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Projection-Pursuit Based Principal Component Analysis: a Large Sample Theory
Dispersion matrices eigenvalues and eigenvectors empirical processes principal component analysis projection pursuit (PP)
2007/12/10
摘要 The principal component analysis (PCA) is one of the most celebrated methods in analysing multivariate data. An effort of extending PCA is projection pursuit (PP), a more general class of dimension...
THE SOLUTION OF A PARAMETERIC EQUATION ARISING IN TRANSPORT THEORY
Transport equation δ-eigenvalue compa
2007/8/7
This paper deals with the solution of a neutron transport equation with parameter δ. Using the theory of functional analysis, we discuss the distribution of the parameters which make the equationhave ...
In this paper, the necessary and sufficient conditions for a function of the parameterin a one-parameter natural exponential family(NEF) to have an unbiased estimator with finite variance are obtained...