EBK PRACTICAL MANAGEMENT SCIENCE
EBK PRACTICAL MANAGEMENT SCIENCE
5th Edition
ISBN: 9780100655065
Author: ALBRIGHT
Publisher: YUZU
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Chapter 14.7, Problem 26P

a)

Summary Introduction

To determine: The exponential smoothing models that would provide best forecasting model.

Introduction: Forecasting is a technique of predicting future events based on historical data and projecting them into the future with a mathematical model. Forecasting may be an intuitive or subjective prediction.

b)

Summary Introduction

To forecast: The data using simple exponential smoothing with the smoothing constant of 0.1.

Introduction: Forecasting is a technique of predicting future events based on historical data and projecting them into the future with a mathematical model. Forecasting may be an intuitive or subjective prediction.

c)

Summary Introduction

To determine: Whether the smoothing constant guaranteed to produce better forecasts in future.

Introduction: Forecasting is a technique of predicting future events based on historical data and projecting them into the future with a mathematical model. Forecasting may be an intuitive or subjective prediction.

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The following time series represents the number of automobiles sold by a car dealership each of the past five months. O t O (a) Construct a time series plot. Time Series Value 12 INIWIN 10 8 6 4 Y₁ 7 12 8 15 16 16 14- 12 10- 8- 6 14- 12 10 ON 4900 1 2 3 8. 6 0 4 5 1 1 2 3 4 Time Period (t) 2 3 4 Time Period (t) 5 5 6 16- 14 0 1 + 3 2 4 Time Period (t) 5 6 16- 14- 12 10 8- 1 2 3 4 Time Period (t) 5
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