This text introduces students to basic statistical techniques used in formulating individual business forecasts and longe-range plans, with an emphasis on the application of these techniques by management to decision-making. It addresses a range of complex topics and makes them understandable through a simple straightforward writing style and a wealth of practical examples. 25 cases at the end of chapters help illustrate the concepts taught and their real-world applications. Computer output from different computer packages are provided at the end of each chapter. They familiarize students with a range of software packages used in the business world and teach them how to read the output. There is a chapter on econometric topics, including coverage of the regression of time series data that is designed to make these concepts understandable to students.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Illustrationen
Maße
Höhe: 234 mm
Breite: 180 mm
Gewicht
ISBN-13
978-0-205-13707-7 (9780205137077)
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Schweitzer Klassifikation
Introduction to forecasting; a review of basic 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 the time series data; the Box-Jenkins (ARIMA) methodology; judgement elements in forecasting.
