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Computational and Statistical Methods for Analysing Big Data with Applications

, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data;

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Developing Econometrics

that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It;

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Swarm Intelligence Methods for Statistical Regression

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models;

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Swarm Intelligence Methods for Statistical Regression

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models;

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Computational Methods for Data Analysis

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and;

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Statistical Analysis of Spherical Data

This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data;

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Computational Analysis of Communication

science, sociology, psychology, and media studies, the use of computational analysis is rapidly increasing. Statistical modeling, machine learning;

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Statistics for Data Scientists

methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a;

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Least Squares Data Fitting with Applications

efficient and robust computational methods for linear and nonlinear relationships. The presentation also establishes a link between the statistical;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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Big Data

, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play;

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Big Data

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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Simulation for Data Science with R

Harness actionable insights from your data with computational statistics and simulations using R About This Book * Learn five;

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Statistical and Computational Methods in Brain Image Analysis

case study data sets, Statistical and Computational Methods in Brain Image Analysis is the first book to explicitly explain how to perform;

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Big Data Analytics for Intelligent Healthcare Management

in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine;

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Analysing Survival Data from Clinical Trials and Observational Studies

A practical guide to methods of survival analysis for medical researchers with limited statistical experience. Methods and techniques;

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Analysing Survival Data From Clinical Trials And Observational Studies

A practical guide to methods of survival analysis for medical researchers with limited statistical experience. Methods and techniques;

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Big Data in Omics and Imaging, Two Volume Set

FEATURES Bridges the gap between the traditional statistical methods and computational tools for small genetic and epigenetic data;

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Smoothing Methods in Statistics

with a heavily computational focus based upon the data sets used in the book, making it equally suitable as a textbook for a course;

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Handbook of Big Data Analytics

is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics;

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Handbook of Big Data Analytics

is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics;

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Statistical Methods for Handling Incomplete Data

in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and;

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Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large;

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Statistical Learning for Big Dependent Data

Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting;

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Digital Signal Processing (DSP) with Python Programming

includes several computational problems and exercices. To aid easy learning for students, detailed corrections are provided.;

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Ocean Energy Modeling and Simulation with Big Data

Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the;

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Statistical Data Analytics

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;

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