Applied time series analysis and forecasting with python (Record no. 7547)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01860nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241108121851.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241108b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031135866 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.55 |
| Item number | HUA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Huang, Changquan |
| 245 ## - TITLE STATEMENT | |
| Title | Applied time series analysis and forecasting with python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Springer |
| Place of publication, distribution, etc. | Switzerland |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 372 p. |
| 365 ## - TRADE PRICE | |
| Price type code | EURO |
| Price amount | 25.20 |
| 490 ## - SERIES STATEMENT | |
| Series statement | Statistics and Computing |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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 equallyappeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.<br/><br/>(https://link.springer.com/book/10.1007/978-3-031-13584-2) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mathematics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Time-series analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Petukhina, Alla |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
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| Dewey Decimal Classification | Operations Management & Quantitative Techniques | COR/IN/25/6570 | 25-10-2024 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 11/08/2024 | CBS Publishers & Distributors Pvt. Ltd. | 1592.14 | 1 | 1 | 519.55 HUA | 006363 | 01/04/2025 | 12/05/2024 | 1 | 2449.44 | 11/08/2024 | Book |