Statistics and Computing.
Overview
Works: | 34 works in 15 publications in 15 languages |
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Titles
Humanities data in R = exploring networks, geospatial data, images, and text /
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Visualization and imputation of missing values = with applications in R /
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Statistical modeling and simulation for experimental design and machine learning applications = selected contributions from SimStat 2019 and invited papers /
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Magnetic resonance brain imaging = modelling and data analysis using R /
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SQL server analytical toolkit = using windowing, analytical, ranking, and aggregate functions for data and statistical analysis /
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Quantitative methods for the social sciences = a practical introduction with examples in R /
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Optimal experimental design = a concise introduction for researchers /
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Facets of behaviormetrics = the 50th anniversary of the Behaviormetric Society /
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An introduction to statistical learning = with applications in Python /
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Applied linear regression for business analytics with R = a practical guide to data science with case studies /
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Algorithmic Decision Making with Python Resources = From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs /
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The Rise of Artificial Intelligence and Big Data in Pandemic Society = Crises, Risk and Sacrifice in a New World Order /
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Fundamentals of High-Dimensional Statistics = With Exercises and R Labs /
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R 4 Quick Syntax Reference = A Pocket Guide to the Language, API's and Library /
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An Introduction to Statistics with Python = With Applications in the Life Sciences /
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