作者: A. Shirvani
DOI: 10.1007/S00704-015-1625-5
关键词: Series (mathematics) 、 Normal distribution 、 Sea surface temperature 、 Nonparametric statistics 、 Parametric statistics 、 Point (geometry) 、 Statistics 、 Mathematics 、 Change detection 、 Advanced very-high-resolution radiometer
摘要: In this study, the Student’s t parametric and Mann-Whitney nonparametric change point models (CPMs) were applied to detect in annual Persian Gulf sea surface temperature anomalies (PGSSTA) time series for period 1951–2013. The PGSSTA series, which serially correlated, transformed produce an uncorrelated pre-whitened series. utilized as input file of models. Both CPMs estimated 1992. follow normal distribution up 1992 thereafter, but with a different mean value after year slope linear trend 1951–1992 was negative; however, that positive detected point. Unlike PGSSTA, suggested no Nino3.4SSTA