This text presents, in a straighforward, application-driven manner, the basic statistical techniques that are useful for preparing individual business forecasts and long-range plans. Emphasis is placed upon the application of techniques by management decision-making. New case studies are included in this edition, bringing the total to 43. Overall organization of the text is revised to enhance clarity and increase the teaching and learning effectiveness. Computer use is integrated throughout, with MINITAB, Forecast and Lotus 1-2-3 illustrations at the end of each chapter.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Pearson Education Limited
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Maße
Höhe: 235 mm
Breite: 180 mm
Gewicht
ISBN-13
978-0-13-324971-2 (9780133249712)
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Schweitzer Klassifikation
Introduction to forecasting; a review of basis statistical concepts; data sources; exploring data patterns and choosing a forecasting technique; moving averages and smoothing methods; regression analysis; multiple regression; time series analysis; regression of time series data; the Box-Jenkins (ARIMA) methodology; judgemental elements in forecasting.
