{"id":27916,"date":"2019-10-09T12:49:36","date_gmt":"2019-10-09T09:49:36","guid":{"rendered":"http:\/\/ihcoedu.uobaghdad.edu.iq\/?p=27916"},"modified":"2019-10-09T13:20:53","modified_gmt":"2019-10-09T10:20:53","slug":"%d9%82%d8%b3%d9%85-%d8%a7%d9%84%d8%b1%d9%8a%d8%a7%d8%b6%d9%8a%d8%a7%d8%aa-%d9%8a%d9%86%d8%a7%d9%82%d8%b4-%d8%a7%d8%b7%d8%b1%d9%88%d8%ad%d8%a9-%d8%af%d9%83%d8%aa%d9%88%d8%b1%d8%a7%d9%87-%d8%aa%d8%a8-2","status":"publish","type":"post","link":"https:\/\/ihcoedu.uobaghdad.edu.iq\/?p=27916","title":{"rendered":"\u0642\u0633\u0645 \u0627\u0644\u0631\u064a\u0627\u0636\u064a\u0627\u062a \u064a\u0646\u0627\u0642\u0634 \u0627\u0637\u0631\u0648\u062d\u0629 \u062f\u0643\u062a\u0648\u0631\u0627\u0647 \u062a\u0628\u062d\u062b \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0645\u0648\u064a\u062c\u0629 \u0641\u064a \u062a\u0642\u062f\u064a\u0631 \u062f\u0627\u0644\u0629 \u0627\u0644\u062e\u0637\u0648\u0631\u0629"},"content":{"rendered":"

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    \n

    Non parametric Estimation of Hazard Function by Using Wavelet Transformation<\/span><\/h3>\n

    By Ali Talib Mohammed<\/span><\/h3>\n

    Supervised by Iden Hassan Hussein<\/span><\/h3>\n

    Abstract<\/span><\/h3>\n

    \u00a0The main objective of this thesis is to use wavelets in estimating the Hazard rate function, where the estimation algorithm consists of two main parts, including the first estimate of the probability density function f(x) and the second estimate of the survival function s(x). The structure of the algorithm will rely on the projection property of the father wavelet function \u00a0on the subspace \u00a0of Lebesgue spaces. The data type is an important factor in the estimation process so data will be used is randomly right censoring data. Real and simulation applications will be used; in fact three real and two simulation applications are going to use to estimate the hazard rate function. Finally, the global main error (MSE) will be applicate to comparing between the result values.<\/span><\/h3>\n","protected":false},"excerpt":{"rendered":"

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