Tuesday, May 28, 2013

Business Forecasting 9th Edition, John Hanke and Wichern


Business Forecasting 9th Edition PDF Download Ebook. John E. Hanke and Dean Wichern describe the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. Written in a simple, straightforward style and making extensive use of practical business examples, the book includes many cases that provide readers with the necessary link between theoretical concepts and their real-world applications.

Readers should have a basic knowledge of statistics and be familiar with computer applications such as word processing and spreadsheets. The book first presents background material such as the nature of forecasting and a quick review of basic statistical concepts; proceeds with the exploration of data patterns and choosing a forecasting technique; covers averaging the smoothing techniques and time series decomposition; emphasizes causal forecasting techniques such as correlation, regression, and multiple regression analysis; and concludes with judgmental forecasting and forecast adjustments.

Managerial decision-making in approach, this book explores the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. It incorporates instructions on using Excel spreadsheets and the statistical package MINITAB to forecast, along with their appropriate output. It is useful as a reference for students and professionals with job titles including: forecasting manager, marketing manager, production manager, and analyst.

All chapters in this edition have been revised to enhance the clarity of the writing and increase teaching and learning effectiveness. Six sections have been constructed which include background material on the nature of forecasting and a quick review of statistical concepts, the exploration ofdata patterns, averaging, smoothing techniques, and an introduction to time series decomposition in terms of underlying components.

There are causal forecasting techniques with judgmental forecasting and managing the forecasting process. The authors have tried several different approaches to help faculty and students use the computer for forecasting.

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