Planning and implementing successful tourism programs require in depth predictions of tourist behavior. However, the actions of tourists are not always based upon conscious thinking and decision-making and therefore more realistic and practical management strategies are needed. Tourism Management provides an in-depth coverage of sense making, planning, implementing, evaluating and administering tourism marketing and management programs. Recent advances in tourism theory and research on causal history and ecological systems are used to discuss how leisure and tourism occurs. This book...
Planning and implementing successful tourism programs require in depth predictions of tourist behavior. However, the actions of tourists are not alway...
Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly used assumption is that the data is a realization of a stationary Gaussian process. However, since the Gaussian assumption is a fairly stringent one, this assumption is frequently replaced by the weaker assumption that the process is wide sense stationary and that only the mean and covariance sequence is specified. This approach of specifying the probabilistic behavior only up to "second order" has of course been extremely popular from a...
Classical time series methods are based on the assumption that a particular stochastic process model generates the observed data. The, most commonly u...
