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The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis;
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Numerical and statistical methods with the free software SCILAB (http://www-rocq.inria.fr/scilab/);
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on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social;
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Computer-based numerical and statistical techniques have the purpose to improve performance and minimize error in problem-solving;
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point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive;
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statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at;
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statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at;
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in the book Provides a background on continuum and discrete modeling, along with equations and derivations for three key numerical methods;
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specific technology followed by applications, and in some cases, comprehensive back analysis through numerical modelling is discussed. The book;
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computational algorithms. The book gives a detailed discussion on all the relevant topics of both numerical and statistical methods, which are very;
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and imaging inverse problems. It includes a variety of numerical methods for solving inverse problems such as that of the Tikhonov;
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analytical and numerical methods dedicated to several mathematical equations Develops methods for the mathematical models which are;
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management. The book offers theory and practical applications for the solutions of real-life problems and will be of interest to graduate level;
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Numerical methods are the mathematical procedures that approximate the solution of complex mathematical problems into much simpler form and;
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Mathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/);
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aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical;
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The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and;
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of portfolio management strategies; statistical procedures; identification of models; Monte Carlo methods; and numerical implications of stochastic;
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The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book;
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The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book;
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Mathematical Methods for Physical and Analytical Chemistry presents mathematical and statistical methods to students of chemistry at the;
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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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The book is the second volume of a collection of contributions devoted to analytical, numerical and experimental techniques of dynamical;
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The book is a collection of contributions devoted to analytical, numerical and experimental techniques of dynamical systems, presented at;
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of portfolio management strategies; statistical procedures; identification of models; Monte Carlo methods; and numerical implications of stochastic;
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, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a;
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digitization, and other advanced techniques and technologies have precipitated the need for standard statistical models to answer basic musicological;
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