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pro vyhledávání: '"Nathaniel A. Woody"'
Autor:
Nathaniel A. Woody, Steven D. Brown
Publikováno v:
Journal of Chemometrics. 21:357-363
The wavelet transform is a relatively new method that partitions a signal into components which differ in the frequency of their features. Chemical data can be thought of as a signal being composed of several different frequency components, some more
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 84:40-45
Validation of empirical models is designed to produce statistics related to the average error rate of the model. These statistics can be used to minimize errors arising from extrapolation in the Y -values, but pay no attention to the X -block of pred
Publikováno v:
Journal of Chemometrics. 19:55-63
In this paper a novel signal-preprocessing technique that combines the local and multiscale properties of the wavelet prism with the global filtering capability of orthogonal signal correction (OSC) is presented for the pretreatment of spectroscopic
Publikováno v:
Journal of Chemometrics. 18:275-285
In this tutorial, traditional decision tree construction and the current state of decision tree modeling are reviewed. Emphasis is placed on techniques that make decision trees well suited to handle the complexities of chemical and biochemical applic
Autor:
Nathaniel A. Woody, Steven D. Brown
Publikováno v:
Analytica Chimica Acta. 490:355-363
In Bayesian networks it is necessary to compute relationships between continuous nodes. The standard Bayesian network methodology represents this dependency with a linear regression model whose parameters are estimated by a maximum likelihood (ML) ca
Autor:
Nathaniel A. Woody, Steven D. Brown
Publikováno v:
Journal of Chemometrics. 17:266-273
Many standard classification methods are incapable of handling missing values in a sample. Instead, these methods must rely on external filling methods in order to estimate the missing values. The hybrid network proposed in this paper is an extension
Autor:
Steven D. Brown, Joan Ferré, Hu-Wei Tan, Robert N. Feudale, Nathaniel A. Woody, Anthony J. Myles
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 64:181-192
Multivariate calibration models are of critical importance to many analytical measurements, particularly for spectroscopic data. Generally, considerable effort is placed into constructing a robust model since it is meant to be used for extended perio
Publikováno v:
Analytical chemistry. 76(9)
The transfer of partial least squares (PLS) calibration models among four near-infrared spectrometers was investigated for the quantitative analysis of thermoset resin polymers. A comparative study of second derivatives, multiplicative scatter correc
Autor:
Nathaniel A. Woody
Publikováno v:
Journal of Chemometrics. 18:314-315