PROSES INFERENSI PADA MODEL LOGIT
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...
| Main Author: | |
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| Format: | Article |
| Language: | English |
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Universitas Diponegoro
2008-12-01
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| Series: | Media Statistika |
| Online Access: | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/2608 |
| _version_ | 1818266319531802624 |
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| author | Agus Rusgiyono |
| author_facet | Agus Rusgiyono |
| author_sort | Agus Rusgiyono |
| collection | DOAJ |
| description | 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 |
| first_indexed | 2024-12-12T20:04:49Z |
| format | Article |
| id | doaj.art-49b56d07152a4e3395d8e43465125a59 |
| institution | Directory Open Access Journal |
| issn | 1979-3693 2477-0647 |
| language | English |
| last_indexed | 2024-12-12T20:04:49Z |
| publishDate | 2008-12-01 |
| publisher | Universitas Diponegoro |
| record_format | Article |
| series | Media Statistika |
| spelling | doaj.art-49b56d07152a4e3395d8e43465125a592022-12-22T00:13:40ZengUniversitas DiponegoroMedia Statistika1979-36932477-06472008-12-0112919810.14710/medstat.1.2.91-982268PROSES INFERENSI PADA MODEL LOGITAgus RusgiyonoLet 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 statistichttps://ejournal.undip.ac.id/index.php/media_statistika/article/view/2608 |
| spellingShingle | Agus Rusgiyono PROSES INFERENSI PADA MODEL LOGIT Media Statistika |
| title | PROSES INFERENSI PADA MODEL LOGIT |
| title_full | PROSES INFERENSI PADA MODEL LOGIT |
| title_fullStr | PROSES INFERENSI PADA MODEL LOGIT |
| title_full_unstemmed | PROSES INFERENSI PADA MODEL LOGIT |
| title_short | PROSES INFERENSI PADA MODEL LOGIT |
| title_sort | proses inferensi pada model logit |
| url | https://ejournal.undip.ac.id/index.php/media_statistika/article/view/2608 |
| work_keys_str_mv | AT agusrusgiyono prosesinferensipadamodellogit |