Rabu, 05 Juni 2013

[V827.Ebook] Ebook Free Business Forecasting (7th Edition), by John E. Hanke, Arthur G. Reitsch, Dean W. Wichern

Ebook Free Business Forecasting (7th Edition), by John E. Hanke, Arthur G. Reitsch, Dean W. Wichern

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Business Forecasting (7th Edition), by John E. Hanke, Arthur G. Reitsch, Dean W. Wichern

Business Forecasting (7th Edition), by John E. Hanke, Arthur G. Reitsch, Dean W. Wichern



Business Forecasting (7th Edition), by John E. Hanke, Arthur G. Reitsch, Dean W. Wichern

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Business Forecasting (7th Edition), by John E. Hanke, Arthur G. Reitsch, Dean W. Wichern

Managerial decision-making in approach, this book explores the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. Incorporates instructions on using Excel spreadsheets and the statistical package MINITAB to forecast, along with their appropriate output. Organizing Data and a Review of Statistical Concepts. Exploring Data Patterns and Choosing a Forecasting Technique. Moving Averages and Smoothing Methods. Time Series Analysis. Regression Analysis. Multiple Regression. Regression with Time Series Data. The Box-Jenkins (ARIMA) Methodology. Judgmental Forecasting and Other Forecasting Methods. Managing the Forecasting Process. For business managers interested in business forecasting techniques.

  • Sales Rank: #3169258 in Books
  • Published on: 2001-01-03
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.80" h x 1.00" w x 8.40" l, 2.51 pounds
  • Binding: Hardcover
  • 498 pages

From the Back Cover
Managerial decision-making in approach, this book explores the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. Incorporates instructions on using Excel spreadsheets and the statistical package MINITAB to forecast, along with their appropriate output. Organizing Data and a Review of Statistical Concepts. Exploring Data Patterns and Choosing a Forecasting Technique. Moving Averages and Smoothing Methods. Time Series Analysis. Regression Analysis. Multiple Regression. Regression with Time Series Data. The Box-Jenkins (ARIMA) Methodology. Judgmental Forecasting and Other Forecasting Methods. Managing the Forecasting Process. For business managers interested in business forecasting techniques.

Most helpful customer reviews

2 of 2 people found the following review helpful.
Surprisingly, a really good book
By Quality Plus
The book doesn't get a 5 because it doesn't refer to EViews for its procedures. Business forecasting is really difficult using just Excel. If any of you have ever created scatter plots with Excel, you know that it's a time consuming process. EViews is an extremely fast tool and this Business Forecasting book should include procedures for using EViews because that is the preferred tool used in Biz Forecasting classes.

I've had many statistics classes, and the explanation of statistics in this textbook is by far the best I have ever seen. The book is well written and about as clear as it is possible to make this difficult subject. Other people have complained about this textbook, and I would argue that the textbook is really good, but that the subject is just very difficult. If you don't have an excellent instructor, you will find yourself weeding around in the dark looking for direction. It is certainly possible to just follow the book, but it is sometimes not entirely clear why you are doing what you are doing. Again, not the fault of the textbook. Forecasting is inherently a very complex topic and you are going to be hurting without a good professor. Fortunately, I had a good one for my class. I had originally checked this textbook out of the library, but I found myself wanting to keep it as an excellent reference, so I bought my own copy.

3 of 3 people found the following review helpful.
Hard book to use
By Breauxjw
You are not buying this book because you want to.
But be warned, if you are not using Minitab for class, you will have to scour the Internet for Excel tips and tricks to make the lessons work out.
I found the font to be too small for many of the important points (some of the problems absolutely could not be worked without the exact reference to the fine print notes on pages below the examples). Why would you reduce the font size for the examples?
Working through the text was difficult due to inconsistent and poorly referenced greeks (rho means several different things in the book).
If you are an instructor, you should assign individual members of your statistics class the same case study topics throughout the course (stick with the same data set) to increase the richness of the experience. H&W apply the successive statistics topic to the same basic case study data sets from chapter to chapter.

I learned a lot - but the experience could have been better with more Excel, and more consistency, and better editing.

1 of 1 people found the following review helpful.
... related class and this book is by far the worst. Why would you use/reference methods
By Brian Moore
On my 4th stats related class and this book is by far the worst. Why would you use/reference methods, tests, or models from Chapter 9 in Chapter 2 and not provide explanation? Why would you give examples, but not explain all the steps? Why would you refer to mini tab outputs without providing instructions on how to accomplish them? This book does not follow the standard basic to challenging presentation of material. Instead, it jumps around and fails to truly explain the concepts. Texts is tiny - tough to read even with my glasses I typically don't need. Mr. Hanke - I recommend a new editor.

See all 10 customer reviews...

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