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Practical Time Series Forecasting: A - Paperback, by Shmueli Galit - Very Good
US $7.58
Condition:
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections.
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eBay item number:405074495488
Item specifics
- Condition
- Type
- Textbook
- ISBN
- 9781468053456
- Book Title
- Practical Time Series Forecasting : a Hands-On Guide
- Publisher
- CreateSpace
- Item Length
- 10 in
- Edition
- 2
- Publication Year
- 2012
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.5 in
- Genre
- Business & Economics
- Topic
- Forecasting
- Item Weight
- 16.2 Oz
- Item Width
- 7 in
- Number of Pages
- 202 Pages
About this product
Product Identifiers
Publisher
CreateSpace
ISBN-10
1468053450
ISBN-13
9781468053456
eBay Product ID (ePID)
111938604
Product Key Features
Edition
2
Book Title
Practical Time Series Forecasting : a Hands-On Guide
Number of Pages
202 Pages
Language
English
Topic
Forecasting
Publication Year
2012
Genre
Business & Economics
Format
Trade Paperback
Dimensions
Item Height
0.5 in
Item Weight
16.2 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Intended Audience
Trade
Synopsis
Practical Time Series Forecasting is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting is an important component of decision making in a wide range of areas and across many business functions including economic forecasting, workload projections, sales forecasts, and transportation demand. Forecasting is widely used also outside of business, such as in demography and climatology. The book introduces readers to the most popular statistical models and data mining algorithms used in practice. It covers issues relating to different steps of the forecasting process, from goal definition through data collection, visualization, pre-processing, modeling, performance evaluation to implementation and communication. The second edition offers a large amount of new content and improved organization. Practical Time Series Forecasting is suitable for courses on forecasting at the upper-undergraduate and graduate levels. It offers clear explanations, examples, end-of-chapter problems and a case. Methods are illustrated using XLMiner, an Excel add-on. However, any software that has time series forecasting capabilities can be used with the book. A companion website to the book is available at www.ForecastingBook.com
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