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Harison '
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CADANGAN PREMI DENGAN METODE CANADIAN PADA ASURANSI JIWA BERJANGKA Ike Ruliysmawati Khoirunnisa; Hasriati '; Harison '
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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This article discusses the prospective reserve of term life insurance of the Canadian method. The method gives the extend of modified period over the entire premium payment period. Term life insurance reserve calculation is solved by determination of the single premium, annual premium, and annuity based on the assumption of constant force in advance. 
PENAKSIR RASIO REGRESI LINEAR SEDERHANA UNTUK RATA-RATA POPULASI MENGGUNAKANKARAKTER TAMBAHAN Astari Rahmadita; Harison '; Haposan Sirait
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Estimators discussed here are three regression ratio estimators of population mean Y using information on two auxiliary variables Xdan Z under simple random sampling without replacement. They are proposed bySingh, Upadhyaya and Premchandra [4] which is a review of the article “An Improved Version of Regression Ratio Estimator with Two Auxiliary Variables in Sample Surveys.” All estimatorsare biased. The efficient estimator is one with the smallest Mean Square Error (MSE), determined by comparing each type of estimator.
PENAKSIR UNTUK RASIO POPULASI DENGAN MENGGUNAKAN TRANSFORMASI VARIABEL Putri Rizqiyah; Harison '; Sigit Sugiarto
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 2, No 1 (2015): Wisuda Februari 2015
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Estimators discussed in this paper are three estimators for population ratio using variable transformation, i.e estimator of population ratio using dual variable, regression-type estimator of population ratio, and ratio-type estimator of population ratio, which is a review from the article of Onyeka et.al [Global Journal of Science Frontier Research13(2013):57-65]. The three estimators are biased estimators. The most efficient estimator is the one that has the smallest mean square error obtained by comparing the mean square error of each estimator. An example is given at the end of the discussion.
MODEL SELEKSI PREMI ASURANSI JIWA DWIGUNA UNTUK KASUS MULTIPLE DECREMENT Devi Ramana Cita; Rolan Pane; Harison '
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 2, No 1 (2015): Wisuda Februari 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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This article discusses a select survival model for the case of multiple decrements in evaluating endowment life insurance premium for person currently aged ( + ) years, who is selected at age with ℎ years selection period. The case of multiple decrements in this case is limited to two cases. The calculation of the annual premium is done by prior evaluating of the single premium, and the present value of annuity depends on theconstant force assumption.
PENAKSIR RASIO REGRESI LINEAR YANG EFISIEN UNTUK RATA-RATA POPULASI DENGAN MENGGUNAKAN DUA VARIABEL TAMBAHAN Edi Jamilun; Harison '; Haposan Sirait
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

This paper discusses three ratio regression linear estimators by Singh, Upadhyaya  and Premchandra for population mean Y using two auxiliary variables X and Z on simple random sampling which is a review of article “An Improved Version of Regression Ratio Estimator with Two auxiliary Variables in Sample Surveys”. The three estimators are biased then the minimum of the (MSE) is determined. Furthermore, their MSE are compared to each other. This comparison shows that the estimator with the minimum MSE is the most efficiensi estimator.  
PENAKSIR RASIO REGRESI LINEAR UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA TANPA PENGEMBALIAN Putri Susanti; Arisman Adnan; Harison '
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 2, No 1 (2015): Wisuda Februari 2015
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Abstract

"> In this article we review three linear regression ratio estimators for the population mean on simple random sampling without replacement proposed by Singh et al. [Statistics in10 (2009) : 85 - 100 Transition, ]. These estimators are biased estimators and their mean square error are determined. The estimator with the smallest mean square error is the most efficient one. We apply these estimators to show the efficiencies of examples.
Co-Authors Arisman Adnan Astari Rahmadita Devi Ramana Cita Edi Jamilun Haposan Sirait Hasriati Hasriati Ike Ruliysmawati Khoirunnisa Putri Rizqiyah Putri Susanti Rolan Pane Sigit Sugiarto