#
Mathematical statistics -- Data processing
Resource Information
The concept ** Mathematical statistics -- Data processing** represents the subject, aboutness, idea or notion of resources found in **Massey University Library, University of New Zealand**.

The Resource
Mathematical statistics -- Data processing
Resource Information

The concept

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

## Context

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

- A course in computational probability and statistics
- A course in statistics with R
- A handbook of statistical analyses using S-PLUS
- A handbook of statistical analyses using S-PLUS
- A handbook of statistical analyses using SAS
- A primer in biological data analysis and visualization using R
- A primer in biological data analysis and visualization using R
- Amos 4.0 user's guide
- Amos 7.0 user's guide
- An introduction to data analysis using aggregation functions in R
- An introduction to programming with IDL : Interactive Data Language
- An introduction to secondary data analysis with IBM SPSS statistics
- An introduction to statistical computing : a simulation-based approach
- An introduction to statistics with Python : with applications in the life sciences
- Analysis of correlated data with SAS and R
- Analyzing and interpreting continuous data using JMP : a step-by-step guide
- Applications, basics, and computing of exploratory data analysis
- Applied psychometrics using SAS
- Applied statistical inference with MINITAB
- Applied statistics : a handbook of Genstat analyses
- Applied statistics : using SPSS, STATISTICA, and MATLAB
- Applied statistics : using SPSS, Statistica, MATLAB, and R
- Applied statistics and the SAS programming language
- Automated inequality proving and discovering
- BASIC statistics
- Basic statistical computing
- Basic statistics : an introduction with R
- Basic statistics : an introduction with R
- Basic statistics using Excel and MegaStat
- Basics of matrix algebra for statistics with R
- Beginning R : the statistical programming language
- Categorical data analysis using the SAS system
- Comparative approaches to using R and Python for statistical data analysis
- Complex surveys : a guide to analysis using R
- Computation for the analysis of designed experiments
- Computational Statistics
- Computational methods for data analysis
- Computational statistics
- Computational statistics : an introduction to R
- Computational statistics handbook with MATLAB
- Computational statistics in the earth sciences : with applications in MATLAB
- Computer intensive statistical methods : validation model selection and bootstrap
- Core concepts in data analysis : summarization, correlation and visualization
- Data analysis using SAS
- Data analysis using SAS Enterprise guide
- Data analysis using Stata
- Data analysis using Stata
- Data manipulation With R
- Deep learning with R
- Discovering statistics using SAS : (and sex and drugs and rock 'n' roll)
- Elementary statistics using SAS
- Elements of simulation
- Elements of statistical computing
- Extending R
- Foundations and applications of statistics : an introduction using R
- Foundations of statistical analyses and applications with SAS
- Genstat primer
- Getting started with R : an introduction for biologists
- Getting started with R : an introduction for biologists
- Graphics for statistics and data analysis with R
- Graphing calculator lab manual
- Guide to intelligent data analysis : how to intelligently make sense of real data
- Guide to intelligent data analysis : how to intelligently make sense of real data
- Hands-on programming with R
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Intermediate statistical methods and applications : a computer package approach
- Intermediate statistics using SPSS
- Introducing Monte Carlo methods with R
- Just enough SAS : a quick-start guide to SAS for engineers
- Lisp-Stat : an object-oriented environment for statistical computing and dynamic graphics
- Machine learning in production : developing and optimizing data science workflows and applications
- Mastering the SAS system
- Mathematical statistics with applications in R
- Meet Minitab : student release 14 for Windows
- Metadata management in statistical information processing : a unified framework for metadata-based processing of statistical data aggregates
- Minitab handbook : updated for Release 16
- Modern applied statistics with S
- Modern applied statistics with S-Plus
- Modern data science with R
- Multilevel and longitudinal modeling using stata
- Numerical methods of statistics
- Parallel 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
- Practical statistical methods : a SAS programming approach
- Pragmatic data analysis
- Probability and statistics for computer science
- Probability and statistics with reliability, queuing, and computer science applications
- 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
- Qualitative comparative analysis with R : a user's guide
- R by example
- R data analysis without programming
- R for statistics
- R in a nutshell
- R object-oriented programming : a practical guide to help you learn and understand the programming techniques necessary to exploit the full power 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
- Research methods for information systems
- SAS 9.4 language reference : concepts
- SAS essentials : a guide to mastering SAS for research
- SAS essentials : mastering SAS for data analytics
- SAS for data analysis : intermediate statistical methods, with 100 SAS programs
- SAS functions by example
- SAS/STAT software : changes and enhancements, release 8.2
- Scientific data analysis : an introduction to overdetermined systems
- SigmaPlot for scientists
- Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS
- Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R
- Statistical computation
- Statistical computation; proceedings.
- Statistical computing
- Statistical computing : an introduction to data analysis using S-Plus
- Statistical computing in Pascal
- Statistical computing with R
- Statistical disclosure control for microdata : methods and applications in R
- Statistical modelling in R
- Statistics Using R
- Statistics and data with R : an applied approach through examples
- Statistics and data with R : an applied approach through examples
- Statistics and measurement concepts with OpenStat
- Statistics using IBM SPSS : an integrative approach
- Statistics using SPSS : an integrative approach
- Statistics with JMP : hypothesis tests, ANOVA, and regression
- Statistics with Mathematica
- Statistics with Stata : updated for version 10
- Statistics with Stata : updated for version 12
- Step-by-step programming with Base SASĀ® 9 .4
- The R book
- The R student companion
- The Stata survival manual
- The accidental analyst : show your data who's boss
- The basics of S and S-Plus
- The basics of S-Plus
- The data science design manual
- The little SAS book : a primer
- The little SAS book : a primer; Fifth Edition
- The numerati
- Using R and RStudio for data management, statistical analysis, and graphics
- Using statistics in the social and health sciences with SPSS and Excel
- Using the R Commander : a point-and-click interface for R

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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.massey.ac.nz/resource/n6JS3XfembM/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.massey.ac.nz/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.massey.ac.nz/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.massey.ac.nz/">Massey University Library, University of New Zealand</a></span></span></span></span></div>`