Proses inferensi pada model logit

Rusgiyono, Agus (2008) Proses inferensi pada model logit. Media Statistika, 1 (2). pp. 89-96. ISSN 1979-3693

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Abstract

Let represent the response on a nominal random variable of Bernoulli distribution, with , where is a parameter with unknown value. Problems of estimating used smallest square methods in linier regression model can overcome with used maximum likelihood method in logistic regression.. Suppose is maksimum likelihood estimstors of . In case can be obtained from first condition, ln(Ln(p)) to be maximum at point then be obtained and that is unbiased estimator because To be test hipothesis that , with a large sample size used fact that Keyword : Estimator, unbiased estimator, test statistic

Item Type:Article
Subjects:Q Science > Q Science (General)
Divisions:Faculty of Science and Mathematics > Department of Statistics
ID Code:32675
Deposited By:Mr Hasbi Yasin
Deposited On:30 Jan 2012 10:07
Last Modified:30 Jan 2012 10:07

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