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MATHEMATICS / Probability & Statistics / General
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The concept ** MATHEMATICS / Probability & Statistics / General** represents the subject, aboutness, idea or notion of resources found in **University of Missouri Libraries**.

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MATHEMATICS / Probability & Statistics / General
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**MATHEMATICS / Probability & Statistics / General**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
- MATHEMATICS / Probability & Statistics / General

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- A basic course in measure and probability : theory for applications
- A beginner's guide to structural equation modeling
- An introduction to SAS® university edition
- An introduction to categorical data analysis
- Applied linear regression
- Applied longitudinal analysis
- Bayesian analysis with Python : unleash the power and flexibility of the Bayesian framework
- Bayesian data analysis
- Bayesian data analysis
- Behavioral computational social science
- Business statistics made easy in SAS
- Categorical data analysis
- Cognitive interviewing methodology
- Concentration inequalities for sums and martingales
- Data analysis and approximate models : model choice, location-scale, analysis of variance, nonparametic regression and image analysis
- Design, analysis, and interpretation of genome-wide association scans
- Empirical model building : data, models, and reality
- Foundations of linear and generalized linear models
- Generalized linear mixed models : modern concepts, methods and applications
- Generalized linear models for categorical and continuous limited dependent variables
- Handbook of meta-analysis in ecology and evolution
- Handbook of quantile regression
- Handbook of survival analysis
- Hidden Semi-Markov models : theory, algorithms and applications
- How charts lie : getting smarter about visual information
- Introduction to imprecise probabilities
- Introduction to linear regression analysis
- JMP 13 basic analysis
- JMP 13 design of experiments guide
- JMP 13 essential graphing
- JMP : Version 12 : basic analysis
- JMP : version 12 : JSL syntax reference
- JMP : version 12 : design of experiments guide
- JMP : version 12 : essential graphing
- JMP : version 12 : multivariate methods
- JMP : version 12 : reliability and survival methods
- JMP : version 12 : scripting guide
- JMP version 12 fitting linear models
- Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
- Malliavin calculus for Lévy processes and infinite-dimensional Brownian motion : an introduction
- Mastering predictive analytics with R : master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts
- Mathematical statistics with resampling and R
- Mathematics of two-dimensional turbulence
- Methods and applications of longitudinal data analysis
- Modeling count data
- Modern approaches to clinical trials using SAS : classical, adaptive, and Bayesian methods
- Multivariate survival analysis and competing risks
- Negative binomial regression
- Non-parametric tests for complete data
- Normal approximations with Malliavin calculus : from Stein's method to universality
- Optimal learning
- Panel data analysis using EViews
- Pricing in general insurance
- Principles of applied statistics
- Principles of scientific methods
- 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 Projects for dummies
- R data analysis cookbook : over 80 recipes to help you breeze through your data analysis projects using R
- 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
- R quick syntax reference
- Random fields on the sphere : representation, limit theorems and cosmological applications
- Reasoning with data : an introduction to traditional and Bayesian statistics using R
- Regression analysis Microsoft Excel
- Regression analysis by example
- Regression analysis with Python : learn the art of regression analysis with Python
- Reproducible research with R and RStudio
- Richly parameterized linear models : additive, time series, and spatial models using random effects
- SAS 9.4 intelligence platform : overview
- SAS Certification Prep Guide: Advanced Programming for SAS 9, Fourth Edition
- Simulation for data science with R : harness actionable insights from your data with computational statistics and simulations using R
- Statistical analysis with R
- Statistical analysis with missing data
- Statistical and computational methods in brain image analysis
- Statistical methods for handling incomplete data
- Statistical methods for trend detection and analysis in the environmental sciences
- Statistical methods in biology : design and analysis of experiments and regression
- Statistical rethinking : a Bayesian course with examples in R and Stan
- Statistics
- Stochastic numerical methods : an introduction for students and scientists
- Structural equation modeling with AMOS : basic concepts, applications, and programming
- Structured decision making : a practical guide to environmental management choices
- Text mining with R : a tidy approach
- The improbability principle : why coincidences, miracles, and rare events happen every day
- Theory and methods of statistics
- Time series with mixed spectra
- Tree-based graph partitioning constraint
- Uncertainty in risk assessment : the representation and treatment of uncertainties by probabilistic and non-probabilistic methods
- Understanding large temporal networks and spatial networks : exploration, pattern searching, visualization and network evolution
- Using R for numerical analysis in science and engineering
- Using R for statistics

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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.library.missouri.edu/resource/aqSi9YGJSUE/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/aqSi9YGJSUE/">MATHEMATICS / Probability & Statistics / General</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`