Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals with a background in multivariate statistics.
Highlighting linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models. Also included are several solved case studies and exercises from the fields of mining, ore genesis, earthquakes, and climatology.
Highlighting linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models. Also included are several solved case studies and exercises from the fields of mining, ore genesis, earthquakes, and climatology.
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格式 EPUB ● 网页 294 ● ISBN 9781000445824 ● 出版者 CRC Press ● 发布时间 2021 ● 下载 3 时 ● 货币 EUR ● ID 7879879 ● 复制保护 Adobe DRM
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