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Pearson-type goodness-of-fit test with bootstrap maximum likelihood estimation
The Pearson test statistic is constructed by partitioning the data into bins and computing the difference between the observed and expected counts in these bins. If the maximum likelihood estimator (MLE) of the original data is used, the statistic generally does not follow a chi-squared distribution...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3664432/ https://ncbi.nlm.nih.gov/pubmed/23720703 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/13-EJS773 |
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