The eighth edition of Business Forecasting presents 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 fifty-three 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. Useful as a reference for professionals with titles such as: forecasting manager, marketing manager, production manager, and analyst.

Business Forecasting

Business & Money

Wichern, Dean W.

Hanke, John E.

Economics

PRENTICE/HALL

Appropriate for junior/senior and graduate level courses in Forecasting found in Economics or Statistics departments.This top-selling text presents, in a straightforward, application-driven manner, the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. The emphasis is on the application of techniques by managers for decision-making.

Business Forecasting (6th Edition)

Reitsch, Arthur G.

Management & Leadership

Pearson College Div

Business forecasting

Allyn and Bacon

Statistical Decision Models for Management

Allyn&Bacon

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.

Reitsch, Arthur A.

Understanding Business Statistics (Robert N. Anthony/Willard J. Graham Series in Accounting)

Irwin Professional Publishing

This book is part of the the Irwin series in Statistics to provide insight into the quantitative analysis for business.

Understanding Business Statistics (The Irwin Series in Statistics)

Richard D.Irwin

Book by Hanke, John E., Reitsch, Arthur G.

Fundamentals of Business Statistics

Merrill Pub. Co

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Books by Hanke, John E.