Empirical distributions of parameter estimates in binary logistic regression using bootstrap
Bootstrapping is a famous statistical tool that involves resampling procedure to select sample from a population. In this study, we applied random-x bootstrap in binary logistic regression for published data set namely Umaru Impact data. We conducted bootstrap for the coefficient by using SAS (Stati...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hikari
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/37433/ http://psasir.upm.edu.my/id/eprint/37433/1/Empirical%20Distributions%20of%20Parameter%20Estimates.pdf |
| _version_ | 1848848605728735232 |
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| author | Fitrianto, Anwar Ng, Mei Cing |
| author_facet | Fitrianto, Anwar Ng, Mei Cing |
| author_sort | Fitrianto, Anwar |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Bootstrapping is a famous statistical tool that involves resampling procedure to select sample from a population. In this study, we applied random-x bootstrap in binary logistic regression for published data set namely Umaru Impact data. We conducted bootstrap for the coefficient by using SAS (Statistical Analysis System). We observe the distribution of the estimated coefficients with different sample sizes. After conducting B=10000 bootstrap replications, we found that the distribution of parameters estimates is nearly normal. |
| first_indexed | 2025-11-15T09:37:10Z |
| format | Article |
| id | upm-37433 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:37:10Z |
| publishDate | 2014 |
| publisher | Hikari |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-374332015-09-15T10:10:23Z http://psasir.upm.edu.my/id/eprint/37433/ Empirical distributions of parameter estimates in binary logistic regression using bootstrap Fitrianto, Anwar Ng, Mei Cing Bootstrapping is a famous statistical tool that involves resampling procedure to select sample from a population. In this study, we applied random-x bootstrap in binary logistic regression for published data set namely Umaru Impact data. We conducted bootstrap for the coefficient by using SAS (Statistical Analysis System). We observe the distribution of the estimated coefficients with different sample sizes. After conducting B=10000 bootstrap replications, we found that the distribution of parameters estimates is nearly normal. Hikari 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37433/1/Empirical%20Distributions%20of%20Parameter%20Estimates.pdf Fitrianto, Anwar and Ng, Mei Cing (2014) Empirical distributions of parameter estimates in binary logistic regression using bootstrap. International Journal of Mathematical Analysis, 8 (15). pp. 721-726. ISSN 1312-8876; ESSN: 1314-7579 http://www.m-hikari.com/ijma/ijma-2014/ijma-13-16-2014/fitriantoIJMA13-16-2014-2.pdf 10.12988/ijma.2014.4394 |
| spellingShingle | Fitrianto, Anwar Ng, Mei Cing Empirical distributions of parameter estimates in binary logistic regression using bootstrap |
| title | Empirical distributions of parameter estimates in binary logistic regression using bootstrap |
| title_full | Empirical distributions of parameter estimates in binary logistic regression using bootstrap |
| title_fullStr | Empirical distributions of parameter estimates in binary logistic regression using bootstrap |
| title_full_unstemmed | Empirical distributions of parameter estimates in binary logistic regression using bootstrap |
| title_short | Empirical distributions of parameter estimates in binary logistic regression using bootstrap |
| title_sort | empirical distributions of parameter estimates in binary logistic regression using bootstrap |
| url | http://psasir.upm.edu.my/id/eprint/37433/ http://psasir.upm.edu.my/id/eprint/37433/ http://psasir.upm.edu.my/id/eprint/37433/ http://psasir.upm.edu.my/id/eprint/37433/1/Empirical%20Distributions%20of%20Parameter%20Estimates.pdf |