scientific article

Publication date: 17 September 1992

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

chemometrics smoothing multivariate calibration outlier detection data selection model estimation statistical prediction bilinear data compression techniques curvature linearization UNSCRAMBLER

Mathematics Subject Classification ID

Design of statistical experiments (62K99) Linear inference, regression (62J99) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Applications of statistics (62P99) Survival analysis and censored data (62N99)

Related Items

Parallel regressions for variable selection using GPU, Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications, Unnamed Item, Sparse functional partial least squares regression with a locally sparse slope function, Multi-way PLS regression: monotony convergence of tri-linear PLS2 and optimality of parameters, Variable selection of spectroscopic data through monitoring both location and dispersion of PLS loading weights, Non-symmetrical composite-based path modeling, Handling multicollinearity in quantile regression through the use of principal component regression, Almost complete convergence for the sequence of approximate solutions in linear calibration problem with α-mixing random data, Unnamed Item, Length modified ridge regression, Partial least squares for simultaneous reduction of response and predictor vectors in regression, Dyadic analysis for multi-block data in sport surveys analytics, A comparison of various methods for multivariate regression with highly collinear variables, The modelome of line curvature: many nonlinear models approximated by a single bi-linear metamodel with verbal profiling, Methodology and theory for partial least squares applied to functional data, The functional nonparametric model and applications to spectrometric data, Unnamed Item, Sparse matrix transform based weight updating in partial least squares regression, Partial least squares prediction in high-dimensional regression, Multivariate approaches for aggregate time series1, A weighted view on the partial least-squares algorithm, Robust learning in a partial least-squares neural network, Partial least squares Cox regression for genome-wide data, Curves discrimination: a nonparametric functional approach, Partial least-squares vs. Lanczos bidiagonalization. I: Analysis of a projection method for multiple regression, On partial least squares dimension reduction for microarray-based classification: a simulation study, PCA and PLS with very large data sets, Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR, Dimension reduction in functional regression with applications, An empirical study of PLAD regression using the bootstrap, PLS path modeling, Prediction and calibration for multiple correlated variables, PLS regression: a directional signal-to-noise ratio approach, Forecasting functional time series, Bootstrap confidence intervals for the contributions of individual variables to a Mahalanobis distance, Derived components regression using the BACON algorithm, Partial quantile regression, Statistical analysis for nuclear forensics experiments, Sharpening P-spline signal regression, PLS-Based Multivariate Metamodeling of Dynamic Systems, Analyzing Designed Experiments with Multiple Responses, Variable Selection Methods in High-dimensional Regression—A Simulation Study, Extension of biplot methodology to multivariate regression analysis