✦ LIBER ✦

Multiway covariates regression models

✍ Scribed by Age K. Smilde; Henk A. L. Kiers

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 125 KB
Volume: 13
Category: Article
ISSN: 0886-9383
DOI: 10.1002/(sici)1099-128x(199901/02)13:1<31::aid-cem528>3.0.co;2-p

No coin nor oath required. For personal study only.

✦ Synopsis

An abundance of methods exist to regress a y variable on a set of x variables collected in a matrix X. In the chemical sciences a growing number of problems translate into arrays of measurements X and Y, where X and Y are three-way arrays or multiway arrays. In this paper a general model is described for regressing such a multiway Y on a multiway X, while taking into account three-way structures in X and Y. A global least squares optimization problem is formulated to estimate the parameters of the model. The model is described and illustrated with a real industrial example from batch process operation. An algorithm is given in an appendix.

📜 SIMILAR VOLUMES

Multiway multiblock component and covari

Multiway multiblock component and covariates regression models

✍ Age K. Smilde; Johan A. Westerhuis; Ricard Boqué 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 220 KB 👁 1 views

Monitoring and diagnosing batch processe

Monitoring and diagnosing batch processes with multiway covariates regression models

✍ Ricard Boqué; Age K. Smilde 📂 Article 📅 1999 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 307 KB 👁 1 views

Cross-validation of multiway component m

Cross-validation of multiway component models

✍ D. J. Louwerse; Age K. Smilde; Henk A. L. Kiers 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 133 KB 👁 1 views

Two cross-validation methods are presented for multiway component models. They are used for choosing the numbers of components to use in Tucker3 models describing three-way data. The approach is general and can easily be adapted to other three-way and multiway models. A model is estimated after leav

Bayesian Modeling of Joint Regressions f

Bayesian Modeling of Joint Regressions for the Mean and Covariance Matrix

✍ Edilberto C. Cepeda; Dani Gamerman 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 306 KB 👁 1 views

## Abstract An important problem in agronomy is the study of longitudinal data on the growth curve of the weight of cattle through time, possibly taking into account the effect of other explanatory variables such as treatments and time. In this paper, a Bayesian approach for analysing longitudinal

Misclassification in Logistic Regression

Misclassification in Logistic Regression with Discrete Covariates

✍ Ori Davidov; David Faraggi; Benjamin Reiser 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 107 KB

ESTIMATION BY DATA AUGMENTATION IN REGRE

ESTIMATION BY DATA AUGMENTATION IN REGRESSION MODELS WITH CONTINUOUS AND DISCRETE COVARIATES MEASURED WITH ERROR

✍ JOUNI KUHA 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 306 KB 👁 1 views

Estimation methods are considered for regression models which have both misclassified discrete covariates and continuous covariates measured with error. Adjusted parameter estimates are obtained using the method of data augmentation, where the true values of the covariates measured with error are re