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Published:
Jun 28, 1996Keywords:
Discriminant Function Estimation from Mixtures Mixture of Inverse Gaussian Populations Relative Efficiency
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The copyright of a submitted article is only transferred to the publishers if and when the article is accepted for publication. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, electrostatic, mechanical, photocopying, recording or otherwise without the prior written permission of the publishers.
Main Article Content
Small Sample Results for a Discriminant Function Estimated from a Mixture of Two Inverse Gaussian Distributions
Abstract
Estimation of a discriminant function on the basis of a small sample size from a mixture of two inverse Gaussian distributions is considered. Its performance is investigated by a series of simulation experiments. The relative efficiency of the mixture and classified discrimination procedures are evaluated from the simulation results and compared with available asymptotic relative efficiency results.
