Mathematical statistics - Data processing.
Overview
Works: | 129 works in 64 publications in 64 languages |
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Titles
Intermediate statistical methods and applications :a computer package approach /
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Lisp-Stat :an object-oriented environment for statistical computing and dynamic graphics /
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Modern elementary statistics, with theoretical supplement and BASIC programming /
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Probability and statistics with reliability, queuing, and computer science applications /
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Statistical computing :an introduction to data analysis using S-Plus /
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SAS/ASSIST software :your interface to the SAS System : version 6.
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Statistics and data with R :an applied approach through examples /
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R through Excela spreadsheet interface for statistics, data analysis, and graphics /
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Hierarchical modelling for the environmental sciences :statistical methods and applications /
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Guide to intelligent data analysishow to intelligently make sense of real data /
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Using SAS for data management, statistical analysis, and graphics /
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Core concepts in data analysissummarization, correlation and visualization /
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Computing statistics under interval and fuzzy uncertaintyapplications to computer science and engineering /
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Excel 2007 for educational and psychological statisticsa guide to solving practical problems /
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Problem solving and data analysis using Minitaba clear and easy guide to six sigma methodology /
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An introduction to statistical computinga simulation-based approach /
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Using R and RStudio for data management, statistical analysis, and graphics /
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An introduction to statistical computing :a simulation-based approach /
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Advances in complex data modeling and computational methods in statistics
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Statistical analysis and data displayan intermediate course with examples in R /
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Problem solving and data analysis using Minitab :a clear and easy guide to Six Sigma methodology /
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An introduction to statistics with Pythonwith applications in the life sciences /
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Comparative approaches to using R and Python for statistical data analysis
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Statistical disclosure control for microdatamethods and applications in R /
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Attraction in numerical minimizationiteration mappings, attractors, and basins of attraction /
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Interaction effects in linear and generalized linear models :examples and applications using Stata /
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Advanced R statistical programming and data modelsanalysis, machine learning, and visualization /
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Computer age statistical inferencealgorithms, evidence, and data science /
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Reliability and statistical computingmodeling, methods and applications /
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Guide to intelligent data sciencehow to intelligently make use of real data /
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Applications in statistical computingfrom music data analysis to industrial quality improvement /
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Artificial intelligence, big data and data science in statisticschallenges and solutions in environmetrics, the natural sciences and technology /
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An introduction to statistics with Pythonwith applications in the life sciences /
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