A selection of articles presented at the Eighth Lukacs Symposium held at the Bowling Green State University, Ohio. They discuss consistency and accuracy of the...
This book explains how the computer programs work and why and when they can be applied to problems in toxicology. It discusses the statistical models...
Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in...
"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for realworld...
The growth of the pharmaceutical industry over the past decade is astounding, but the impact of this growth on statistics is somewhat confusing. While software...
Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function...
Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function...
Maintaining a questionandanswer format, this second edition provides simplified means of solving nearly 200 practical problems that confront engineers involved in the planning, design, operation...
This stateoftheart volume examines steelrolling technology in a systematic and comprehensive mannerproviding an excellent synthesis of current information from three different branches of sciencephysics, metallurgy,...
Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic...
This book focuses on the class of largescale stochastic systems, which has dominated the attention of many academic and research groups. It discusses distributedsensor networks,...
Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov...
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihoodfree" methods of Bayesian inference...
Stochastic Partial Differential Equations and Applications gives an overview of current stateoftheart stochastic PDEs in several fields, such as filtering theory, stochastic quantization, quantum probability,...
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A selection of articles presented at the Eighth Lukacs Symposium held at the Bowling Green State University, Ohio. They discuss consistency and accuracy of the...
This book explains how the computer programs work and why and when they can be applied to problems in toxicology. It discusses the statistical models...
Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in...
"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for realworld...
The growth of the pharmaceutical industry over the past decade is astounding, but the impact of this growth on statistics is somewhat confusing. While software...
Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function...
Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function...
Maintaining a questionandanswer format, this second edition provides simplified means of solving nearly 200 practical problems that confront engineers involved in the planning, design, operation...
This stateoftheart volume examines steelrolling technology in a systematic and comprehensive mannerproviding an excellent synthesis of current information from three different branches of sciencephysics, metallurgy,...
Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic...
This book focuses on the class of largescale stochastic systems, which has dominated the attention of many academic and research groups. It discusses distributedsensor networks,...
Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov...
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihoodfree" methods of Bayesian inference...
Stochastic Partial Differential Equations and Applications gives an overview of current stateoftheart stochastic PDEs in several fields, such as filtering theory, stochastic quantization, quantum probability,...
Sale price$89.27Regular price$127.53
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