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