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NIAID Data Ecosystem2026-03-08 收录
数据链接:
官方服务:
资源简介:
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:
2013-12-23



