PUTRI, JULISTRIA (2015) ESTIMASI PARAMETER DISTRIBUSI WEIBULL 2 PARAMETER MENGGUNAKAN METODE LINEARISASI (METODE DERET TAYLOR). S1 thesis, Universitas Mataram.
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Abstract
Parameter estimation is a procedure to find the parameters of a model that is best suited to an existing observational data. In estimating parameters the Weibull distribution 2 parameters, probability density function (pdf) an be seen as a regression model with the form of nonlinear equations, so the distribution parameter estimation synonymous with nonlinear regression parameter estimates. The method used to estimate the parameters of nonlinear regression model is a method of linearization (Taylor series method). The purpose of this study was to estimate and implement them in modeling largest wind speed data per month in NTB. Based on analysis result that have been done, a nonlinear regression parameter estimation using linearization method (Taylor series method) obtained value of the parameter � � = 4.4779 and � = 17.7524 with MSE = 0.00269 and � = 0.99216. Obtained models with nonlinear regression equation as follows � �� = 4.4779 17.7524�.���� �� �.���� ��� �−� �� 17.7524 � �.����
| Item Type: | Thesis (S1) |
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| Keywords (Kata Kunci): | Parameter estimation, 2 parameter Weibull distribution, nonlinear regression, linearization method (Taylor series method). |
| Subjects: | S Agriculture > S Agriculture (General) |
| Divisions: | Fakultas Matematika dan ilmu Pengetahuan Alam |
| Depositing User: | Saprudin Saprudin |
| Date Deposited: | 10 Oct 2018 01:17 |
| Last Modified: | 10 Oct 2018 01:17 |
| URI: | http://eprints.unram.ac.id/id/eprint/8454 |
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