ANOVA provides a general approach to the analysis of single and multiple factor experiments on both one- and two-color microarray platforms. Mixed model ANOVA is important because in many microarray experiments there are multiple sources of variation that must be taken into consideration when constructing tests for differential expression of a gene. The genome is large, and the signals of expre...

Smoothing Spline ANOVA is a statistical modeling algorithm based on a function decomposition similar to the classical analysis of variance (ANOVA) decomposition and the associated notions of main effect and interaction. It represents a suitable screening technique for detecting important variables (Variable Screening) in a given dataset. We present the mathematical background together with poss...

We show that the lower-order terms in the ANOVA decomposition of a function f(x) := max(φ(x), 0) for x ∈ [0, 1], with φ a smooth function, may be smoother than f itself. Specifically, f in general belongs only toW d,∞, i.e., f has one essentially bounded derivative with respect to any component of x, whereas, for each u ⊆ {1, . . . , d}, the ANOVA term fu (which depends only on the variables xj...

In this study, two different vegetable based cutting fluids developed from refined canola and sunflower oil and a commercial type semi-synthetic cutting fluid were carried out to determine optimum conditions for tool wear and forces during milling of AISI 304 austenitic stainless steel. Taguchi L9 (3) orthogonal array was used for the experiment plan. Cutting speed, feed rate, depth of cut and ...

We constrain the total mass distribution in the cluster A3571, combining spatially resolved ASCA temperature data with ROSAT imaging data with the assumption that the cluster is in hydrostatic equilibrium.