Practical time series forecasting with R: (Record no. 200027)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02313nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260603103357.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260603b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780997847918 |
| -- | 0997847913 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 SHM-P |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Shmueli, Galit. |
| 245 ## - TITLE STATEMENT | |
| Title | Practical time series forecasting with R: |
| Remainder of title | a hands-on guide |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 232p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | ractical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications.<br/>The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data.<br/>Featuring improved organization and new material, the Second Edition also includes:<br/><br/>Popular forecasting methods including smoothing algorithms, regression models, and neural networks<br/>A practical approach to evaluating the performance of forecasting solutions<br/>A business-analytics exposition focused on linking time-series forecasting to business goals<br/>Guided cases for integrating the acquired knowledge using real data<br/>End-of-chapter problems to facilitate active learning<br/>A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | R program language |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer programming |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Time-series analysis. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Predictive analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Predictive analytics. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lichtendahl, Kenneth C., Jr. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books and Monographs |
| Full call number | Accession Number | Koha item type | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition |
|---|---|---|---|---|---|---|---|---|---|
| 005.133 SHM-P | 102875 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 20.05.2026 | Mumbai, TV Enterprises |