Regression coefficients of the chosen SARIMA models (with and without climatic predictors) on the monthly incidences of campylobacteriosis, salmonellosis, cryptosporidiosis and giardiasis in New Zealand.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Regression_coefficients_of_the_chosen_SARIMA_models_with_and_without_climatic_predictors_on_the_monthly_incidences_of_campylobacteriosis_salmonellosis_cryptosporidiosis_and_giardiasis_in_New_Zealand_/886016
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aCampylobacteriosis, log-likelihood = 23.63, AIC = –37.26.bSalmonellosis, log-likelihood = –20.37, AIC = 48.74.cCryptosporidiosis, log-likelihood = –78.53 AIC = 165.06.dGiardiasis, log-likelihood = 39.10 AIC = –68.20.eCampylobacteriosis, log-likelihood = 23.39, AIC = –34.79.fSalmonellosis, log-likelihood = –4.65, AIC = 29.31.gCryptosporidiosis, log-likelihood = –68.00, AIC = 154.00.hGiardiasis, log-likelihood = 39.48 AIC = –62.97.
创建时间：
2015-12-02
