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Robust estimation of the vector autoregressive model by a trimmed least squares procedure. [PDF]
The vector autoregressive model is very popular for modeling multiple time series. Estimation of its parameters is done by a least squares procedure. However, this estimation method is unreliable when outliers are present in the data, and there is a need
Croux, Christophe, Joossens, Kristel
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Scientia Agropecuaria, 2017 The aim of this study was to build a model to predict the beef marbling using HSI and Partial Least Squares Regression (PLSR). Totally 58 samples of longissmus dorsi muscle were scanned by a HSI system (400 - 1000 nm) in reflectance mode,
Victor Aredo +2 more
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AlgorithmsPartial Least Squares (PLS) regression has been widely used to model the relationship between predictors and responses. However, PLS may be limited in its capacity to handle complex spectral data contaminated with significant noise and interferences.
Yi Mou +4 more
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PlantsIn the evolving field of cannabis research, scholars are exploring innovative methods to quantify cannabinoids rapidly and non-destructively. This study evaluates the effectiveness of a hand-held near-infrared (NIR) device for quantifying total ...
Hamza Rafiq +6 more
doaj +1 more source
An empirical study of PLAD regression using the bootstrap [PDF]
, 2018 Partial LAD regression uses the L 1 norm associated with least absolute deviations (LAD) regression while retaining the same algorithmic structure of univariate partial least squares (PLS) regression.
Kondylis, Athanassios, Whittaker, Joe
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Multivariate NIR studies of seed-water interaction in Scots Pine Seeds (Pinus sylvestris L.) [PDF]
, 2003 This thesis describes seed-water interaction using near infrared (NIR) spectroscopy, multivariate regression models and Scots pine seeds. The presented research covers classification of seed viability, prediction of seed moisture content, selection of ...
Lestander, Torbjörn
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Expectile Matrix Factorization for Skewed Data Analysis
, 2017 Matrix factorization is a popular approach to solving matrix estimation problems based on partial observations. Existing matrix factorization is based on least squares and aims to yield a low-rank matrix to interpret the conditional sample means given ...
Kong, Linglong +3 more
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New approaches in the chemometric analysis of infrared spectra of extra-virgin olive oils [PDF]
, 2014 The aim of this paper is to apply new chemometric approaches to obtain quantitative information from near and mid infrared spectra of Andalusian extra-virgin olive oils, using gas chromatography as a classical reference analytical technique.
Caridad, José Mª +5 more
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Moderating Effects of Management Control Systems and Innovation on Performance. Simple Methods for Correcting the Effects of Measurement Error for Interaction Effects in Small Samples [PDF]
In the accounting literature, interaction or moderating effects are usually assessed by means of OLS regression and summated rating scales are constructed to reduce measurement error bias. Structural equation models and two-stage least squares regression
Batista-Foguet, Joan M. +3 more
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The Importance of Transparency and Willingness to Share Personal Information [PDF]
, 2018 This study investigates the extent to which individuals are willing to share their sensitive personal information with companies. The study examines whether skepticism can influence willingness to share information.
Sullivan, Drew D
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