Diagnostics and robust estimation in multivariate data transformations. From: Journal of the American Statistical Association | Date: September 1, 1995| Author: Velilla, Santiago | COPYRIGHT 1995 American Statistical Association. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan.  All inquiries regarding rights should be directed to the Gale Group.Copyright information

A novel technique for pinpointing the presence of multivariate outliers that may be having an adverse effect on the estimation of a transformation to normality is presented. It is shown that the application of both univariate diagnostic methods and robust estimation to separate parameters would result in a satisfactory technique for detecting and accommodating anomalous observations.

1. INTRODUCTION

Consider a p-variate random vector X - ([X.sub.1], . . . , [X.sub.p])[prime...

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