Practical Management Science, Loose-leaf Version
Practical Management Science, Loose-leaf Version
5th Edition
ISBN: 9781305631540
Author: WINSTON, Wayne L.; Albright, S. Christian
Publisher: Cengage Learning
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Chapter 14.7, Problem 27P

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.

d)

Summary Introduction

To prepare: A short report summarizing the result.

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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