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

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**Boston University Libraries**.- Label
- Mathematical statistics -- Data processing

- Authority link
- http://id.loc.gov/authorities/subjects/sh85082137

## Context

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

- A Primer in Biological Data Analysis and Visualization Using R
- 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 SAS
- A handbook of statistical analyses using SAS
- A handbook of statistical analyses using Stata
- A handbook of statistical analyses using Stata
- An introduction to intermediate and advanced statistical analyses for sport and exercise scientists
- An introduction to programming with IDL : Interactive Data Language
- An introduction to statistical computing : a simulation-based approach
- Applied and computational statistics : a first course
- Applied psychometrics using SAS
- Applied statistics algorithms
- Applied statistics and the SAS programming language
- Applied statistics and the SAS programming language
- Categorical data analysis using the SAS system
- Complex surveys : a guide to analysis using R
- Computational methods for data analysis
- Computational methods for parsimonious data fitting
- Computational statistics
- Computational statistics
- Computational statistics
- Computational statistics : an introduction to R
- Computational statistics handbook with MATLAB
- Computational statistics handbook with MATLAB
- Computational statistics with R
- Computer intensive statistical methods : validation model selection and bootstrap
- Computing statistics under interval and fuzzy uncertainty : applications to computer science and engineering
- Data analysis using stata
- Data analysis with Microsoft Excel
- Data manipulation With R
- Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively
- Elementary statistics using SAS
- Excel 2007 for educational and psychological statistics : a guide to solving practical problems
- Exploratory and multivariate data analysis
- Extending the S system
- Frontiers in massive data analysis
- Guide to intelligent data analysis : how to intelligently make sense of real data
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Hierarchical modelling for the environmental sciences : statistical methods and applications
- Intelligent data analysis : an introduction
- Intermediate statistical methods and applications : a computer package approach
- Lectures in computational statistics
- Lisp-Stat : an object-oriented environment for statistical computing and dynamic graphics
- MACSYMA for statisticians
- Mastering the SAS system
- Mathematical statistics with Mathematica
- Modern applied statistics with S
- Modern applied statistics with S-PLUS
- Numerical methods of statistics
- Numerical methods of statistics
- Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python
- Practical statistical methods : a SAS programming approach
- 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
- R for data science : learn and explore the fundamentals of data science with R
- S : an interactive environment for data analysis and graphics
- SAS essentials : mastering SAS for data analytics
- SAS essentials : mastering SAS for data analytics
- SAS procedures guide : version 6
- SAS user's guide : statistics
- SAS/STAT user's guide : version 6
- SPSS for starters, Part 2
- Sharpening your advanced SAS skills
- Smoothing techniques : with implementation in S
- Statistical analysis methods for chemists : a software-based approach
- Statistical analysis with R : beginner's guide
- Statistical computing
- Statistical methods and computer applications
- Statistical modelling in R
- Statistical models in S
- Statistics with JMP : hypothesis tests, ANOVA, and regression
- Statistics with Mathematica
- Statistics with Stata : updated for version 8
- The R book
- The R book
- The Stata survival manual
- The basics of S and S-Plus
- The basics of S-PLUS
- The little SAS book : a primer
- The little SAS book : a primer : a programming approach
- Theoretical and experimental analysis of the generalization ability of some statistical learning algorithms
- Two-way analysis of variance : statistical tests and graphics using R
- Using statistics in the social and health sciences with SPSS and Excel

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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.bu.edu/resource/oNHboR9uOwI/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/resource/oNHboR9uOwI/">Mathematical statistics -- Data processing</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>`