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DC Field | Value | Language |
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dc.contributor.author | Nja, M. E. | - |
dc.contributor.author | Enang, E. I. | - |
dc.contributor.author | Chukwu, A. U. | - |
dc.contributor.author | Udomboso, C. G. | - |
dc.date.accessioned | 2021-05-25T09:43:52Z | - |
dc.date.available | 2021-05-25T09:43:52Z | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 1994-5388 | - |
dc.identifier.other | ui_art_nja_alternative_2011 | - |
dc.identifier.other | Journal of Modern Mathematics and Statistics 5(2), pp. 43-46 | - |
dc.identifier.uri | http://ir.library.ui.edu.ng/handle/123456789/5327 | - |
dc.description.abstract | The Deviance and the Pearson chi-square are two traditional goodness-of-fit tests in generalized linear models for which the logistic model is a special case. The effort involved in the computation of either the Deviance or Pearson chi-square statistic is enormous and this provides a reason for prospecting an alternative goodness-of-fit test in logistic regression models with discrete predictor variables. The Deviance is based on the log likelihood function while the Pearson chi-square derives from the discrepancies between observed and predicted counts. Replacing observed and predicted counts with observed proportions and predicted probabilities, respectively in a cross-classification data arrangement, the standard error of estimate is proposed as an alternative goodness-of-fit test in logistic regression models. The illustrative example returns favourable comparisons with Deviance and the Pearson chi-square statistics. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Medwell Journals | en_US |
dc.subject | Deviance | en_US |
dc.subject | Pearson chi-square | en_US |
dc.subject | Standard error | en_US |
dc.subject | Observed proportions | en_US |
dc.subject | Predicted probabilities | en_US |
dc.subject | p value | en_US |
dc.subject | Nigeria | en_US |
dc.title | Alternative goodness-of-fit test in logistic regression models | en_US |
dc.type | Article | en_US |
Appears in Collections: | Scholarly works |
Files in This Item:
File | Description | Size | Format | |
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(14) ui_art_nja_alternative_2011.pdf | 485.26 kB | Adobe PDF | View/Open |
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