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Application of decision-tree on wellness tourism visitors~ health behaviour changes
35-40Views:145In the case of social science research, the link between observation and theory can cause difficulties for researchers. Direct observation and measurement are rarely possible. Because the processes are constantly changing, it is possible to observe the phenomena once. Some of the models of mathematical, statistical methods are made in uncertain circumstances, which take into account the more important factors, but also the probable variables can be expressed. The technique used to make such a model is the decision tree method, which is a graphical model used in decision making, in which several choices are available and their outputs are uncertain. The study illustrates the use of this model, focusing on the health behavior of individuals involved in health tourism travel.
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Application of mathematical and statistical paradoxes in tourism
230-239Views:112The paradox is a well-founded statement / method, derived from a specific area of science and the application possibilities worth to try a different area of the farm in their respective fields. The world of chances and its mathematics is abound of paradoxes. Mathematics and statistics are separate disciplines and related sciences of many areas at the same time. Application of advanced education and research is essential. The study presents analyzing evaluation options in
the field of tourism based on two paradoxes (regression and maximum-likelihood) factor analysis and multidimensional scaling analysis. -
APPLICATION OF DISCRIMINANT ANALYSIS ON THE FINDINGS OF A QUESTIONNAIRE SURVEY CONDUCTED ON HEALTH TOURISM
65-69Views:139The examination of the presence of learning in leisure activities and in tourism has become popular in the past 20 years. There are a lot of publications in this area but there are differences in the type of learning, the persons studied , and the methods of the s urvey. The aim of the present study is the further processing of the database of a questionnaire tested, in the course of which we reveal the correctness of the further classification of the sample beyond the exploration of
learning applying the m ethod o f discriminant analysis. -
SEGMENTATION USING A DECISION TREE
49-54Views:148In the field of economics, the knowledge of high-level mathematical and statistical methods is necessary for a demanding analysis. Today the various items, indexes, and distributions are user-friendly analytical tools that have been built into computer programmes. In the case of uncertain decisions, decision trees are being applied in more and more areas. Using this method, decision rules can be created, so they can be used for segmentation as well. The study presents a
classification suitable for such a grouping.