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Fundamentals of Forecasting Using Excel, by Kenneth Lawrence
Download Ebook Fundamentals of Forecasting Using Excel, by Kenneth Lawrence
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Forecasting is an integral part of almost all business enterprises. This book provides readers with the tools to analyze their data, develop forecasting models and present the results in Excel. Progressing from data collection, data presentation, to a step-by-step development of the forecasting techniques, this essential text covers techniques that include but not limited to time series-moving average, exponential smoothing, trending, simple and multiple regression, and Box-Jenkins. And unlike other products of its kind that require either high-priced statistical software or Excel add-ins, this book does not require such software. It can be used both as a primary text and as a supplementary text.
- Highlights the use of Excel screen shots, data tables, and graphs.
- Features Full Scale Use of Excel in Forecasting without the Use of Specialized Forecast Packages
- Includes Excel templates.
- Emphasizes the practical application of forecasting.
- Provides coverage of Special Forecasting, including New Product Forecasting, Network Models Forecasting, Links to Input/Output Modeling, and Combination of Forecasting.
- Sales Rank: #907694 in Books
- Brand: Brand: Industrial Press, Inc.
- Published on: 2009-01-01
- Original language: English
- Number of items: 1
- Dimensions: 10.90" h x .70" w x 8.30" l, 1.15 pounds
- Binding: Paperback
- 300 pages
- Used Book in Good Condition
Most helpful customer reviews
7 of 9 people found the following review helpful.
Below par in application and theory
By Aroon Jham
Here's this book in a nutshell. "It tries to cover forecasting techniques theories while using a basic tool like excel, but in doing so it doesnt do justice to either theory OR excel".
The book is "ok" until simple linear regression, and after that it does no justice to theory and barely uses any excel. To give an example, I didnt see any excel based examples for multiple regression even though ANOVA is a feature under data analysis in excel and ANOVA was covered by the author (at least in theory) ... net, the author fails in application and even the theory was under par.
I was reading this book to decide if it can be recommended for a small business owner who may not have the budget for expensive analytical tools such as SAS or SPSS. If you are building your forecast based on time series analysis, then this book may have some value to offer ... but if you are looking to forecast based on independent variables other than time, then you've got to look elsewhere.
0 of 0 people found the following review helpful.
This is a good book to help forecasters learn the very basics of ...
By _Code_
This is a good book to help forecasters learn the very basics of the skill in excel. However, I was looking for a more in-depth explanation of the box-Jenkins forecasting method ARIMA process. Specifically, how to construct an MA(1), MA(2),... The book did not meet my expectations.
0 of 0 people found the following review helpful.
Good basic excel concepts
By Joe J.
I am still reading through the book but it has helped me apply some of the concepts as it has described in the book description. The accompanying cd is useful.
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