Forecasting Methods in Sport and Recreation - An Introduction

Click to open expanded view

Forecasting Methods in Sports and Recreation

An Introduction

By: Antoine Zalatan

Forecasting Methods in Sports and Recreation discusses and evaluates forecasting methods so as to allow practitioners to compare, choose and utilize the method most suited to their purpose. It surveys the range of forecasting techniques available and guides the user to making the best choice of technique.

ISBN 978-1-55077-064-3
Edition First
Year 1994
Page Count 260

$ 26.95

Place an Order
Request a Copy

Description

Good decision making can be better or worse, depending on the quality of the forecasts that underlie the decision-making process.

Forecasting Methods in Sports and Recreation discusses and evaluates forecasting methods so as to allow practitioners to compare, choose and utilize the method most suited to their purpose. It surveys the range of forecasting techniques available and guides the user to making the best choice of technique.

Table of Contents

1. Forecasting Environment

  • Why Forecasting?
  • Preparation Grounds
2. Qualitative Forecasting Methods
  • Need
  • Nominal Group Method
  • Steps
  • Expert Method
  • Steps
  • Evaluation
  • Aggregation Method
  • Steps
  • Evaluation
  • Panel Consensus
  • Steps
  • Evaluation
  • Delphi Method
  • Steps
  • Evaluation
  • Study Questions
3. Market Forecasting Methods
  • The Market
  • Opinion Surveys
  • Evaluation
  • Longitudinal Surveys
  • Direct Interviews
4. Numerical Methods

  • Definition

  • Percentage Change Method

  • Weighted Percentage Change Method

  • Ratio Method

  • Semi-averages

  • Questions

5. Mathematical Methods
  • Subjective Probability
  • Relevance Trees
  • Cross-impact
  • Computer Simulation
6. Regression Analysis

  • Rationale

  • Model

  • Least-square Method

  • Assumptions

  • Trend Projection

  • Casual Models

  • Time Series Analysis

  • Moving Average

  • Weighted Moving Average

  • Exponential Smoothing

7. Measures of Reliability
  • Correlation Coefficient
  • Coefficient of Determination
  • T Test
  • F Test
  • Durbin-Watson Test
8. Form And Content of the Model
  • Form of the Model
  • Data
  • Data Transformation
  • Selection of the Independent Variables
9. Quality of Forecasts
  • Attributes of A Good Forecast
  • Pitfalls
  • Errors
  • Checking the Accuracy of the Forecast
  • Improving the Forecasts