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Applied Time Series Analysis and Forecasting with Python

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied Time Series Analysis and Forecasting with Python/ by Changquan Huang, Alla Petukhina.
作者:	Huang, Changquan.
其他作者:	Petukhina, Alla.
面頁冊數:	X, 372 p. 249 illus., 246 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics in Business, Management, Economics, Finance, Insurance. -
電子資源:	https://doi.org/10.1007/978-3-031-13584-2
ISBN:	9783031135842

Applied Time Series Analysis and Forecasting with Python
Huang, Changquan.

Applied Time Series Analysis and Forecasting with Python[electronic resource] /by Changquan Huang, Alla Petukhina. - 1st ed. 2022. - X, 372 p. 249 illus., 246 illus. in color.online resource. - Statistics and Computing,2197-1706. - Statistics and Computing,.

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.

ISBN: 9783031135842

Standard No.: 10.1007/978-3-031-13584-2doiSubjects--Topical Terms:

1366003
Statistics in Business, Management, Economics, Finance, Insurance.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Applied Time Series Analysis and Forecasting with Python
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