Forecasting Methods in Sports and Recreation
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.
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accuracy applied assumption ATTENDANCE AT BONNEVILLE autocorrelation bias BONNEVILLE PARK calculate Causal Model coefficient of determination correlation coefficient cross-impact cross-impact analysis curve decisions Delphi Method Delphi Technique dependent error term estimate EVALUATION example Expert Method explanatory variables exponential smoothing F-TEST forecasted variable forecasting error forecasting method forecasting technique growth impact increase independent variables Interview Journal of Forecasting Journal of Leisure judgement Least-Squares Method Leisure Research logarithms Management measure multicollinearity number of observations number of participants number of tourists obtained Outdoor Recreation participation rates Percentage Change Method period Physical Education population prediction problem qualitative qualitative forecasting questionnaire rate of change ratio reasons recreational activities regression analysis regression coefficient regression equation relationship relevance tree reliable residuals scatter diagram selection Series Analysis situation socio-economic sports and recreation statistical STUDY QUESTIONS temperature tourist arrivals trend projections variation Weighted Percentage Change World Tourism Organization yield