Penaksiran parameter distribusi weibull menggunakan metode penaksiran bayes dengan beberapa distribusi prior yang berbeda

Aryani, Heni (2013) Penaksiran parameter distribusi weibull menggunakan metode penaksiran bayes dengan beberapa distribusi prior yang berbeda. Diploma thesis, UIN Sunan Gunung Djati Bandung.

[img]
Preview
Text (COVER)
1_cover.pdf

Download (107kB) | Preview
[img]
Preview
Text (ABSTRAK)
2_abstrak.pdf

Download (212kB) | Preview
[img]
Preview
Text (DAFTAR ISI)
3_daftarisi.pdf

Download (110kB) | Preview
[img]
Preview
Text (BAB I)
BAB I.pdf

Download (172kB) | Preview
[img] Text (BAB II)
BAB II.pdf
Restricted to Registered users only

Download (198kB)
[img] Text (BAB III)
BAB III.pdf
Restricted to Registered users only

Download (214kB)
[img] Text (BAB IV)
BAB IV.pdf
Restricted to Registered users only

Download (183kB)
[img] Text (BAB V)
BAB V.pdf
Restricted to Registered users only

Download (110kB)
[img] Text (DAFTAR PUSTAKA)
5_daftarpustaka.pdf
Restricted to Registered users only

Download (107kB)

Abstract

Weibull distribution is one of continuous probability distribution that used to deal with reliability and lifetime of a component such as the time until the faulty component is measured from a certain time until breaks. Weibull distribution are discussed in this paper is two-parameter Weibull distribution, that is α (scale parameter) and β (shape parameter). Assessment is using Bayes estimation method used by the prior distribution is Uniform distribution, Exponential distribution, Gompertz distribution and Gamma distribution. Research and simulations were performed the estimated value for each different prior distributions and the comparison of the estimated value by the MSE (means squared error).

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Weibull distribution; Bayes estimation method; the prior distribution; the posterior distribution;
Subjects: Mathematics
Mathematics > Data Processing and Analysis of Mathematics
Divisions: Fakultas Sains dan Teknologi > Program Studi Matematika
Depositing User: Users 11 not found.
Date Deposited: 11 Feb 2016 04:43
Last Modified: 30 Jul 2019 02:25
URI: https://digilib.uinsgd.ac.id/id/eprint/358

Actions (login required)

View Item View Item