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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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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 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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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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Applied and Computational Statistics

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Statistical Computing with R, Second Edition

programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on;

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Applications in Statistical Computing

on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book;

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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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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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Basic Math Review

• Provides remediation for students who are rusty in their basic computational skills. • Helps break the cycle of failure;

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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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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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Algebraic Statistics for Computational Biology

science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book, first;

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Compstat 1978

Compstat 1978.: Proceedings in Computational Statistics. is een boek van J. Gordesch;

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Understanding Computational Bayesian Statistics

A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely;

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Advances in Electrical Engineering and Computational Science

Advances in Electrical Engineering and Computational Science contains sixty-one revised and extended research articles written by prominent;

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Elementary Statistics A Step By Step Approach

Bluman's market-leading Step-by-Step Approach makes it easy to learn and understand! Helping students move from the computational to the conceptual;

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The Statistics of Gene Mapping

in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational;

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Modern Directional Statistics

, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. Christophe Ley;

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Modern Directional Statistics

, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. Christophe Ley is professor;

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Computational Statistics Handbook with MATLAB

commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions;

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Computational Statistics Handbook with MATLAB

commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions;

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Introduction to Mathematical Statistics and Its Applications, An

. It gives computational-minded students a necessary and realistic exposure to identifying data models.;

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Introduction to Statistics with the Wolfram Language

Introduction to Statistics with the Wolfram Language applies the extensive computational power of the Wolfram Language to the field;

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Reproducing Kernel Hilbert Spaces in Probability and Statistics

The book covers theoretical questions including the latest extension of the formalism, and computational issues and focuses on some of the;

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Elementary Statistics in Social Research

step-by-step computational techniques.;

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