Infinitesimally Robust Estimation in General Smoothly Parametrized Models

Details Infinitesimally Robust Estimation in General Smoothly Parametrized Models Infinitesimally Robust Estimation in General Smoothly Parametrized Models

2009-01-22

arxiv.org/abs/0901.3531v1

Statistical Methods and Application 2010

Statistics

Methodology

Scientific paper

10.1007/s10260-010-0133-0

We describe the shrinking neighborhood approach of Robust Statistics, which
applies to general smoothly parametrized models, especially, exponential
families. Equal generality is achieved by object oriented implementation of the
optimally robust estimators. We evaluate the estimates on real datasets from
literature by means of our R packages ROptEst and RobLox.

Affiliated with

Also associated with

No associations

Rating

Infinitesimally Robust Estimation in General Smoothly Parametrized Models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Infinitesimally Robust Estimation in General Smoothly Parametrized Models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Infinitesimally Robust Estimation in General Smoothly Parametrized Models will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-190061