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CSDA
2006
155views more  CSDA 2006»
13 years 9 months ago
Modelling the mean of a doubly stochastic Poisson process by functional data analysis
A new procedure for estimating the mean process of a doubly stochastic Poisson process is introduced. The proposed estimation is based on monotone piecewise cubic interpolation of...
P. R. Bouzas, Mariano J. Valderrama, Ana M. Aguile...
CSDA
2007
98views more  CSDA 2007»
13 years 9 months ago
A new Bayes estimate of the change point in the hazard function
An efficient estimate for the change point in the hazard function is obtained. This is based on a Bayesian estimator which uses equations concerning the parameters of a recently ...
Durdu Sertkaya Karasoy, Cem Kadilar
CSDA
2007
100views more  CSDA 2007»
13 years 9 months ago
Convergence of random k-nearest-neighbour imputation
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...
Fredrik A. Dahl
CSDA
2006
100views more  CSDA 2006»
13 years 9 months ago
Implementing a class of structural change tests: An econometric computing approach
The implementation of a recently suggested class of structural change tests, which test for parameter instability in general parametric models, in the R language for statistical c...
Achim Zeileis
CSDA
2006
85views more  CSDA 2006»
13 years 9 months ago
Detecting change-points in multidimensional stochastic processes
A general test statistic for detecting change-points in multidimensional stochastic processes with unknown parameters is proposed. The test statistic is specialized to the case of...
Jan G. De Gooijer