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Final multivariable negative binomial model describing variables associated with the number of cases reported during an outbreak.
Final multivariable negative binomial model describing variables associated with the number of cases reported during an outbreak.
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Figshare
2015-12-02 更新
2026-04-29 收录
疫情病例预测
二项式模型
数据链接:
https://figshare.com/articles/dataset/_Final_multivariable_negative_binomial_model_describing_variables_associated_with_the_number_of_cases_reported_during_an_outbreak_/393528
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资源简介:
n = 135; log-likelihood = −385.7.
应用场景:
创建时间:
2015-12-02
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Appendix A. SURVIV code for estimating the binomial mixture parameters p and P by maximum likelihood.
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SURVIV code for estimating the binomial mixture parameters p and P by maximum likelihood.
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Appendix E. Extensions of the binomial synchrony model: estimating a trend in the common random terms and dealing with autocorrelated random terms.
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Extensions of the binomial synchrony model: estimating a trend in the common random terms and dealing with autocorrelated random terms.
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Additional file 1 of Prediction and analysis of COVID-19 daily new cases and cumulative cases: times series forecasting and machine learning models
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Additional file 1. The results of predictive model.
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2024-02-29 更新
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Appendix D. Binomial model: four figures presenting Isle of May results for overall productivity.
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