The introduction of control theory in quantum mechanics has created a rich, new interdisciplinary scientific field, which is producing novel insight into important theoretical questions...
This concise, informal introduction to stochastic processes evolving with time was designed to meet the needs of graduate students not only in mathematics and statistics,...
This comprehensive text provides all information necessary for an introductory course on the calculus of variations and optimal control theory. Following a thorough discussion of...
In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a geneenvironment interaction. In Gambia, a study helps a...
Since its original publication in 1969, Mathematics for Engineers and Scientists has built a solid foundation in mathematics for legions of undergraduate science and engineering...
Explores The Impact Of The Analysis Of Algorithms On Many Areas Within And Beyond Computer Sciencea Flexible, Interactive Teaching Format Enhanced By A Large Selection...
Explores the Impact of the Analysis of Algorithms on Many Areas within and beyond Computer ScienceA flexible, interactive teaching format enhanced by a large selection...
Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth...
Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth...
Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for allpairwise comparisons, multiple comparisons with the best, and multiple comparisons with a...
Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for allpairwise comparisons, multiple comparisons with the best, and multiple comparisons with a...
Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical...
Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic...
The emergence of nanoscience portends a revolution in technology that will soon impact virtually every facet of our technological lives. Yet there is little understanding...
The emergence of nanoscience portends a revolution in technology that will soon impact virtually every facet of our technological lives. Yet there is little understanding...
This volume consists of a collection of tutorial papers by leading experts on statistical and probabilistic aspects of chaos and networks, in particular neural networks....
Working with mathematical models today requires indepth knowledge of recent methods developed for solving nonlinear differential equations. Keeping abreast of these developments is the goal...
In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates...
Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric MethodsSince its first publication in 1971, Nonparametric...
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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,...
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 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...
The mathematical study of games is an intriguing endeavor with implications and applications that reach far beyond tictactoe, chess, and poker to economics, business, and...
The mathematical study of games is an intriguing endeavor with implications and applications that reach far beyond tictactoe, chess, and poker to economics, business, and...
A properly structured financial model can provide decision makers with a powerful planning tool that helps them identify the consequences of their decisions before they...
An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two...
An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two...
Cryptography is ubiquitous and plays a key role in ensuring data secrecy and integrity as well as in securing computer systems more broadly. Introduction to...
The Introduction Of Control Theory In Quantum Mechanics Has Created A Rich, New Interdisciplinary Scientific Field, Which Is Producing Novel Insight Into Important Theoretical Questions...
The introduction of control theory in quantum mechanics has created a rich, new interdisciplinary scientific field, which is producing novel insight into important theoretical questions...
This concise, informal introduction to stochastic processes evolving with time was designed to meet the needs of graduate students not only in mathematics and statistics,...
This comprehensive text provides all information necessary for an introductory course on the calculus of variations and optimal control theory. Following a thorough discussion of...
In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a geneenvironment interaction. In Gambia, a study helps a...
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