Open AccessTrend change estimation for interrupted time series with heteroscedastic and autocorrelated errors: application in syphilis occurrences in Brazil
Author(s) -
Eniuce Menezes de Souza,
Dário Sodré,
Isabella Harumi Yonehara Noma,
Cinthia Akemi Tanoshi,
Raíssa Bocchi Pedroso
Publication year - 2022
Publication title -
acta scientiarum. technology/acta scientiarum. technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.183
H-Index - 17
eISSN - 1807-8664
pISSN - 1806-2563
DOI - 10.4025/actascitechnol.v44i1.59513
Subject(s) - heteroscedasticity , autocorrelation , statistics , econometrics , linear model , linear regression , variance (accounting) , time series , series (stratigraphy) , interrupted time series , mathematics , economics , psychology , paleontology , accounting , psychiatry , psychological intervention , biology