون نرمال بودن N2 - 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. SP - 339 EP - 362 AU - Pourkazemi, Atefe AU - Alizadeh Noughabi, Hadi AU - Jomhoori, Sara AD - Department of Statistics, University of Birjand, Birjand, Iran. KW - Entropy KW - Bootstrap KW - Jackknife KW - Testing Normality KW - Test Power UR - http://jss.irstat.ir/article-1-556-en.html DO - 10.29252/jss.13.2.339 ER -