PROSES INFERENSI PADA MODEL LOGIT

Rusgiyono, Agus (2008) PROSES INFERENSI PADA MODEL LOGIT. Media Statistika, 1 (2). pp. 91-98. 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 Keywords : 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:1391
Deposited By:Mr Hasbi Yasin
Deposited On:15 Oct 2009 15:41
Last Modified:15 Oct 2009 15:41

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