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Applied and Computational Statistics

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Applied Computational Biology and Statistics in Biotechnology and Bioinformatics

The book entitled Applied Computational Biology and Statistics in Biotechnology and Bioinformatics is aimed to cater to the growing;

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Algebraic Statistics for Computational Biology

published in 2005, offers an introduction to this mathematical framework and describes tools from computational algebra for designing new algorithms;

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Applied Stochastic Modelling

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience;

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Applied Stochastic Modelling

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience;

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Applied Statistics for Business and Management using Microsoft Excel

Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft;

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Computational Biology

Computational biology is an emerging discipline dealing with applications of computational and data-analysis techniques to study biological;

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Computationally Intensive Statistics for Intelligent IoT

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas;

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Applied Statistics

is these seemingly small problems which involve the most tricky statistical and computational procedures. This handbook is self-contained although;

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Applied Statistics

but often it is these seemingly small problems which involve the most tricky statistical and computational procedures. This handbook is self;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends;

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Computational Biology

Computational biology involves the use of techniques including applied mathematics, informatics, statistics, computer science, artificial;

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Bayesian Analysis of Stochastic Process Models

, computational, inference, forecasting, decision making and important applied models. Key features: * Explores Bayesian analysis of models based on;

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Recent Advances In Statistical Methods, Proceedings Of Statistics 2001 Canada

This volume consists of research papers dealing with computational and methodological issues of statistical methods on the cutting edge;

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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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Cambridge Dictionary Of Statistics

further than this dictionary. Over 3600 terms are defined, covering medical, survey, theoretical, and applied statistics, including computational;

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Statistical Computing with R, Second Edition

computational statistics and Monte Carlo methods for modeling and simulation. - Tzvetan Semerdjiev, Zentralblatt Math Computational statistics and;

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Applied Statistics for the Behavioral Sciences 5th Edition

computational skills to carry them out. Assuming only a basic knowledge of mathematics and algebra, Hinkle uses a clear presentation, accessible;

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Computational Statistics

Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional;

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Computational Statistics

Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional;

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Mathematical Modeling and Computational Tools

This book features original research papers presented at the International Conference on Computational and Applied Mathematics, held at the;

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Small Area Estimation and Microsimulation Modeling

in government and non-government organizations. Features Covers both theoretical and applied aspects for real-world comparative research and;

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Handbook of Big Data

. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice;

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Handbook of Big Data

. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice;

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From Finite Sample To Asymptotic Methods In Statistics

become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are;

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The Cambridge Dictionary of Statistics

concepts, then look no further than this dictionary. Nearly 4000 terms are defined, covering medical, survey, theoretical, and applied statistics;

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Handbook of Statistical Bioinformatics

development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This;

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