Mathematical statistics - Data processing.
Overview
Works: | 130 works in 65 publications in 65 languages |
---|
Titles
Intermediate statistical methods and applications :a computer package approach /
by:
(Language materials, printed)
Lisp-Stat :an object-oriented environment for statistical computing and dynamic graphics /
by:
(Language materials, printed)
Modern elementary statistics, with theoretical supplement and BASIC programming /
by:
(Language materials, printed)
Probability and statistics with reliability, queuing, and computer science applications /
by:
(Language materials, printed)
Statistical computing :an introduction to data analysis using S-Plus /
by:
(Language materials, printed)
SAS/ASSIST software :your interface to the SAS System : version 6.
by:
(Language materials, printed)
Statistics and data with R :an applied approach through examples /
by:
(Language materials, printed)
R through Excela spreadsheet interface for statistics, data analysis, and graphics /
by:
(Electronic resources)
Hierarchical modelling for the environmental sciences :statistical methods and applications /
by:
(Language materials, printed)
Guide to intelligent data analysishow to intelligently make sense of real data /
by:
(Electronic resources)
Using SAS for data management, statistical analysis, and graphics /
by:
(Language materials, printed)
Core concepts in data analysissummarization, correlation and visualization /
by:
(Electronic resources)
Computing statistics under interval and fuzzy uncertaintyapplications to computer science and engineering /
by:
(Electronic resources)
Excel 2007 for educational and psychological statisticsa guide to solving practical problems /
by:
(Electronic resources)
Problem solving and data analysis using Minitaba clear and easy guide to six sigma methodology /
by:
(Language materials, printed)
An introduction to statistical computinga simulation-based approach /
by:
(Language materials, printed)
Using R and RStudio for data management, statistical analysis, and graphics /
by:
(Language materials, printed)
An introduction to statistical computing :a simulation-based approach /
by:
(Language materials, printed)
Advances in complex data modeling and computational methods in statistics
by:
(Electronic resources)
Statistical analysis and data displayan intermediate course with examples in R /
by:
(Electronic resources)
Problem solving and data analysis using Minitab :a clear and easy guide to Six Sigma methodology /
by:
(Language materials, printed)
An introduction to statistics with Pythonwith applications in the life sciences /
by:
(Electronic resources)
Comparative approaches to using R and Python for statistical data analysis
by:
(Electronic resources)
Statistical disclosure control for microdatamethods and applications in R /
by:
(Electronic resources)
Attraction in numerical minimizationiteration mappings, attractors, and basins of attraction /
by:
(Electronic resources)
Interaction effects in linear and generalized linear models :examples and applications using Stata /
by:
(Language materials, printed)
Advanced R statistical programming and data modelsanalysis, machine learning, and visualization /
by:
(Electronic resources)
Computer age statistical inferencealgorithms, evidence, and data science /
by:
(Electronic resources)
Reliability and statistical computingmodeling, methods and applications /
by:
(Electronic resources)
Guide to intelligent data sciencehow to intelligently make use of real data /
by:
(Electronic resources)
Applications in statistical computingfrom music data analysis to industrial quality improvement /
by:
(Electronic resources)
Artificial intelligence, big data and data science in statisticschallenges and solutions in environmetrics, the natural sciences and technology /
by:
(Electronic resources)
An introduction to statistics with Pythonwith applications in the life sciences /
by:
(Electronic resources)
Show more
Fewer
Subjects