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Advanced Statistical Methods for the Analysis of Large Data-Sets

accepted for presentation and discussed at the conference on Advanced Statistical Methods for the Analysis of Large Data-sets.;

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Statistical Learning for Big Dependent Data

Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with;

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Statistical Computing

Many statistical modelling and data analysis techniques can be difficult to grasp and apply, and it is often necessary to use computer;

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Data Analysis for Business Decision Making

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support;

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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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Handbook of Regression Analysis With Applications in R

Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical;

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Statistical Analysis in Proteomics

is a large overlap between statistical methods for the different 'omics' fields, methods for analyzing data from proteomics experiments need;

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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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Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases

Neurodegenerative Diseases will be a cornerstone for anyone looking for simplicity in understanding basic and advanced statistical data analysis topics;

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Statistical Methods

. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social;

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Modeling with Data - Tools and Techniques for Scientific Computing

determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and;

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Higher Education Policy Analysis Using Quantitative Techniques

higher education policy analysis that involves the use of institutional- and state-level secondary data and quantitative methods ranging from;

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Mathematical Problems in Data Science

and both statistical and computational methods for data analysis. Initial chapters focus on exploring the properties of incomplete data sets;

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A Biostatistics Toolbox for Data Analysis

involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common;

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Statistical Bioinformatics

computational tools for the analysis ofgenomic, proteomic, and many other emerging high-throughputmolecular data. It may also serve as a rapid;

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Statistical Methods for Reliability Data, Second Edition

analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area;

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Statistical Methods in Psychiatry and Related Fields

of appropriate statistical methods for the analysis of repeated measures data. Ralitza Gueorguieva is a Senior Research Scientist at the Department;

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Statistical Methods in Psychiatry and Related Fields

. Simple statistical methods do not work well with such data. More advanced statistical methods capture the data complexity better, but are;

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Discrete Data Analysis with R

Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both;

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Advanced and Multivariate Statistical Methods

students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the;

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Advanced and Multivariate Statistical Methods

students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the;

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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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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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Statistical Foundations of Data Science

Provides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general;

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Statistical Data Analysis Using SAS

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for;

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Symbolic Data Analysis

. * Provides a supplementary website featuring links to download the SODAS software developed exclusively for symbolic data analysis, data sets, and;

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