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Statistics -- Data processing
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The concept ** Statistics -- Data processing** represents the subject, aboutness, idea or notion of resources found in **University of Missouri Libraries**.

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Statistics -- Data processing
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**Statistics -- Data processing**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
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- 25 recipes for getting started with R
- A Python data analyst's toolkit : learn Python and Python-based libraries with applications in data analysis and statistics
- A computer-assisted approach to elementary statistics ; : examples and problems
- A gentle introduction to statistics using SAS studio
- A recipe for success using SAS University Edition : how to plan your first analytics project
- A relational join procedure as an addition to SAS : the statistical analysis system
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- APL-STAT : do-it-yourself guide to computational statistics using APL
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- An introduction to SAS® university edition
- Applications, basics, and computing of exploratory data analysis
- Applied econometrics with R
- Applied statistics : a handbook of Genstat analyses
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- Base SAS 9.4 procedures guide
- Basic Fortran for statistical analysis
- Basic statistics for business and economics : a computer-oriented text
- Beginning R 4 : from beginner to pro
- Beginning R : an introduction to statistical programming
- Beginning R : an introduction to statistical programming
- Beginning R : the statistical programming language
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- Beginning data science with R
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- Computational aspects of survey data processing
- Computational methods in statistics and econometrics
- Computational statistics
- Computer modeling for business and industry
- Computer usage for social scientists
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- Computing in statistical science through APL
- Data analysis and graphics using R : an example-based approach
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- Data analysis of asymmetric structures : advanced approaches in computational statistics
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- Developing credit risk models using SAS Enterprise Miner and SAS/STAT : theory and applications
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- Doing Bayesian Data Analysis, 2nd Edition
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- Elementary statistics for IBM PCs
- Elements of computational statistics
- Essential statistics using SAS university edition
- Exploring everyday things with R and Ruby
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- GENTLE INTRODUCTION TO STATISTICS USING SAS STUDIO IN THE CLOUD
- GETTING STARTED WITH SAS PROGRAMMING;USING SAS STUDIO IN THE CLOUD
- Genstat 5 release 3 reference manual
- Getting started with Haskell data analysis : put your data analysis techniques to work and generate publication-ready visualizations
- Getting started with RStudio
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- Gnuplot in action : understanding data with graphs
- Gnuplot in action : understanding data with graphs
- Great R, Level 1
- Guide to SAS/DB2
- Handbook of statistical procedures and their computer applications to education and the behavioral sciences
- Intermediate statistical methods and applications : a computer package approach
- Introduction to SAS University edition
- Introduction to STARPAC : the Standards Time Series and Regression Package
- Introduction to STARPAC : the standards time series and regression package
- Introduction to business statistics : a computer integrated approach
- Introduction to machine learning with R : rigorous mathematical analysis
- Introduction to statistical computer packages
- Introduction to statistical data processing
- Introductory statistics with R
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- Learning R
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- Machine learning 101 with Scikit-Learn and StatsModels
- Machine learning in R : automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks
- Mathematical statistics with resampling and R
- Minitab computer supplement to accompany James T. McClave and P. George Benson's Statistics for business and economics, sixth edition
- Minitab cookbook : over 110 practical recipes to explore the vast array of statistics in Minitab 17
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- Modern R programming cookbook : recipes to simplify your statistical applications
- Modern applied statistics with S
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- Nonlinear least squares regression using STARPAC : the Standards Time Series and Regression Package
- Nonlinear least squares regression using STARPAC : the standards times series and regression package
- Numerical issues in statistical computing for the social scientist
- P-CARES : probabilistic computer analysis for rapid evaluation of structures
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- Predictive modeling with SAS Enterprise Miner : practical solutions for business applications
- Predictive modeling with SAS Enterprise Miner : practical solutions for business applications, second edition
- Programming the statistical library
- R Data Visualization Recipes
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- R for Stata users
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- R graphics cookbook : practical recipes for visualizing data
- R in action : data analysis and graphics with R
- R in action : data analysis and graphics with R
- R programming by example : practical, hands-on projects to help you get started with R
- R programming fundamentals : deal with data using various modeling techniques
- R projects for dummies
- R statistics cookbook : over 100 recipes for performing complex statistical operations with R 3.5
- S : an interactive environment for data analysis and graphics
- SAS 9.4 Output Delivery System, 4th Edition
- SAS 9.4 SQL procedure : user's guide
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- SAS applications programming : a gentle introduction
- SAS for R users : a book for budding data scientists
- SAS introductory guide
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- SAS/Graph User's Guide : 1981 edition
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- SPSS regression models 12.0
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- SQL Server Indexing, Statistics, and Parameter Sniffing : Solving Performance Challenges by Designing Better Data Structures
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- Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS
- Statistical analysis using Excel LiveLessons, Volume 1
- Statistical analysis using Excel LiveLessons, Volume 2
- Statistical analysis using SPSS at the USDA-Fort Collins Computer Center
- Statistical analysis with Excel 2013 : advanced skills : introducing two-sample hypothesis testing
- Statistical analysis with Excel 2013 : essential skills
- Statistical analysis with Excel for dummies
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- Statistical analysis with R
- Statistical application development with R and Python : power of statistics using R and Python
- Statistical computation; proceedings
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- Statistical programming With SAS/IML software
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- Statistik mit R : eine praxisorientierte Einführung in R
- Stories in the spirit of precision journalism
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- The Essential Guide to SAS Dates and Times, Second Edition, 2nd Edition
- The P-STAT user's manual : version 8
- The art of R programming : tour of statistical software design
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