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Numerical And Statistical Methods For Bioengineering

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

Numerical and statistical methods with the free software SCILAB (http://www-rocq.inria.fr/scilab/);

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Numerical Issues In Statistical Computing For The Social Scientist

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

Computer-based numerical and statistical techniques have the purpose to improve performance and minimize error in problem-solving;

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Elements of Statistical Computing

point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive;

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Numerical Methods of Statistics

statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at;

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Numerical Methods of Statistics

statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at;

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Computational Modeling and Simulation Examples in Bioengineering

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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Ground Improvement Case Histories

specific technology followed by applications, and in some cases, comprehensive back analysis through numerical modelling is discussed. The book;

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Computer Oriented Numerical and Statistical Methods

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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Numerical Methods for Inverse Problems

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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Methods of Mathematical Modelling: Fractional Differential Equations

analytical and numerical methods dedicated to several mathematical equations Develops methods for the mathematical models which are;

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Methods of Mathematical Modelling: Fractional Differential Equations

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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Maths in Chemistry

Numerical methods are the mathematical procedures that approximate the solution of complex mathematical problems into much simpler form and;

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Numerical and Statistical Methods

Mathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/);

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Effective Statistical Learning Methods for Actuaries II

aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical;

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Numerical Ecology

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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Numerical Methods in Finance

of portfolio management strategies; statistical procedures; identification of models; Monte Carlo methods; and numerical implications of stochastic;

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Statistical Inference Based on the likelihood

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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Statistical Inference Based On The Likelihood

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

Mathematical Methods for Physical and Analytical Chemistry presents mathematical and statistical methods to students of chemistry at the;

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Statistical Computing with R

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve;

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Dynamical Systems: Theoretical and Experimental Analysis

The book is the second volume of a collection of contributions devoted to analytical, numerical and experimental techniques of dynamical;

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Dynamical Systems: Modelling

The book is a collection of contributions devoted to analytical, numerical and experimental techniques of dynamical systems, presented at;

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Publications of the Newton Institute

of portfolio management strategies; statistical procedures; identification of models; Monte Carlo methods; and numerical implications of stochastic;

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Bioinformatics and Computational Biology

, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a;

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Statistics in Musicology

digitization, and other advanced techniques and technologies have precipitated the need for standard statistical models to answer basic musicological;

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