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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
2001, Monographs on statistics and applied probability, ISBN 9781584880714, Volume 92., xv, 304
Book
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
2006, Foundations and trends in communications and information theory, ISBN 9781933019321, Volume 3 issue 1/2, 2006., Issue 1/2, ix, 225
This article is focused on the performance evaluation of linear codes under optimal maximum-likelihood (ML) decoding... 
Coding theory | Error-correcting codes (Information theory) | Decoders (Electronics)
Book
1996, 1st ed., Monographs on statistics and applied probability (Series), ISBN 9780412606502, Volume 68, x, 341
The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods... 
Mathematical statistics | Statistical Theory & Methods | Probabilities
Book
2004, 1. Aufl., Wiley series in probability and statistics, ISBN 0471976474, 514
...; and new application areas have been explored. Statistics of Extremescomprehensively covers a wide range of models and application areas, including risk and insurance... 
Mathematical statistics | Maxima and minima
eBook
Journal of the American Statistical Association, ISSN 0162-1459, 03/2010, Volume 105, Issue 489, pp. 263 - 277
.... However, their application is complicated due to the unavailability of the multivariate density function, and so likelihood-based methods remain far from providing a complete and flexible framework for inference... 
Pseudo-likelihood | Rainfall | Spatial dependence | Spatial extremes | Extreme value theory | Multivariate extreme analysis | Maximum likelihood estimation | Covariance | Theory and Methods | Inference | Matrices | Spatial models | Modeling | Parametric models | Estimators | Perceptual localization | Distribution functions | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Causal inference | Maximum likelihood estimates (Statistics) | Analysis | Methods | Max-stable processes
Journal Article
Critical care (London, England), ISSN 1364-8535, 02/2005, Volume 9, Issue 1, pp. 112 - 118
Journal Article
2000, Oxford statistical science series, ISBN 0198506503, Volume 22., xi, 380
Book
2009, Statistics, textbooks and monographs, ISBN 142006424X, xiii, 354 p., [2] p. of plates
Book
The Annals of statistics, ISSN 0090-5364, 8/2013, Volume 41, Issue 4, pp. 1922 - 1943
.... We build on recent work that applies such methods to network data, and establish asymptotic normality rates for parameter estimates of stochastic blockmodel data, by either maximum likelihood or variational estimation... 
Maximum likelihood estimation | Approximation | Stochastic models | Induced substructures | Parameterization | Statistics | Parametric models | Consistent estimators | Estimation methods | Vertices | Network statistics | Maximum likelihood | Variational methods | Stochastic blockmodeling | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | variational methods | stochastic blockmodeling | 62F12 | maximum likelihood
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