Forecasting and predictive analytics: with ForecastX (Record no. 2054)
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000 -LEADER | |
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fixed length control field | 02152nam a22002417a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220316171608.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220316b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789390219452 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 338.5442 |
Item number | KET |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Keating, Barry |
245 ## - TITLE STATEMENT | |
Title | Forecasting and predictive analytics: with ForecastX |
250 ## - EDITION STATEMENT | |
Edition statement | 7th |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | McGraw Hill Education (India) Pvt. Ltd. |
Place of publication, distribution, etc. | Chennai |
Date of publication, distribution, etc. | 2022 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xviii, 539 p. |
365 ## - TRADE PRICE | |
Price type code | INR |
Price amount | 725.00 |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Chapter 1 Introduction to Business Forecasting and Predictive Analytics<br/>Chapter 2 The Forecast Process, Data Considerations, and Model Selection <br/>Chapter 3 Extrapolation 1. Moving Averages and Exponential Smoothing <br/>Chapter 4 Extrapolation 2. Introduction to Forecasting with Regression Trend Models <br/>Chapter 5 Explanatory Models 1. Forecasting with Multiple Regression Causal Models<br/>Chapter 6 Explanatory Models 2. Time-Series Decomposition<br/>Chapter 7 Explanatory Models 3. ARIMA (Box-Jenkins) Forecasting Models<br/>Chapter 8 Predictive Analytics: Helping to Make Sense of Big Data<br/>Chapter 9 Classification Models: The Most Used Models in Analytics<br/>Chapter 10 Ensemble Models and Clustering<br/>Chapter 11 Text Mining<br/>Chapter 12 Forecast/Analytics Implementation |
520 ## - SUMMARY, ETC. | |
Summary, etc. | OVERVIEW<br/><br/><br/>The seventh edition of Forecasting and Predictive Analytics with ForecastX⢠builds on the success of the previous editions. While a number of significant changes have been made in this edition, it remains a book about prediction methods for managers, forecasting practitioners, data scientists, and students aspiring to become business professionals and have a need to understand practical issues related to prediction in all its forms. The text is designed to lead through the most helpful techniques in any prediction effort. Most of the examples in the book are based on actual historical data and the techniques are explained as procedures that users may replicate with their own data. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Business forecasting |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Wilson, J. Holton |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Chowdhury, Shovan |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | John Galt Solutions, Inc |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
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 | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | Public Policy & General Management | 31700 | 07-03-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 03/16/2022 | University Book House Pvt. Ltd. | 507.50 | 338.5442 KEA | 002218 | 03/16/2022 | 1 | 725.00 | 03/16/2022 | Book |