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Secrets of Statistical Data Analysis and Management Science!

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Univariate Bivariate & Multivariate Stat

A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate;

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Statistics for Data Scientists

students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a;

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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, Data Analysis And Decision Modeling

This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical;

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Essential Statistics for Non-STEM Data Analysts

Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data;

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Data Management and Analysis Using JMP

definition, data management, selecting the appropriate analysis methods, step-by-step JMP instructions, and interpreting statistical results;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic;

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Data Science and Its Applications

information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations;

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

unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Statistics for Environmental Science and Management

assessment, time series analysis, and spatial data.;

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Statistical Analysis of Management Data

Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for;

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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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Statistics and Data Analysis for Nursing Research

The second edition of Statistics and Data Analysis for Nursing, uses a conversational style to teach students how to use statistical;

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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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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Statistical Learning and Data Science

field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our;

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Statistical Learning and Data Science

field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our;

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Easy Statistics for Food Science with R

of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods;

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Comparative Analysis Of Nations

applying basic and specific statistical tools to the cross-national analysis of data. It exposes the cross-national analysis to comparative;

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Comparative Analysis Of Nations

applying basic and specific statistical tools to the cross-national analysis of data. It exposes the cross-national analysis to comparative;

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The Analysis of Cross-Classified Categorical Data

tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited;

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Applied Statistics for Environmental Science with R

interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find;

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Advanced Studies in Classification and Data Science

of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data;

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Machine Learning for Knowledge Discovery with R

thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world;

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