316 resultados para FONTANA I LÁZARO, JOSEP, 1931-
Predicting random level and seasonality of hotel prices. A structural equation growth curve approach
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This article examines the effect on price of different characteristics of holiday hotels in the sun-and-beach segment, under the hedonic function perspective. Monthly prices of the majority of hotels in the Spanish continental Mediterranean coast are gathered from May to October 1999 from the tour operator catalogues. Hedonic functions are specified as random-effect models and parametrized as structural equation models with two latent variables, a random peak season price and a random width of seasonal fluctuations. Characteristics of the hotel and the region where they are located are used as predictors of both latent variables. Besides hotel category, region, distance to the beach, availability of parking place and room equipment have an effect on peak price and also on seasonality. 3- star hotels have the highest seasonality and hotels located in the southern regions the lowest, which could be explained by a warmer climate in autumn
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Anàlisi del llegat de Newton
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Crítica a la pel·lícula "Tirant lo Blanc" de Vicente Aranda
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Article sobre els 45 anys d'experiència docent de l'autor
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Breu estudi sobre l'estat de l'educació avui en dia en l'àmbit escolar i familiar
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Anàlisi de textos que tracten el tema de La Passió de Verges
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El paisatge és un dels objectes d'estudi més antics de la geografia i té les seves arrels científiqe s en els geògrafs i naturalistes de finals del selge XIX (...)
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El Dr. Josep Maria Nolla ha contribuït de manera decisiva al coneixement dels orígens de la ciutat de Girona. El seu treball i el dels seus companys en aquesta aventura de recerca és a l'abast de tothom en la col·lecció "Història urbana de Girona", que ha tingut, la tardor del 2007, una traducció brillant en l'exposició "De Kerunta a Gerunda. Els orígens de la ciutat"
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In any discipline, where uncertainty and variability are present, it is important to have principles which are accepted as inviolate and which should therefore drive statistical modelling, statistical analysis of data and any inferences from such an analysis. Despite the fact that two such principles have existed over the last two decades and from these a sensible, meaningful methodology has been developed for the statistical analysis of compositional data, the application of inappropriate and/or meaningless methods persists in many areas of application. This paper identifies at least ten common fallacies and confusions in compositional data analysis with illustrative examples and provides readers with necessary, and hopefully sufficient, arguments to persuade the culprits why and how they should amend their ways