International Scientific Conference 2014
DOI: 10.15611/amse.2014.17.19
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Studying Economics and Tourism Industry Relations by Smooth Partial Least Squares Method Depending on Parameter

Abstract: Front page design Grzegorz Rogoziński CD cover design Beata DębskaArticles published in the form submitted by the authors All rights reserved. No part of this book may be reproduced in any form or in any means without the prior permission in writing of the Publisher

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Cited by 2 publications
(1 citation statement)
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“…The paths of singular values and corresponding singular vectors of between and within sets correlation matrices are expressed as smooth functions of the annual data processed by a piecewise polynomial form of the cubic spline interpolant. To the best of our knowledge, Malec (2014) has published the only one descriptive application of smooth PLS on real data. However, the approaches can also be termed as moving window PLS and moving window PCA.…”
Section: Introductionmentioning
confidence: 99%
“…The paths of singular values and corresponding singular vectors of between and within sets correlation matrices are expressed as smooth functions of the annual data processed by a piecewise polynomial form of the cubic spline interpolant. To the best of our knowledge, Malec (2014) has published the only one descriptive application of smooth PLS on real data. However, the approaches can also be termed as moving window PLS and moving window PCA.…”
Section: Introductionmentioning
confidence: 99%