Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

Using Multivariate Statistics

世界経済・社会統計 = World development indicators

As the title of this book identifies clearly, the authors combine the concepts of competitiveness and sustainability, which some may feel are difficult to reconcile, to provide guidance to enhance the management of tourism destinations. The contents of this book are not novel for it does not contain new insights on the topics that are covered or fresh case studies. However, it is innovative in that it introduces, within the same document, competitiveness and sustainability, embellishes these concepts and uses them to develop a conceptual framework. The explication of this framework is both the objective and content of the book. The focus is upon tourism destinations. The emphasis is on places with multiple attractions and accommodation establishments but the framework has applicability to countries and larger regions; states counties and smaller places; and there is also much of utility to the individual operator. The authors are devotees of Porter whose seminal works underpin their thinking, albeit with modifications to fit tourism.

The Competitive Destination: a Sustainable Tourism Perspective

The antecedents of memorable tourism experiences: The development of a scale to measure the destination attributes associated with memorable experiences

This study investigates the small-sample performance of meta-regression methods for detecting and estimating genuine empirical effects in research literatures tainted by publication selection. Publication selection exists when editors, reviewers or researchers have a preference for statistically significant results. Meta-regression methods are found to be robust against publication selection. Even if a literature is dominated by large and unknown misspecification biases, precision-effect testing and joint precision-effect/meta-significance testing can provide viable strategies for detecting genuine empirical effects. Publication biases are greatly reduced by combining two biased estimates, the estimated meta-regression coefficient on precision (1/Se) and the unadjusted average effect.

Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection

Spain is the European country with the highest percentage of protected areas (27.4% of its total surface area) and the country with the highest number of Biosphere Reserves, with 53. Extremadura, the region that we analyze in our study, has a total of 89 Special Conservation Areas and 71 Special Protection Areas, Monfragüe being one of them. In this context, the aim of this paper is to determine which factors have an influence on the decision to visit Monfragüe. We perform a regression analysis using a logit model, which shows that the only four factors that influence the decision to visit Monfragüe are gender, travelling with one’s partner or family, the type of accommodation, and the importance given to nature conservation. We also analyze the structural change using the Chow test, which shows that there are no structural changes, i.e., that the probability of visiting Monfragüe in the high or low season is not significantly different. In the case of Monfragüe, ecotourism is not currently practiced en masse; only 3 out of 10 tourists practice ecotourism in Monfragüe, which is important for the sustainable management of the park because the number of tourists it receives each year is within its carrying capacity.

https://www.mdpi.com/2073-445X/11/7/1032/pdf?version=1657193914

Marcelino Sánchez-Rivero

Papers

Estimating the Probability of Visiting a Protected Natural Space and Its Conditioning Factors: The Case of the Monfragüe Biosphere Reserve (Spain)