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2011, 1. Aufl., Statistics in practice, ISBN 0470094826, Volume 112, xvi, 357
This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference... 
Estimation theory | mathematical models | Probability & Statistics | General | Mathematics | Mathematical models | Chance
Book
2001, Monographs on statistics and applied probability, ISBN 9781584880714, Volume 92., xv, 304
Book
Journal Article
2017, Second edition., Monographs on statistics and applied probability, ISBN 9781498720618, Volume 153., xix, 446 pages
.... It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments... 
Linear models (Statistics) | Generalized estimating equations
Book
INFORMS journal on computing, ISSN 1526-5528, 2019, Volume 31, Issue 3, pp. 445 - 458
.... However, the conclusions are typically dependent on uncertainties in the data. We use robust optimization principles to provide robust maximum likelihood estimators that are protected against data errors... 
maximum likelihood estimator | optimization | robust optimization | radiation therapy | robust statistics | LOCATION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Algorithms | Research | Maximum likelihood estimates (Statistics) | Estimation theory
Journal Article
Journal Article
The Annals of statistics, ISSN 0090-5364, 8/2009, Volume 37, Issue 4, pp. 1946 - 1982
Journal Article
Automatica (Oxford), ISSN 0005-1098, 2015, Volume 52, pp. 35 - 46
For many years, various methods for the identification and estimation of parameters in linear, discrete-time transfer functions have been available and implemented in widely available Toolboxes for Matlab... 
Optimal instrumental variable | System identification | Maximum likelihood | Box–Jenkins model | En-bloc estimation | Recursive estimation | Box-Jenkins model | SYSTEM | IDENTIFICATION-ALGORITHM | TIME-SERIES ANALYSIS | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
International journal of control, automation, and systems, ISSN 2005-4092, 2017, Volume 15, Issue 2, pp. 698 - 705
.... The unified parameter vector contains the minimum number of the unknown parameters, and the proposed maximum likelihood estimation algorithm has higher computational efficiency than the over-parameterization model based least squares algorithm. 
Hammerstein system | system identification | Dual-rate sampled system | polynomial transformation | maximum likelihood | PARAMETER-ESTIMATION ALGORITHMS | AUXILIARY MODEL | NONLINEAR-SYSTEMS | LEAST-SQUARES ALGORITHM | ITERATIVE IDENTIFICATION | AUTOMATION & CONTROL SYSTEMS | Studies | Control systems | Estimating techniques | Regression analysis | Maximum likelihood estimation | Parameter estimation | Parameters | Algorithms | Mathematical models | Computational efficiency | Parameter identification | 제어계측공학
Journal Article
Fluid Phase Equilibria, ISSN 0378-3812, 05/2012, Volume 321, pp. 25 - 43
... of GC models and CI models using maximum-likelihood estimation theory is developed. For parameter estimation, large data-sets of experimentally... 
Group-contribution method | Atom connectivity index method | Maximum-likelihood estimation theory | Uncertainty analysis | Pure component properties | THERMODYNAMIC DATA | CHEMISTRY, PHYSICAL | ENGINEERING, CHEMICAL | METHANE | THERMODYNAMICS | MODELS | NORMAL-ALKANES | CRITICAL CONSTANTS
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 03/2008, Volume 9, pp. 485 - 516
.... Our approach is to solve a maximum likelihood problem with an added l(1)-norm penalty term. The problem as formulated is convex but the memory requirements and complexity... 
Binary data | Maximum likelihood estimation | Gaussian graphical model | Convex optimization | Model selection | binary data | MINIMIZATION | LASSO | model selection | convex optimization | maximum likelihood estimation | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | GRAPHS
Journal Article