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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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Numerical Recipes in Pascal (First Edition)

, social scientist, and engineer. The scope of the book ranges from standard areas of numerical analysis (linear algebra, differential equations;

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Elements of Statistical Computing

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 Environments for Social Research

data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research;

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Statistical Computing Environments for Social Research

data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research;

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Statistical Computing with R

statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to;

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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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A Handbook of Numerical and Statistical Techniques

is directed at the scientist who wishes to solve his numerical and statistical problems on a programmable calculator, mini-computer or interactive;

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Numerical Python

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages;

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Numerical Polynomial Algebra

linear algebra and commutative algebra. For the application scientist, this book provides both a survey of polynomial problems in scientific;

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Parallel Processing And Applied Mathematics

carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing;

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Parallel Processing and Applied Mathematics

carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing;

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Biostatistics

emphasizes the importance of simulation and numerical exploration in a modern-day statistical investigation. A few statistical methods that can be;

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Numerical Computing with MATLAB

Numerical Computing with MATLAB is a lively textbook for an introductory course in numerical methods, MATLAB and technical computing.;

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Statistical Computing with R, Second Edition

Praise for the First Edition: . . . the book serves as an excellent tutorial on the R language, providing examples that illustrate;

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Statistical Computing in C++ and R

Includes numerous student exercises ranging from elementary to challenging Integrates both C++ and R for the solution of statistical computing;

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Statistical Computing in C++ and R

ranging from elementary to challenging Integrates both C++ and R for the solution of statistical computing problems Uses C++ code in R and R;

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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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Symbolic Computation for Statistical Inference

Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

scheme design and numerical experiments, the book also derives the governing equations for the probability density function of statistical;

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Just Plain Data Analysis

affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods;

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Just Plain Data Analysis

affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods;

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Statistical Modelling for Social Researchers

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist;

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Statistical Modelling for Social Researchers

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist;

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Numerical Analysis

are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a;

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Computer Based Numerical and Statistical Techniques

scientists. The contents of this book cover several advanced applications of numerical and statistical procedures in many different fields;

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