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  • Getting Started with R

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    R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on ... Leer más

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  • Learning R

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  • Regression Modeling Strategies

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    Series series Mathematics and Statistics (R0)
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  • Exercises and Projects for The Little SAS Book, Sixth Edition

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  • Biostatistics and Computer-based Analysis of Health Data using Stata

    This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This ... Leer más

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  • Modeling Psychophysical Data in R

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    Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, ... Leer más

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  • Python for Probability, Statistics, and Machine Learning

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    This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes ... Leer más

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  • Bayesian Networks in R

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  • An Introduction to R for Quantitative Economics

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