Projection pursuit quadratic regression - the normal case

František Štulajter

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Displaying similar documents to “Projection pursuit quadratic regression - the normal case”

A vectorial expression for Liapounov's central limit theorem.

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In this paper we prove two Liapounov's central limit theorems for a sequence of independent p-dimensional random vectors, with mean and variance and covariance matrix ∑n, in cases of both general and uniformly bounded sequence.

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Andrzej Kłopotowski (1980)

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Displaying similar documents to “Projection pursuit quadratic regression - the normal case”

A vectorial expression for Liapounov's central limit theorem.

A remark on the conditioning in limit theorems for dependent random vector in R d

Regression model with estimated covariance matrix

Maximal correlation in path analysis

A note on sums of independent uniformly distributed random variables

Asymptotical confidence region in a replicated mixed linear model with an estimated covariance matrix

A remark on the conditioning in limit theorems for dependent random vector in $R^{d}$