<?xml version="1.0" encoding="UTF-8"?>
<seminar>
  <abstract>In the setting of multivariate analysis, we discuss Mahalanobis' idea of a distance based on "transforming the coordinates of a statistical field". While Mahalanobis (1936) considered the set of normal distributions in particular, we will consider possible extensions to a superset of distributions. The distance can be useful for projection, as loss function, for creating acceptance regions, and for hypothesis testing.</abstract>
  <cosponsor>UCLA Department of Statistics</cosponsor>
  <created-at type="datetime">2009-10-12T15:43:06-07:00</created-at>
  <date type="date">2009-12-01</date>
  <department>Statistics</department>
  <emailed type="boolean">false</emailed>
  <end-time>4:00 PM</end-time>
  <id type="integer">424</id>
  <keywords nil="true"></keywords>
  <location>4660 Geology Bldg.</location>
  <organization>Uppsala University</organization>
  <other-seminars-today type="boolean">false</other-seminars-today>
  <published type="boolean">true</published>
  <series>UCLA Department of Statistics Seminar</series>
  <speaker>Joakim Ekstrom</speaker>
  <start-time>3:00 PM</start-time>
  <title>On a Generalized Distance in Statistics &amp;mdash; Mahalanobis' Idea Revisited</title>
  <updated-at type="datetime">2009-10-20T07:32:13-07:00</updated-at>
</seminar>
