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MATHEMATICS / Applied
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The concept ** MATHEMATICS / Applied** represents the subject, aboutness, idea or notion of resources found in **University of Missouri-St. Louis Libraries**.

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MATHEMATICS / Applied
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**MATHEMATICS / Applied**represents the subject, aboutness, idea or notion of resources found in**University of Missouri-St. Louis Libraries**.- Label
- MATHEMATICS / Applied

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- Advances in analytics and applications
- Advances in time series forecasting, Volume 2
- An introduction to SASĀ® university edition
- Analysis of categorical data : dual scaling and its applications
- Applied statistical theory and applications
- Approximate iterative algorithms
- Base SAS 9.4 procedures guide : statistical procedures
- Bayesian analysis of item response theory models using SASĀ®
- Bayesian analysis with Python : unleash the power and flexibility of the Bayesian framework
- Business survival analysis using SAS : an introduction to lifetime probabilities
- Carpenter's complete guide to the SAS macro language
- Decision science in action : theory and applications of modern decision analytic optimisation
- Differential games : a concise introduction
- Essential statistics using SAS university edition
- Exchanging Data between SAS and Microsoft Excel : Tips and Techniques to Transfer and Manage Data More Efficiently
- Genetic algorithms : advances in research and applications
- Invisible in the storm : the role of mathematics in understanding weather
- Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
- Modern approaches to clinical trials using SAS : classical, adaptive, and Bayesian methods
- Performance prediction and analytics of fuzzy, reliability and queuing models : theory and applications
- Probability : an introduction
- Probability : rules, methods, definitions, distribution definitions, types of distributions, everyday probability, expected value, making decisions & history
- Project management leadership : building creative teams
- Quantitative finance
- R : data analysis and visualization : a course in five modules
- R : mining spatial, text, web, and social media data : create and customize data mioning algorithms : a course in three modules
- R data mining : implement data mining techniques through practical use cases and real-world datasets
- R for data science cookbook : over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
- Regression analysis with Python : learn the art of regression analysis with Python
- SAS 9.4 intelligence platform : overview
- Simulation for data science with R : harness actionable insights from your data with computational statistics and simulations using R
- Step-by-step programming with Base SAS 9.4
- Survey sampling
- The Essential Guide to SAS Dates and Times
- The little SAS Enterprise Guide book
- The science of conjecture : evidence and probability before Pascal
- Totally nonnegative matrices
- What the luck? : the surprising role of chance in our everyday lives

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