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Population Validity and Cross-Validity
Educational and Psychological Measurement, 2007Applications of distribution theory for the squared multiple correlation coefficient and the squared cross-validation coefficient are reviewed, and computer programs for these applications are made available. The applications include confidence intervals, hypothesis testing, and sample size selection.
James Algina, H.J. Keselman
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Chemometrics and Intelligent Laboratory Systems, 2018
Abstract Cross validation (CV) is by far one of the most commonly used methods to estimate model complexity for partial least squares (PLS). In this study, stochastic cross validation (SCV) was proposed as a novel CV strategy, where the percent of left-out objects (PLOO) was defined as a changeable random number.
Lu Xu +7 more
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Abstract Cross validation (CV) is by far one of the most commonly used methods to estimate model complexity for partial least squares (PLS). In this study, stochastic cross validation (SCV) was proposed as a novel CV strategy, where the percent of left-out objects (PLOO) was defined as a changeable random number.
Lu Xu +7 more
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2023
Validation is one of the most important steps in chemometric modelling, which can drastically change the final results and the performance of a model, especially when it is being applied for the prediction of new data. The best solution for validation of a final model with optimized hyperparameters is to use a validation set – an independent set of ...
Kucheryavskiy, Sergey +2 more
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Validation is one of the most important steps in chemometric modelling, which can drastically change the final results and the performance of a model, especially when it is being applied for the prediction of new data. The best solution for validation of a final model with optimized hyperparameters is to use a validation set – an independent set of ...
Kucheryavskiy, Sergey +2 more
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NIR news, 2010
W hen the same test set is used both to tune a calibration algorithm and to give an assessment of its performance, the assessment will be over optimistic. one solution to this problem is to use three sets: calibration, tuning and validation sets. Cross-validation, often used as an alternative to removing a test set, suffers from the same problem of ...
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W hen the same test set is used both to tune a calibration algorithm and to give an assessment of its performance, the assessment will be over optimistic. one solution to this problem is to use three sets: calibration, tuning and validation sets. Cross-validation, often used as an alternative to removing a test set, suffers from the same problem of ...
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Communications in Statistics - Simulation and Computation, 2015
Data-based choice of the bandwidth is an important problem in kernel density estimation. The pseudo-likelihood and the least-squares cross-validation bandwidth selectors are well known, but widely criticized in the literature. For heavy-tailed distributions, the L1 distance between the pseudo-likelihood-based estimator and the density does not seem to ...
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Data-based choice of the bandwidth is an important problem in kernel density estimation. The pseudo-likelihood and the least-squares cross-validation bandwidth selectors are well known, but widely criticized in the literature. For heavy-tailed distributions, the L1 distance between the pseudo-likelihood-based estimator and the density does not seem to ...
openaire +1 more source