This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes ...
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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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The tools for developing these skills are in part qualitative – concepts such as set, relation, function, and structures ...
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This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim ...
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This volume is divided in three sections on random sets, geostatistics and mathematical morphology. They reflect his professional ...
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For statisticians the book provides a unique introduction to demographic problems in a familiar language. For demographers, ...
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The completely revised new edition of the classical book on Statistical Mechanics covers the basic concepts of equilibrium ...
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This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes ...
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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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Statistical Monitoring of Clinical Trials: Fundamentals for Investigators introduces the investigator and statistician to ...
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Statistical Tools in Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction ...
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The book develops the statistical approach to inverse problems with an emphasis on modeling and computations. The framework ...
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The subject of pattern analysis and recognition pervades many aspects of our daily lives, including user authentication in ...
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The third edition of Statistics and the Evaluation of Evidence for Forensic Scientists is fully updated to provide the latest ...
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Fractional Brownian motion (fBm) has been widely used to model a number of phenomena in diverse fields from biology to finance. ...
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The theory of fractional Brownian motion and other long-memory processes are addressed in this volume. Interesting topics ...
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Stochastic control is one of the methods being used to find optimal decision-making strategies in fields such as operations ...
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The behavior of many technical systems important in everyday life can be described using discrete states and state-changing ...
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Stochastic geometry has in recent years experienced considerable progress, both in its applications to other sciences and ...
Lire la suiteThese Proceedings offer a selection of peer-reviewed research and survey papers by some of the foremost international researchers ...
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