David J. Nott, Siew Li Tan, Mattias Villani and Robert Kohn, Regression density estimation with variational methods and stochastic approximation, 2012, Journal of Computational And Graphical Statistics, (21), 3, 797-820. Journal of Computational And Graphical Statistics is available online at informaworld TM : http://dx.doi.org/10.1080/10618600.2012.679897 Copyright: American Statistical Associ...

Abstract Providing access to synthetic micro-data in place of confidential data protect the privacy participants is common practice. For be useful for analysis, it necessary that density function closely approximate data. Hence, accurately estimating based on sample important. Existing kernel-based, copula-based, and machine learning methods joint estimation may not viable. Applying multivariat...

Abstract Computational thinking (CT) is gaining attention in education as a part of digital literacy and can be addressed several disciplines, including mathematics. Through the lens Brennan Resnick’s framework, we investigated how computational concepts, practices, perspectives upper-secondary statistics lessons using spreadsheets through design-based research. Three classes of, total, 58 16- ...

JEFFREY L. SOLKA*, EDWARD J. WEGMAN, CAREY E. PRIEBE, WENDY L. POSTON and GEORGE W. ROGERS Dahlgren Division of the Naval Surface Warfare Center, Systems Research and Technology Department, Advanced Computation Technology Group, Code B10, Dahlgren VA 22448-5100, USA Center for Computational Statistics, George Mason University, Fairfax, VA 22030-4444, USA Department of Mathematical Sciences, The...

where H is a matrix that you should define. If now Xβ is written as Xβ = X1β1 +X2β2, where X = (X1 : X2), β T = (β 1 : β T 2 ), and β2 is of dimension p2, state without proof the form of the F−test for testing H0 : β2 = 0. ii) The data in the GLIM analysis shown were obtained as part of a health survey in the US investigating cholesterol levels in women from two states, Iowa and Nebraska (denot...

Graduate-level instruction in statistical computing need not be relegated to courses devoted to statistical computing; even theoretical statistics courses can include considerable computational content through well-designed exercises. Such exercises should be chosen so that they force students to learn essential computing skills without impeding instruction of theory. A series of examples used ...