Forecasting and predictive analytics: with ForecastX (Record no. 2054)

MARC details
000 -LEADER
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
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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
Holdings
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
    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

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