Journal ArticleDOI
PLS-regression: a basic tool of chemometrics
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TLDR
PLS-regression (PLSR) as mentioned in this paper is the PLS approach in its simplest, and in chemistry and technology, most used form (two-block predictive PLS) is a method for relating two data matrices, X and Y, by a linear multivariate model.About:
This article is published in Chemometrics and Intelligent Laboratory Systems.The article was published on 2001-10-28. It has received 7861 citations till now. The article focuses on the topics: Partial least squares regression.read more
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Soil Salinity Retrieval from Advanced Multi-Spectral Sensor with Partial Least Square Regression
TL;DR: This paper addresses the possibility and potential of Advanced Land Imager (ALI) for mapping soil salinity and demonstrates the effectiveness of PLSR model in retrieving soilSalinity from new-generation multi-spectral sensors with low cost and considerable accuracy.
Journal ArticleDOI
Seasonal dynamics of active SAR11 ecotypes in the oligotrophic Northwest Mediterranean Sea.
Ian Salter,Pierre E. Galand,Sonja K. Fagervold,Philippe Lebaron,Ingrid Obernosterer,Matthew J. Oliver,Marcelino T. Suzuki,Marcelino T. Suzuki,Cyrielle Tricoire +8 more
TL;DR: A conceptual framework is proposed in which physical mixing of the water column periodically resets SAR11 communities to a high diversity state and the seasonal evolution of phosphate limitation competitively excludes deeper-dwelling ecotypes to promote low diversity states dominated by SAR11 Ia.
Journal ArticleDOI
Widespread Increases in Iron Concentration in European and North American Freshwaters
Caroline Björnerås,Gesa A. Weyhenmeyer,Chris D. Evans,Mark O. Gessner,Hans-Peter Grossart,Külli Kangur,Ilga Kokorite,Pirkko Kortelainen,Hjalmar Laudon,Jouni Lehtoranta,Noah R. Lottig,Don Monteith,Peeter Nõges,Tiina Nõges,Filip Oulehle,Gunnhild Riise,James A. Rusak,Antti Räike,Janis Sire,Shannon Sterling,Emma S. Kritzberg +20 more
TL;DR: In this paper, the authors analyzed temporal trends of iron (Fe) concentrations across 340 water bodies distributed over 10 countries in northern Europe and North America in order to gain a clearer understanding of where, to what extent, and why Fe concentrations are on the rise.
Journal ArticleDOI
Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models
TL;DR: The results indicate that discriminant partial least squares using leave-half-out cross-validation provides a more realistic estimate of the predictive ability of a classification model, which may be overestimated by some of the cross- validation procedures.
Journal ArticleDOI
Effects of freeze–thaw cycles resulting from winter climate change on soil nitrogen cycling in ten temperate forest ecosystems throughout the Japanese archipelago
Rieko Urakawa,Hideaki Shibata,Megumi Kuroiwa,Yoshiyuki Inagaki,Ryunosuke Tateno,Takuo Hishi,Karibu Fukuzawa,Keizo Hirai,Hiroto Toda,Nobuhiro Oyanagi,Makoto Nakata,Asami Nakanishi,Keitaro Fukushima,Tsutomu Enoki,Yuichi Suwa +14 more
TL;DR: In this paper, the authors investigated the effect of freeze-thaw cycles on inorganic N and dissolved organic carbon productions in temperate forest ecosystems, and found that the response to the freezing and thaw cycles was explained by soil microbial activity (gross N mineralization and nitrification rate) and soil fertility.
References
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Book
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
TL;DR: In this article, the authors present a method for detecting and assessing Collinearity of observations and outliers in the context of extensions to the Wikipedia corpus, based on the concept of Influential Observations.
Book
A User's Guide to Principal Components
TL;DR: In this paper, the authors present a directory of Symbols and Definitions for PCA, as well as some classic examples of PCA applications, such as: linear models, regression PCA of predictor variables, and analysis of variance PCA for Response Variables.
Journal ArticleDOI
A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
Bradley Efron,Gail Gong +1 more
TL;DR: This paper reviewed the nonparametric estimation of statistical error, mainly the bias and standard error of an estimator, or the error rate of a prediction rule, at a relaxed mathematical level, omitting most proofs, regularity conditions and technical details.