#
Mathematical statistics -- Data processing
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The concept ** Mathematical statistics -- Data processing** represents the subject, aboutness, idea or notion of resources found in **University of Liverpool**.

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Mathematical statistics -- Data processing
Resource Information

The concept

**Mathematical statistics -- Data processing**represents the subject, aboutness, idea or notion of resources found in**University of Liverpool**.- Label
- Mathematical statistics -- Data processing

## Context

Context of Mathematical statistics -- Data processing#### Subject of

- A course in statistics with R
- A course in statistics with R
- A handbook of statistical analyses using SAS
- A handbook of statistical analyses using Stata
- Advances in complex data modeling and computational methods in statistics
- An introduction to data analysis using aggregation functions in R
- An introduction to intermediate and advanced statistical analyses for sport and exercise scientists
- An introduction to statistical analysis in research : with applications in the biological and life sciences
- An introduction to statistical computing : a simulation-based approach
- An introduction to statistics with Python : with applications in the life sciences
- Analyzing compositional data with R
- Applications, basics, and computing of exploratory data analysis
- Applied psychometrics using SAS
- Applied statistics : using SPSS, Statistica, MATLAB, and R
- Applied statistics and the SAS programming language
- Attraction in Numerical Minimization : Iteration Mappings, Attractors, and Basins of Attraction
- Basic elements of computational statistics
- Basic statistical computing
- Basic statistics : an introduction with R
- Combining and modifying SAS data sets : examples
- Complex data modeling and computationally intensive statistical methods
- Complex models and computational methods in statistics
- Complex surveys : a guide to analysis using R
- Computational methods for data analysis
- Computational statistics
- Computational statistics handbook with MATLAB
- Computational statistics handbook with MATLAB
- Computational statistics in the earth sciences : with applications in MATLAB
- Computer age statistical inference : algorithms, evidence, and data science
- Computer packages and research design, with annotations of input and output from the BMDP, SAS, SPSS and SPSSX statistical packages
- Computing statistics under interval and fuzzy uncertainty : applications to computer science and engineering
- Core concepts in data analysis : summarization, correlation and visualization
- Cyclic and computer generated designs
- Data analysis in management with SPSS software
- Data analysis using SAS
- Data analysis using SAS Enterprise guide
- Data analysis using stata
- Data analysis with open source tools
- Data manipulation With R
- Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively
- Data wrangling with R
- Datenanalyse mit Stata : Allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung
- Doing data analysis with Minitab 14
- Elements of statistical computing: numerical computation
- Excel 2007 for educational and psychological statistics : a guide to solving practical problems
- Exploratory and multivariate data analysis
- Exploratory and multivariate data analysis
- Exploring statistics with the IBM PC
- Finite Mixture of Skewed Distributions
- Frontiers in massive data analysis
- Getting started with R : an introduction for biologists
- Getting started with R : an introduction for biologists
- Getting started with the SAS System using SAS/ASSIST software : version 6
- Guide to intelligent data analysis : how to intelligently make sense of real data
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- In the know : SAS tips & techniques from around the globe
- Interactive data analysis: a practical primer
- Interactive data analysis: a practical primer
- Interactive data analysis: a practical primer
- Intermediate statistical methods and applications: a computer package approach
- Introducing Monte Carlo methods with R
- Introduction to statistics using R
- Mathematical statistics with applications in R
- Minitab handbook
- Minitab handbook
- Minitab handbook : updated for release 14
- Modern applied statistics with S
- Modern applied statistics with S-Plus
- Multilevel and longitudinal modeling using Stata
- Numerical methods of statistics
- Numerical methods of statistics
- Political analysis using R
- Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python
- Practical data science with R
- Probability and statistics for computer science
- Probability and statistics with reliability, queuing, and computer science applications
- Problem solving and data analysis using Minitab : a clear and easy guide to six sigma methodology
- QCA with R : a comprehensive resource
- Qualitative comparative analysis with R : a user's guide
- R cookbook
- R for data science : learn and explore the fundamentals of data science with R
- R through Excel : a spreadsheet interface for statistics, data analysis, and graphics
- Reasoning with data : an introduction to traditional and Bayesian statistics using R
- SAS Screen Control Language syntax, version 6
- SAS Screen Control Language, reference : version 6
- SAS Screen Control Language, reference, version 6, first edition
- SAS essentials : mastering SAS for data analytics
- SAS for data analysis : intermediate statistical methods
- SAS/GRAPH software usage, version 6, first edition
- SAS/INSIGHT user's guide : version 6
- SAS/STAT user's guide : volume 1, version 6
- SAS/STAT user's guide : volume 2, version 6
- SPSS for applied sciences : basic statistical testing
- SPSS for starters, Part 2
- Sharpening your SAS skills
- Statistical Models in S
- Statistical analysis and data display : an intermediate course with examples in R
- Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS
- Statistical analysis methods for chemists : a software-based approach
- Statistical analysis of categorical data
- Statistical analysis with R : beginner's guide
- Statistical computing
- Statistical computing in Pascal
- Statistical disclosure control for microdata : methods and applications in R
- Statistical methods and computer applications
- Statistics and data analysis for microarrays using R and Bioconductor
- Statistics and measurement concepts with OpenStat
- Statistics using stata : an integrative approach
- Statistics with JMP : hypothesis tests, ANOVA, and regression
- Statistics with Stata : updated for Version 12
- Statistics with Stata : updated for version 9
- Symbolic computation for statistical inference
- The R book
- The R software : fundamentals of programming and statistical analysis
- The Stata survival manual
- The basics of S and S-Plus
- The basics of S-Plus
- The data science design manual
- The little SAS book : a primer
- The student guide to Minitab Release 14
- Towards advanced data analysis by combining soft computing and statistics
- Two-way analysis of variance : statistical tests and graphics using R
- Understanding statistics using R
- Using statistics in the social and health sciences with SPSS and Excel
- Using statistics in the social and health sciences with SPSS and Excel
- Übungen zur Statistik

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/n6JS3XfembM/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/n6JS3XfembM/">Mathematical statistics -- Data processing</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>`