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New Statistical Developments in Data Science

This volume collects the extended versions of papers presented at the SIS Conference Statistics and Data Science: new challenges, new;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

traditional statistical techniques and mathematical models using differential equations, new developments with a very broad spectrum of applications;

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Classification, (Big) Data Analysis and Statistical Learning

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data;

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Modern Statistical Methods for Health Research

directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the;

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Analysis Of Ordinal Categorical Data

Statistical science s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues;

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Handbook of Big Data Analytics

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical;

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Handbook of Big Data Analytics

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical;

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Federal Statistics, Multiple Data Sources, and Privacy Protection

frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal;

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Statistical Analysis of Circular Data

. Statistical methods for handling such data have developed rapidly in the last twenty years, particularly data display, correlation, regression and;

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Contemporary Experimental Design, Multivariate Analysis and Data Mining

, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. The book;

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Measurements For Terrestrial Vegetation

of statistical sampling and analysis designs that should be used to obtain and analyze these data. This new and thoroughly updated edition of a classic;

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Computational and Methodological Statistics and Biostatistics

users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Recent Advances in Functional Data Analysis and Related Topics

-tech progress produces statistical units sampled over finer and finer grids. As the measurement points become closer, the data can be;

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Advanced Studies in Classification and Data Science

, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical;

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Applied Statistics for Environmental Science with R

science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and;

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Data Analysis and Rationality in a Complex World

This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational;

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Probability and Statistical Models with Applications

This monograph of carefully collected articles reviews recent developments in theoretical and applied statistical science, highlights;

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Statistical Foundations, Reasoning and Inference

and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the;

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Practical Statistics for Data Scientists

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic;

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Statistics Explained

equation modelling. A new chapter - 'Samples and Statistical Inference' - explains how data can be analysed in detail to examine its suitability;

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Statistics Explained

bootstrapping and structural equation modelling. A new chapter - 'Samples and Statistical Inference' - explains how data can be analysed in detail to;

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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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Statistics for Data Scientists

often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical;

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Practical Data Science with Python

utilize data science tools in Python, such as specialized machine learning algorithms and statistical modeling Build a strong data science;

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