Algorithmic Learning in a Random World
This new monograph integrates mathematical theory and revealing experimental work. It demonstrates mathematically the validity ...
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Algorithms for Approximation ; Proceedings of the 5th International Conference, Chester, July 2005
Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection ...
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Algorithms in Bioinformatics (vol. # 3692)
this book present the proceedings of the 5th Workshop on Algorithmsin Bioinformatics (WABI 2005) which took place in Spain, ...
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All of Nonparametric Statistics
The goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics ...
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An Introduction to Bayesian Analysis
This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that ...
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An Introduction to Bayesian Analysis
This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that ...
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An Introduction to Copulas
Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas ...
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An Introduction to Copulas
Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas ...
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An Introduction to Kolmogorov Complexity and Its Applications, 3
Written by two experts in the field, this book is ideal for advanced undergraduate students, graduate students, and researchers ...
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An Introduction to Queueing Theory : Modeling and Analysis in Applications
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic ...
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An R and S-Plus® Companion to Multivariate Analysis
Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined ...
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Analysis of Integrated and Cointegrated Time Series with R
The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. ...
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Analysis of Microdata
The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software ...
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Analysis of Phylogenetics and Evolution with R
This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. This open ...
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Analysis, Control and Optimization of Complex Dynamic Systems
Analysis, Control and Optimization of Complex Dynamic Systems gathers in a single volume a spectrum of complex dynamic systems ...
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Apollo
This book provides an overview of the origins of the Apollo program and descriptions of the ground facilities, launch vehicles ...
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Applied Econometrics with R
This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on ...
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Applied Multivariate Statistical Analysis
This book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
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Applied Pattern Recognition
The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel ...
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Applied Quantitative Finance
Applied Quantitative Finance (2nd edition) provides a comprehensive and state-of-the-art treatment of cutting-edge topics ...
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