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

The Resource
MATHEMATICS / Applied
Resource Information

The concept

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

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- bisacsh

## Context

Context of MATHEMATICS / Applied#### Subject of

- A beginner's guide to structural equation modeling
- A classical introduction to Galois theory
- A functional analysis framework for modeling, estimation, and control in science and engineering
- Agent zero : toward neurocognitive foundations for generative social science
- An introduction to SAS® university edition
- An introduction to categorical data analysis
- Applied linear regression
- Applied singular integral equations
- Bayesian analysis with Python : unleash the power and flexibility of the Bayesian framework
- Business statistics made easy in SAS
- Clinical graphs using SAS
- Computational materials science : an introduction
- Concentration inequalities for sums and martingales
- Continuous time dynamical systems : state estimation and optimal control with orthogonal functions
- Design, analysis, and interpretation of genome-wide association scans
- Exploratory factor analysis with SAS
- Financial enterprise risk management
- First steps in random walks : from tools to applications
- Generalized Sylvester equations : unified parametric solutions
- Generalized convexity, nonsmooth variational inequalities, and nonsmooth optimization
- Handbook of quantile regression
- Hidden Semi-Markov models : theory, algorithms and applications
- 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
- Knock on wood : luck, chance, and the meaning of everything
- Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
- Linear algebra and probability for computer science applications
- Mastering predictive analytics with R : master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts
- Mathematical foundations for signal processing, communications, and networking
- Mathematical game theory and applications
- Mathematical statistics with resampling and R
- Mathematical techniques for wave interaction with flexible structures
- Mathematics for the life sciences
- Mathematics in twentieth-century literature and art : content, form, meaning
- Methods and applications of longitudinal data analysis
- Modern approaches to clinical trials using SAS : classical, adaptive, and Bayesian methods
- Natural element method for the simulation of structures and processes
- New trends in the physics and mechanics of biological systems : École de physique des Houches, session XCII, 6-31 July 2009
- Non-parametric tests for censored data
- Numerical methods for equations and its applications
- Ordinary and partial differential equations
- Quantitative finance
- 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
- Reasoning with data : an introduction to traditional and Bayesian statistics using R
- Regression analysis Microsoft Excel
- 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 rethinking : a Bayesian course with examples in R and Stan
- Stochastic numerical methods : an introduction for students and scientists
- Strategies for formulations development : a step-by-step guide using JMP
- Structural equation modeling with AMOS : basic concepts, applications, and programming
- Text mining with R : a tidy approach
- Theory and methods of statistics
- Totally nonnegative matrices
- Using R for statistics
- Weakly connected nonlinear systems : boundedness and stability of motion

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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/fGnFjZGt3jo/" 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/fGnFjZGt3jo/">MATHEMATICS / Applied</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>`