Journal ArticleDOI
PLS-regression: a basic tool of chemometrics
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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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Game Research Methods. An Overview
Petri Lankoski,Staffan Björk +1 more
TL;DR: This book provides an introduction to various game research methods that are useful to students in all levels of higher education covering both quantitative, qualitative and mixed methods.
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Recent trends in Silicon Carbide (SiC) and Graphene based gas sensors
TL;DR: The introduction of silicon carbide (SiC) as the semiconductorin gas sensitive field effect devices has tremendously improved this sensor platform extending the temperature range and number of dete... as mentioned in this paper.
Journal ArticleDOI
Quantitative structure–activity relationship study of antioxidative peptide by using different sets of amino acids descriptors
TL;DR: It was concluded that the DPPS is better to describe the amino acid of antioxidative tripeptides, and the hydrophobic and electronic properties of the N-terminal amino acid are suggested to play the most important significance to activity, followed by the hydrogen bond of the center amino acid.
Journal ArticleDOI
Robust partial least squares model for prediction of green tea antioxidant capacity from chromatograms.
TL;DR: It was shown that a robust model, allowing satisfactory prediction for test samples, can be used in controlling green tea antioxidant capacity based on their chromatograms and was shown to have virtually the same fit and predictive power as the classical partial least squares model when outlying samples were removed from the data.
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Staged efficiency and its determinants of regional innovation systems: a two-step analytical procedure
TL;DR: Wang et al. as mentioned in this paper proposed a coherent two-step analytical procedure for modelling the efficiency performance of regional innovation systems and its determinants, which can enhance the public's understanding of their operational quality, help policymakers in benchmarking innovation performance, and thereby improve policymaking.
References
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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.