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What should you see when you're analyzing real data using one of the major statistical packages, such as SPSS, SAS or Microsoft Excel;
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visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression''--;
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in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic;
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Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer;
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Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed;
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. Computer use is encouraged to facilitate analysis of data sets too large to be done by hand; to assist in the drawing of diagrams, histograms and;
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management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross;
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management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross;
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Become an expert at using Python for advanced statistical analysis of data using real-world examples About This Book * Clean, format;
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is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics;
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is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics;
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often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical;
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This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world;
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using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based computer software program for;
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in the field describe the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB (R) and;
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Food Security, Poverty and Nutrition Policy Analysis: Statistical Methods and Applications, Third Edition combines statistical data;
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, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data;
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book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are;
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, research data, and prototypic statistical and applications software, this volume brings together contributions from anthropologists, computer;
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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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Statistical and Data Handling Skills in Biology puts statistics into context to show biology students the relevance of statistical analysis;
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This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;
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Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data;
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. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides;
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. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides;
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A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;
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This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;
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