Studies on tourists crowding are developed to explore the perception of crowding, and these studies indicate crowding influence on sustainable development of tourist destinations. This study aims to reveal the influential factors of tourists’ perceived crowding. We obtained data from interviewing over 400 tourists and five senior tourism officials in Xi’an, China. This study firstly applies fac...

Taking advantage of the S4 class system of the programming environment R, which facilitates the creation and maintenance of reusable and modular components, an objectoriented solution for robust factor analysis is developed. The solution resides in the package robustfa. In the solution, new S4 classes "Fa", "FaClassic", "FaRobust", "FaCov", "SummaryFa" are created. The robust factor analysis fu...

In this paper we show the usage of robust multivariate statistical methods in geostatistics. A usual procedure to estimate the values of variables (e.g. geochemical variables) measured at certain points of a region is to apply geostatistical methods like Krige estimation (based on the estimation of variograms). Here we emphasize robust principal component and factor analysis for the preliminary...

The performance results of the athletes competed in the 1988-2008 Olympic Games were analyzed (n = 166). The data were obtained from the IAAF official protocols. In the principal component analysis, the first three principal components explained 70% of the total variance. In the 1st principal component (with 43.1% of total variance explained) the largest factor loadings were for 100m (0.89), 40...

With the continuous development of business incubator nowadays, the existing evaluation method of enterprise incubator’s hatch ability has been unable to meet the needs of small and medium-sized enterprises. This paper proposes a small and medium-sized enterprise incubator’s hatch ability evaluation model based on multiclass method, this model introduced the principal component analysis and fac...

Abstract: In this paper we introduce a statistical method which can be used in combination with principal component analysis or factor analysis. Certain variables of a large data set which are of interest can be selected in order to calculate loadings and scores of these variables. We describe how the remaining variables of the data set can be presented in the previously extracted factor space....

Factor analysis and principal component analysis result in com-puting a new co-ordinate system, which is usually rotated to ob-tain a better interpretation of the results. In the present paper, theidea of rotation to simple structure is extended to two dimensions.While the classical definition of simple structure is aimed at rotat-ing (one-dimensional) factors, the extension...

BACKGROUND Improvement in swimming performance involves the dynamic alignment of the body in liquid, technical skill, anthropometric characteristics of athletes, and the ability to develop propulsive force. The aim of this study was to assess the relationships between the propulsive force during swimming and arm muscle area (AMA) and propose an equation to estimate the propulsive force in young...