Of considerable importance to numerical analysts, this text contains the proceedings of the 18th Dundee Biennial Conference on Numerical Analysis, featuring eminent analysts and current...
Parallel Programming with CoArrays describes the basic techniques used to design parallel algorithms for highperformance, scientific computing. It is intended for upperlevel undergraduate students and...
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable...
This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the conclusions.
"Ask not what your compiler can do for you, ask what you can do for your compiler."John Levesque, Director of Crays Supercomputing Centers of ExcellenceThe...
Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations....
An introduction to radar systems should ideally be selfcontained and handson, a combination lacking in most radar texts. The first edition of Radar Systems Analysis...
An introduction to radar systems should ideally be selfcontained and handson, a combination lacking in most radar texts. The first edition of Radar Systems Analysis...
Modern computerintensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling...
Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore,...
Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore,...
Risk or uncertainty assessments are used as aids to decision making in nearly every aspect of business, education, and government. As a followup to the...
Risk Or Uncertainty Assessments Are Used As Aids To Decision Making In Nearly Every Aspect Of Business, Education, And Government. As A Followup To The...
This book presents similarity between Gaussian and nonGaussian stable multivariate distributions and introduces the onedimensional stable random variables. It discusses the most basic sample path...
Statistics Is A Subject With A Vast Field Of Application, Involving Problems Which Vary Widely In Their Character And Complexity.However, In Tackling These, We Use...
Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use...
The third edition of this popular introductory text maintains the character that won worldwide respect for its predecessors but features a number of enhancements that...
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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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