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10/2018, 1, ISBN 9781119501398, 721
Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich in theory and concepts,... 
Estimation theory | Least squares
eBook
Journal Article
2017, A Princeton lifesaver study guide, ISBN 9780691149547, xxiii, 727 pages
The essential lifesaver for students who want to master probability For students learning probability, its numerous applications, techniques, and methods can... 
Games of chance (Mathematics) | Random variables | Probabilities | Chance | MATHEMATICS | Probability & Statistics | General | Education | Statistics
Book
Journal of Statistical Software, ISSN 1548-7660, 2016, Volume 69, Issue 1, pp. 1 - 33
Least-squares means are predictions from a linear model, or averages thereof. They are useful in the analysis of experimental data for summarizing the effects... 
Experimental design | Linear models | Least-squares means | experimental design | STATISTICS & PROBABILITY | least-squares means | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | LINEAR MIXED MODELS | linear models
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 05/2012, Volume 60, Issue 5, pp. 2223 - 2235
Journal Article
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 02/2014, Volume 25, Issue 2, pp. 265 - 277
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 11/2011, Volume 59, Issue 11, pp. 5225 - 5235
Journal Article
Signal Processing, ISSN 0165-1684, 11/2012, Volume 92, Issue 11, pp. 2624 - 2632
Journal Article
Journal of Parallel and Distributed Computing, ISSN 0743-7315, 2007, Volume 67, Issue 1, pp. 33 - 46
We consider a stochastic model for distributed average consensus, which arises in applications such as load balancing for parallel processors, distributed... 
Edge-transitive graphs | Convex optimization | Distributed average consensus | Least-mean-square | least-mean-square | distributed average consensus | EIGENVALUES | edge-transitive graphs | MULTIAGENT SYSTEMS | convex optimization | DIFFUSION | AGENTS | COMPUTER SCIENCE, THEORY & METHODS | SUMS
Journal Article
Circuits, Systems, and Signal Processing, ISSN 0278-081X, 10/2019, Volume 38, Issue 10, pp. 4817 - 4839
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2016, Volume 191, pp. 95 - 106
Kernel adaptive filters (KAF) are a class of powerful nonlinear filters developed in Reproducing Kernel Hilbert Space (RKHS). The Gaussian kernel is usually... 
Kernel methods | Kernel least mean square | Kernel adaptive filtering | Kernel selection | CROSS-VALIDATION | STEADY-STATE | ALGORITHMS | SELECTION | ONLINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Artificial intelligence | Robotics | Algorithms | Kernels | Reproduction | Least mean squares | Adaptive filters | Least mean squares algorithm | Hilbert space | Optimization
Journal Article
19.