Through a sampling survey of the results physical fitness test students Guilin Institute Aerospace Industry in 2018, using analysis variance research method, five variable indicators surveyed were analyzed, and changes during three years university studied. The show that college, has been increasing year by year, but growth rate declining, difference is mainly due to their own high body mass in...

Abstract We use hyperbolic wavelet regression for the fast reconstruction of high-dimensional functions having only low dimensional variable interactions. Compactly supported periodic Chui–Wang wavelets are used tensorized basis. In a first step we give self-contained characterization tensor product Sobolev–Besov spaces on d -torus with arbitrary smoothness in terms decay such coefficients. sec...

Recently, Hinton introduced the products of experts architecture for density estimation, where individual expert probabilities are multiplied and renormalized. We consider products of gaussian "pancakes" equally elongated in all directions except one and prove that the maximum likelihood solution for the model gives rise to a minor component analysis solution. We also discuss the covariance str...

The One-way Analysis of Variance (ANOVA) is a procedure for testing the hypothesis that K population means are equal, where K > 2. The One-way ANOVA compares the means of the samples or groups in order to make inferences about the population means. The One-way ANOVA is also called a single factor analysis of variance because there is only one independent variable or factor. The independent vari...

The lmdme package implements analysis of variance (ANOVA) decomposition through linear models on designed multivariate experiments in R (R Development Core Team, 2012), allowing ANOVA-principal component analysis (APCA) and ANOVA-simultaneous component analysis (ASCA). It also extends both methods with the application of partial least squares (PLS) through the specification of a desired output ...