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...

امروزه کاربردهای تصاویر ماهواره‌ای، در پایش و مدیریت زمین‌های کشاورزی، رو به گسترش است. با توجه قدرت تفکیک مکانی، طیفی زمانی بالای سنتینل‌ـ 2، این مطالعه، کشاورزی دقیق شهرستان قروه از استفاده شده ابتدا تقویم زراعی محصولات متفاوت آن منطقه، سری جمع‌آوری شد. روش پیشنهادی، نخست، فضای ویژگی براساس بازتاب باندها همچنین شاخص‌های گیاهی، ایجاد ابعاد طیفی، آنالیز مؤلفه‌های اصلی، کاهش یافت. سپس چهار طبقه‌...

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.

Increasingly school counselors are being called upon to demonstrate that they contribute to students’ academic achievement. No Child Left Behind (NCLB) has led to an intense focus on the use of standardized test scores in measuring academic achievement and on educator accountability for producing measurable achievement gains. NCLB also calls for all educators to use interventions that have been...

Bayes factors have been advocated as superior to p-values for assessing statistical evidence in data. Despite the advantages of Bayes factors and the drawbacks of p-values, inference by p-values is still nearly ubiquitous. One impediment to the adoption of Bayes factors is a lack of practical development, particularly a lack of ready-to-use formulas and algorithms. In this paper, we discuss and...