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development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements;
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Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to;
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Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to;
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sciences and statistics, Statistical Computing Environments for Social Research describes seven statistical computing environments--APL2STAT, GAUSS;
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sciences and statistics, Statistical Computing Environments for Social Research describes seven statistical computing environments--APL2STAT, GAUSS;
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of statistical computing. ---Mathematics of Computation . The text is highly readable and well illustrated with examples. The reader who intends to take;
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A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has;
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Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve;
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At last-a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature;
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-generation computing, the book focuses on recent developments in intelligent computing, such as linguistic computing, statistical computing, data;
Vergelijkbare producten zoals Advanced Computing Technologies and Applications
-generation computing, the book focuses on recent developments in intelligent computing, such as linguistic computing, statistical computing, data;
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, and application of algorithms for solving statistical problems. After a brief introduction to parallel computing, the book explores the;
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for automatically detecting faults occurring in bearings; fault detection and diagnosis with statistical and soft computing methods and;
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manufacturing and machining processes for an improved manufacturability is reported. This includes key elements of implementing conventional statistical;
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statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving;
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Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and;
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scatter plots; to simulate probability models in order to illustrate probability and statistical theory. Explains how to tackle computing;
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software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic;
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The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25;
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Teaching can be intimidating for beginning faculty. Some graduate schools and some computing faculty;...
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Teaching can be intimidating for beginning faculty. Some graduate schools and some computing faculty;...
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, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical;
Vergelijkbare producten zoals Statistical Studies of Income, Poverty and Inequality in Europe
, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical;
Vergelijkbare producten zoals Statistical Studies of Income, Poverty and Inequality in Europe
between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18;
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between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18;
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Offers the useful topics of statistical tools and methods delivered in a student friendly, step-by-step format. This title illustrates;
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This book is a collection of lecture notes from the Symposium on Quantum Computing, Thermodynamics, and Statistical Physics, held at Kinki;
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