Mathematical statistics - Data processing.

The Basics of S-PLUS by: (Language materials, printed)

Core concepts in data analysis = summarization, correlation and visualization / by: (Language materials, printed)

A handbook of statistical analyses using Stata by: (Language materials, printed)

SAS for data analysis = intermediate statistical methods / by: (Language materials, printed)

R through Excel = a spreadsheet interface for statistics, data analysis, and graphics / by: (Language materials, printed)

Mathematical statistics with applications / by: (Language materials, printed)

Computational statistics by: (Language materials, printed)

Computational statistics handbook with MATLAB / by: (Language materials, printed)

Using R for data management, statistical analysis, and graphics by: (Language materials, printed)

Using SAS for data management, statistical analysis, and graphics by: (Language materials, printed)

Statistical analysis and data display = an intermediate course with examples in R / by: (Language materials, printed)

Political analysis using R by: (Language materials, printed)

Towards advanced data analysis by combining soft computing and statistics by: (Language materials, printed)

Qualitative comparative analysis with R = a user's guide / by: (Language materials, printed)

Statistics and measurement concepts with OpenStat by: (Language materials, printed)

Data analysis in management with SPSS software by: (Language materials, printed)

Understanding statistics using R by: (Language materials, printed)

Complex models and computational methods in statistics by: (Language materials, printed)

Analyzing compositional data with R by: (Language materials, printed)

Excel 2007 for educational and psychological statistics = a guide to solving practical problems / by: (Language materials, printed)

SPSS for starters.. Part 2 by: (Language materials, printed)

The R software = fundamentals of programming and statistical analysis / by: (Language materials, printed)

Computing statistics under interval and fuzzy uncertainty = applications to computer science and engineering / by: (Language materials, printed)

Two-way analysis of variance = statistical tests and graphics using R / by: (Language materials, printed)

The R primer by: (Language materials, printed)

Problem solving and data analysis using Minitab = a clear and easy guide to six sigma methodology / by: (Language materials, printed)

An introduction to statistical computing = a simulation-based approach / by: (Language materials, printed)

Getting Started with R = An introduction for biologists / by: (Language materials, printed)

Applied statistical inference with MINITAB by: (Language materials, printed)

Mathematical statistics with applications in R by: (Language materials, printed)

Basic statistics = an introduction with R / by: (Language materials, printed)

Advances in complex data modeling and computational methods in statistics by: (Language materials, printed)

R data analysis without programming by: (Language materials, printed)

An introduction to statistics with Python = with applications in the life sciences / by: (Language materials, printed)

An introduction to data analysis using aggregation functions in R by: (Language materials, printed)

Data wrangling with R by: (Language materials, printed)

Comparative approaches to using R and Python for statistical data analysis by: (Language materials, printed)

Statistical disclosure control for microdata = methods and applications in R / by: (Language materials, printed)

Automated inequality proving and discovering / by: (Language materials, printed)

Data analysis with R : = a comprehensive guide to manipulating, analyzing, and visualizing data in R / by: (Language materials, printed)

The data science design manual by: (Language materials, printed)

Basic elements of computational statistics by: (Language materials, printed)

Statistical data analysis using SAS = intermediate statistical methods / by: (Language materials, printed)

Finite mixture of skewed distributions by: (Language materials, printed)

Attraction in numerical minimization = iteration mappings, attractors, and basins of attraction / by: (Language materials, printed)

Data science with MATLAB : = organizing data, descriptive statistics and visualization / by: (Language materials, printed)

Statistics and data analysis with MATLAB : = cluster analysis and applications / by: (Language materials, printed)

R graphics cookbook : = practical recipes for visualizing data / by: (Language materials, printed)

Core data analysis = summarization, correlation, and visualization / by: (Language materials, printed)

Computer age statistical inference = algorithms, evidence, and data science / by: (Language materials, printed)

Machine learning in production : = developing and optimizing data science workflows and applications / by: (Language materials, printed)

Introduction to statistics using R / by: (Language materials, printed)

The R primer by: (Language materials, printed)