| dc.contributor |
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|
| dc.contributor |
|
|
| dc.creator |
Tira, Tira |
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| dc.creator |
Wachidah, Lisnur |
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| dc.creator |
Hajarisman, Nusar |
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| dc.date |
2017-08-11 |
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| dc.identifier |
http://karyailmiah.unisba.ac.id/index.php/statistika/article/view/8581 |
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| dc.description |
In this thesis is explained about the testing of the new distribution fit that is the negative-Lindley binomial distribution proposed by Zamani and Ismail (2010) on the frequency data of motor vehicle insurance claims in Indonesia. Lindley's negative-binomial distribution depends on two parameters: r> 0 and θ> 0. This distribution has the highest Pr (X = 0) value of each parameter value r and θ so it is assumed to be able to handle overdispersion problems and solve the problem if the number of frequencies (X = 0) is very large. The parameters of Lindley's negative-binomial distribution can only be estimated using numerical methods, such as the Newton-Raphson method. The distribution fit test was performed using chi-square test. The data used is secondary data of motor vehicle insurance result of recording obtained from the Ministry of Finance in 2009-2010. The results show that Lindley's binomial distribution is suitable for modeling the frequency data of motor vehicle category 1 insurance claims in Indonesia. |
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| dc.description |
Dalam skripsi ini dijelaskan mengenai pengujian kecocokan distribusi baru yaitu distribusi binomial negatif-Lindley yang dikemukakan oleh Zamani dan Ismail (2010) pada data frekuensi klaim asuransi kendaraan bermotor di Indonesia. Distribusi binomial negatif-Lindley bergantung kepada dua parameter yaitu r > 0 dan θ > 0 . Distribusi ini mempunyai nilai Pr(X=0) yang selalu terbesar di setiap nilai parameter r dan θ sehingga diasumsikan mampu menangani masalah overdispersi dan mengatasi masalah jika jumlah frekuensi (X=0) yang sangat banyak. Parameter-parameter dari distribusi binomial negatif-Lindley hanya dapat ditaksir dengan menggunakan metode numerik, seperti metode Newton-Raphson. Pengujian kecocokan distribusi dilakukan menggunakan uji chi-kuadrat. Data yang digunakan adalah data sekunder asuransi kendaraan bermotor hasil pencatatan yang diperoleh dari Kementerian Keuangan pada tahun 2009-2010. Hasil perhitungan menunjukkan bahwa distribusi binomial negatif-Lindley cocok untuk memodelkan data frekuensi klaim asuransi kendaraan bermotor kategori 1 di Indonesia. |
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| dc.format |
application/pdf |
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| dc.language |
ind |
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| dc.publisher |
Universitas islam Bandung |
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| dc.relation |
http://karyailmiah.unisba.ac.id/index.php/statistika/article/view/8581/pdf |
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| dc.rights |
Copyright (c) 2017 Prosiding Statistika |
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| dc.source |
Prosiding Statistika; Vol 3, No 2, Prosiding Statistika (Agustus, 2017); 186-193 |
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| dc.source |
Prosiding Statistika; Vol 3, No 2, Prosiding Statistika (Agustus, 2017); 186-193 |
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| dc.source |
2460-6456 |
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| dc.subject |
Statistics |
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| dc.subject |
Motor Vehicle Insurance, Negative Binomial Distribution-Lindley, Chi Square Test, Newton-Raphson Method |
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| dc.subject |
Statistika |
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| dc.subject |
Asuransi Kendaraan Bermotor, Distribusi Binomial Negatif-Lindley, Uji Chi- kuadrat, Metode Newton-Raphson |
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| dc.title |
Binomial Negative-Lindley Distribution in the Frequency Data of Automotive Motor Vehicles Claim in Indonesia |
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| dc.title |
Distribusi Binomial Negatif-Lindley Pada Data Frekuensi Klaim Asuransi Kendaraan Bermotor di Indonesia |
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| dc.type |
info:eu-repo/semantics/article |
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| dc.type |
info:eu-repo/semantics/publishedVersion |
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| dc.type |
Peer-reviewed Article |
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| dc.type |
Quantitative |
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| dc.type |
Kuantitatif |
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