hey aku disini show_detail U. S. Pasaribu Primary Author H. Husniah Primary Author W. F. Adnan Primary Author mixed material bibliography 2020 monographic en English

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Abstract Along with the development of information, science and technology, there is a quite popular developing resampling method, namely bootstrapping. Bootstrap estimates asymptotically against its original value (observation). Thus, the greater bootstrap replication, the resample distribution will be normally distributed. It indicates that the bootstrap estimator gives better results. Based on the goodness-of-fit test by using Kolmogorov-Smirnov test, the severity on fire insurance data follow Weibull 2 parameter distribution. A case study is conducted on reinsurance company’s data for shopping centre’s fire. It is a big data. Since it is a reinsurance company’s data, the data completeness may be inadequate. It causes the severity claim to be processed using semiparametric bootstrap. 600 Repository Fakultas Teknik Sistem Repository Elektronik Skripsi dan Penelitian Dosen Fakultas Teknik 658 HEN p JITI.016.2020 My Library 658 HEN p Premium estimation in the fire insurance through semiparametric bootstrap Cover_-_34._Premium_Estimation_In_The_Fire_Insurance_Through_Semiparametric_Bootstrap.png.png 1001 2023-02-02 14:50:16 2023-03-27 20:22:23 machine generated