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Data Analysis of Asymmetric Structures: Advanced Approaches in Computational Statistics

Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis;

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Data Analysis of Asymmetric Structures

Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis;

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Computationally Intensive Statistics for Intelligent IoT

of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design;

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Law as Data

opened entirely new approaches to the study of law. This volume explores the new field of computational legal analysis, an approach marked by its;

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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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Open Problems in Optimization and Data Analysis

Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain;

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Applied Statistics

GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It;

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Applied Statistics

GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It;

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Statistical Bioinformatics

* Carefully revisits frequently used statistical approaches andhighlights their limitations in large biological data analysis * Offers programming;

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Seismic Performance of Asymmetric Building Structures

engineers can utilize to enhance the seismic design of asymmetric building structures. Combining extensive experimental and numerical data stock;

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Spatial Analysis with R

In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods;

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Modern Statistics for Modern Biology

covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component;

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Basic Elements of Computational Statistics

This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a;

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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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Handbook of Big Data

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known;

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Handbook of Big Data

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known;

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Bayesian Statistical Methods

Computational techniques for large datasets Spatial data analysis The advanced topics are presented with sufficient;

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Bayesian Statistical Methods

Priors for high-dimensional regression models Computational techniques for large datasets Spatial data analysis The advanced;

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Advanced Studies in Behaviormetrics and Data Science

reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real;

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Advanced Studies in Behaviormetrics and Data Science

reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real;

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Basics of Bioinformatics

Research, Association Analysis for Human Diseases: Methods and Examples, Data Mining and Knowledge Discovery Methods with Case Examples, Applied;

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An Introduction to Multilevel Modeling Techniques

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational;

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An Introduction to Multilevel Modeling Techniques

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational;

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Algebraic Statistics for Computational Biology

The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer;

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Fundamentals of Advanced Omics Technologies: From Genes to Metabolites

approaches for the analysis of microarray data, the integration of transcriptome and metabolome data and computational approaches for visualization;

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Applied Statistics for Network Biology: Methods in Systems Biology

and different experimental approaches require different approaches for the statistical analysis of these data. This book is written by;

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Object Oriented Data Analysis

many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide;

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