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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Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change (1982-2013)
TL;DR: In this paper, the authors investigated the impact of climate variables, such as temperature, precipitation, and solar radiation on phenology using the partial least squares regression (PLS) method.
Journal ArticleDOI
Non-destructive assessment of microbial contamination in porcine meat using NIR hyperspectral imaging
TL;DR: In this paper, a pushbroom hyperspectral imaging system in the near-infrared (NIR) range (900-1700 nm) was exploited for determining the total viable count (TVC) and psychrotrophic plate count (PPC) in chilled pork during storage.
Journal ArticleDOI
Identification of key odorants responsible for chestnut-like aroma quality of green teas.
Yin Zhu,Haipeng Lv,Chen-Yang Shao,Suyoung Kang,Yue Zhang,Li Guo,Weidong Dai,Junfeng Tan,Qunhua Peng,Zhi Lin +9 more
TL;DR: The identification of chestnut-like aroma in green teas will provide a theoretical basis for further research on the directional adjustment and control of tea aroma quality.
Journal ArticleDOI
Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons
Zhichao Sun,Yebin Tao,Shi Li,Kelly K. Ferguson,John D. Meeker,Sung Kyun Park,Stuart Batterman,Bhramar Mukherjee +7 more
TL;DR: The two-step modeling strategy proposed here is potentially applicable under a multipollutant framework with many covariates by taking advantage of both the screening feature of an initial tree-based method and dimension reduction/variable selection property of the subsequent method.
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Modeling and Mapping of Soil Salinity with Reflectance Spectroscopy and Landsat Data Using Two Quantitative Methods (PLSR and MARS)
TL;DR: The results indicated that MARS is a more suitable technique than PLSR for the estimation and mapping of soil salinity, especially in areas with high levels of salinity.
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.