Infinite dimensional representation theory blossomed in the latter half of the twentieth century, developing in part with quantum mechanics and becoming one of the mainstays...
Ian Stewart's Galois Theory has been in print for 30 years. Resoundingly popular, it still serves its purpose exceedingly well. Yet mathematics education has changed...
Nobel prize winner Ilya Prigogine writes in his preface: "Irreversibility is a challenge to mathematics...[which] leads to generalized functions and to an extension of spectral...
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent...
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent...
The Success Of The First Edition Of Generalized Linear Models Led To The Updated Second Edition, Which Continues To Provide A Definitive Unified, Treatment Of...
Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and probabilistic methods. The book explores...
This innovative volume explores graphical models using belief functions as a representation of uncertainty, offering an alternative approach to problems where probability proves inadequate. Graphical...
Exact solutions of differential equations continue to play an important role in the understanding of many phenomena and processes throughout the natural sciences in that...
Clear and organized, this handbook shows engineers how to apply advanced statistical and experimental design methods to improve industrial and manufacturing processes. Throughout the text,...
Stop searching through the endless amount of literature to find the most recent information on plate buckling. The authors of Handbook of Thin Plate Buckling...
Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatiotemporal data from areas such as epidemiology And environmental...
This book contains several fundamental ideas that are revived time after time in different guises, providing a better understanding of algebraic geometric phenomena. It shows...
This book provides a systematic account of some developments in asymptotic parametric inference from a likelihoodbased perspective. It focuses on firstorder asymptotic theory, and discusses...
This book provides a systematic account of some developments in asymptotic parametric inference from a likelihoodbased perspective. It focuses on firstorder asymptotic theory, and discusses...
Intelligent Autonomy of UAVs: Advanced Missions and Future Use provides an approach to the formulation of the fundamental task typical to any mission and provides...
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Infinite dimensional representation theory blossomed in the latter half of the twentieth century, developing in part with quantum mechanics and becoming one of the mainstays...
Ian Stewart's Galois Theory has been in print for 30 years. Resoundingly popular, it still serves its purpose exceedingly well. Yet mathematics education has changed...
Nobel prize winner Ilya Prigogine writes in his preface: "Irreversibility is a challenge to mathematics...[which] leads to generalized functions and to an extension of spectral...
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent...
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent...
The Success Of The First Edition Of Generalized Linear Models Led To The Updated Second Edition, Which Continues To Provide A Definitive Unified, Treatment Of...
Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and probabilistic methods. The book explores...
This innovative volume explores graphical models using belief functions as a representation of uncertainty, offering an alternative approach to problems where probability proves inadequate. Graphical...
Exact solutions of differential equations continue to play an important role in the understanding of many phenomena and processes throughout the natural sciences in that...
Clear and organized, this handbook shows engineers how to apply advanced statistical and experimental design methods to improve industrial and manufacturing processes. Throughout the text,...
Stop searching through the endless amount of literature to find the most recent information on plate buckling. The authors of Handbook of Thin Plate Buckling...
Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatiotemporal data from areas such as epidemiology And environmental...
This book contains several fundamental ideas that are revived time after time in different guises, providing a better understanding of algebraic geometric phenomena. It shows...
This book provides a systematic account of some developments in asymptotic parametric inference from a likelihoodbased perspective. It focuses on firstorder asymptotic theory, and discusses...
This book provides a systematic account of some developments in asymptotic parametric inference from a likelihoodbased perspective. It focuses on firstorder asymptotic theory, and discusses...
Intelligent Autonomy of UAVs: Advanced Missions and Future Use provides an approach to the formulation of the fundamental task typical to any mission and provides...
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