Titlebook: Robust Statistics, Data Analysis, and Computer Intensive Methods; In Honor of Peter Hu Helmut Rieder Book 1996 Springer-Verlag New York, In

天賦

得意牛

辮子帶來幫助

High Breakdown Point Estimators in Logistic Regression,ion models the breakdown point approach have not yet received much attention in logistic regression models. Although various robust estimators have been proposed in logistic regression models, their breakdown points are often not yet known. Here it is shown for logistic regression models with binary

Negotiate

GLADE

When is a p-Value a Good Measure of Evidence?,eal power function which gives for each experimental outcome a measure of how safe it is to reject the hypothesis in favour of the alternative. It is shown here that for a simple alternative to a one-sided hypothesis regarding a normal mean, the minimum risk level- . measure of evidence approaches t

indoctrinate

Geometric Properties of Principal Curves in the Plane,ss through the middle of a dataset if every point on the curve is the average of the observations projecting onto it. This idea can be made precise by defining principal curves for probability densities. Principal curves can be regarded as a generalization of linear principal components—if a princip

sundowning

On Robust Estimation of Variograms in Geostatistics,hich essentially is the variance of the differences of the variables in space. The usual estimate (empirical variance) of this function is highly non-robust..Several alternative . proposals for the estimation can be found in the literature. The definition often does not follow an obvious intuition (

Ergots

Nomogram

ELUC