Parameter estimation in stochastic differential equations and stochastic partial differential equations is the science, art ...
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Privacy in statistical databases is a discipline whose purpose is to provide - lutions to the con?ict between the increasing ...
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This book includes models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data ...
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This book includes models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data ...
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The theory of linear models and regression analysis plays an essential role in the development of methods for the statistical ...
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This monograph contains a critical review of 50 years of results on questions of admissibility and minimaxity of estimators ...
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This book contains 116 exercises of sampling methods solved in detail. The exercises are grouped into chapters and are preceded ...
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This book combines much of what is known in regard to the theory of estimation for semiparametric models with missing data ...
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STATISTICAL MODELING AND ANALYSIS FOR COMPLEX DATA PROBLEMS treats some of today’s more complex problems and it reflects ...
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An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is ...
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Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical applications ...
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This selection of articles has emerged from different works presented at the conference "The Art of Semiparametrics" celebrated ...
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This book covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian ...
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The volume contains the proceedings of the 8th Workshop on Model-Oriented Design and Analysis. This book offers leading and ...
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