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.
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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 management for decision-making.
"About this title" may belong to another edition of this title.
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