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Applied Modeling Techniques and Data Analysis 1 - Computational Data Analysis Methods and Tools

on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a;

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Applied Modeling Techniques and Data Analysis 2 - Financial, Demographic, Stochastic and Statistical Models and Methods

on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a;

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Data Analysis and Applications 1

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis;

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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study;

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Computational Methods for Next Generation Sequencing Data Analysis

Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range;

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Data Analysis and Applications 3

the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.;

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Data Analysis and Applications 4

Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and;

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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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Recent Advances In Stochastic Modeling And Data Analysis

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover;

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Computational Methods for the Atmosphere and the Oceans

models and the numerical techniques used in theoretical analysis of the atmosphere and ocean are among the topics covered.. Truly;

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Intelligent Data Analysis for Biomedical Applications

computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as;

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Statistical Learning and Modeling in Data Analysis

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series;

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Modeling with Data - Tools and Techniques for Scientific Computing

evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and;

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Predictive Modeling of Drug Sensitivity

techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to;

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Data-Driven Computational Methods

Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the;

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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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Data Mining for Design and Marketing

on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an;

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Data Mining for Design and Marketing

on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an;

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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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Bioinformatics and Biomedical Engineering

; data driven biology - new tools, techniques and resources; eHealth; high-throughput bioinformatic tools for genomics; oncological big data and;

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Bioinformatics and Biomedical Engineering

; data driven biology - new tools, techniques and resources; eHealth; high-throughput bioinformatic tools for genomics; oncological big data and;

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Interval-Censored Time-to-Event Data

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for;

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3D Face Modeling, Analysis and Recognition

3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for;

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Gene Expression Data Analysis

for generating gene expression data. Background knowledge on statistical modeling and machine learning techniques. Detailed methodology;

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Nonparametric Regression Methods For Longitudinal Data Analysis

nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling;

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Developing Econometrics

provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a;

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Statistical Methods for Handling Incomplete Data

theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis;

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