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Variable selection in multivariate methods using global score estimation

✍ Scribed by Kaoru Fueda; Masaya Iizuka; Yuichi Mori


Publisher
Springer
Year
2008
Tongue
English
Weight
404 KB
Volume
24
Category
Article
ISSN
0943-4062

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## Abstract Different approaches for the calculation of prediction intervals of estimations obtained in multivariate curve resolution using alternating least squares optimization methods are explored and compared. These methods include Monte Carlo simulations, noise addition and jackknife resamplin