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, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with;
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Focusing on group sequential procedures, summarizes the sequential statistical methods used in anticancer, antiviral, cardiovascular, and;
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challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling;
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. Voltage and temperature variations, intentional or incidental, may also affect signal timing and cause timing errors. Adaptive Delay Sequential;
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principles and theory, the authors give readers the background required to craft their own stochastic models, numerical methods, and software. They;
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or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state;
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This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph;
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Until now, there was no single resource for actual digital system design. Using both basic and advanced concepts, Sequential Logic;
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for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for;
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of least squares data processing and the Kalman filter algorithm; positive definite matrices, the Cholesky decomposition, and some of their;
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models. The book seeks to determine the classic, generalized and sequential solutions, the relationship between these solutions, its direct;
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models. The book seeks to determine the classic, generalized and sequential solutions, the relationship between these solutions, its direct;
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accelerated sequential sampling procedures. It integrates the diversities in sequential estimation in a logical, treating both classical and modern;
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organized according to the sequential nature of the drug development process Helps formulation, analytical, and bioanalytical scientists in pharma;
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-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical methods of optimal detection;
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-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical methods of optimal detection;
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, as well as their recent advances and applications in wastewater treatment. The book follows a sequential approach for the treatment;
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CCT, are more beneficial than nonsequential CCT. This study investigates the impact of sequential CCT upon the level of both sociocultural and;
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, diffusion, and resampled Monte Carlo methods; Feynman-Kac particle models; genetic and evolutionary algorithms; sequential Monte Carlo methods;
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, diffusion, and resampled Monte Carlo methods; Feynman-Kac particle models; genetic and evolutionary algorithms; sequential Monte Carlo methods;
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being given more prominence. The book structure does not require sequential reading: each chapter is self-contained and users can fashion their;
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being given more prominence. The book structure does not require sequential reading: each chapter is self-contained and users can fashion their;
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Biomarkers, analysis of competing risks Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and;
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How can major corporations and governments more quickly and accurately detect and address cyberattacks on their networks? How can local;
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How can major corporations and governments more quickly and accurately detect and address cyberattacks on their networks? How can local;
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along with considerable practical advice. It describes standard conventions for sequential data and details how to perform sequential analysis;
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along with considerable practical advice. It describes standard conventions for sequential data and details how to perform sequential analysis;
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