PROSES INFERENSI PADA MODEL LOGIT

Received: 12 Mar 2012; Published: 12 Mar 2012.
Open Access

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Section: Articles
Language: EN
Statistics: 339 138
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

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