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2004, Wiley Series in Probability and Statistics, ISBN 9780470866979, xiii, 289
Generalised Least Squares adopts a concise and mathematically rigorous approach.  It will provide an up-to-date self-contained introduction to the unified... 
Probability & Statistics | General | Mathematics | Least squares
Book
Journal of statistical software, ISSN 1548-7660, 2015, Volume 67, Issue 1, pp. 1 - 48
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function... 
Cholesky decomposition | Linear mixed models | Sparse matrix methods | Penalized least squares | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | sparse matrix methods | penalized least squares | linear mixed models
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 01/2015, Volume 81, Issue 1, pp. 10 - 23
Journal Article
SIAM journal on matrix analysis and applications, ISSN 0895-4798, 1998, Volume 19, Issue 1, pp. 235 - 252
We formulate and solve a new parameter estimation problem in the presence of data uncertainties. The new method is suitable when a priori bounds on the... 
Ridge regression | Least-squares estimation | Regularized least-squares | Modeling errors | Robust estimation | Secular equation | Total least-squares | Physical Sciences | Mathematics | Mathematics, Applied | Science & Technology
Journal Article
2011, 1. Aufl., ISBN 9780470529706, xx, 605
This book is intended primarily as a handbook for engineers who must design practical systems.Its primarygoal is to discuss model development in sufficient... 
Control Systems Technology | Circuits | Least squares | TECHNOLOGY & ENGINEERING | Electronics | General | Kalman filtering | Mathematical models | Engineering–Statistical methods | Engineering | Statistical methods
Book
Neurocomputing (Amsterdam), ISSN 0925-2312, 09/2014, Volume 140, pp. 41 - 52
Journal Article