#
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
Resource Information

The concept

**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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## Context

Context of MATHEMATICS -- Probability & Statistics | General#### Subject of

- 25 recipes for getting started with R
- A career in statistics : beyond the numbers
- A course in probability theory
- A first course in probability and Markov chains
- A guide to business statistics
- A probability and statistics companion
- Advanced Object-Oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance
- Advances in heavy tailed risk modeling : a handbook of operational risk
- An accidental statistician : the life and memories of George E.P. Box
- An introduction to discrete-valued time series
- Analysis and probability
- Analyzing business data with Excel
- Applied Bayesian modelling
- Basic data analysis for time series with R
- Basic statistics : an introduction with R
- Big Data analytics with R and Hadoop : set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics
- Biosimilars : design and analysis of follow-on biologics
- Building better models with JMP Pro
- Carpenter's guide to innovative SAS techniques
- Categorical data analysis using SAS
- Categorical data analysis using the SAS system
- Causation, prediction, and search
- Classic problems of probability
- Clustering
- Cognitive interviewing methodology
- Combining and modifying SAS data sets : examples
- Common errors in statistics (and how to avoid them)
- Computational approaches to studying the co-evolution of networks and behavior in social dilemmas
- Counterfactuals and causal inference : methods and principles for social research
- Custom tasks for SAS Enterprise Guide using Microsoft .NET
- Data Manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively
- Data analysis : what can be learned from the past 50 years
- Data analysis with R : load, wrangle, and analyze your data using the world's most powerful statistical programming language
- Data manipulation with R : efficiently perform data manipulation using the split-apply-combine strategy in R
- Data mashups in R
- Data science in R : a case studies approach to computational reasoning and problem solving
- Data scientists at work
- Designing and conducting business surveys
- Developing credit risk models using SAS Enterprise Miner and SAS/STAT : theory and applications
- Difference and differential equations with applications in queueing theory
- Digital dice : computational solutions to practical probability problems
- Dirichlet and Related Distributions : Theory, Methods and Applications
- Discovering JMP 10
- Discovering partial least squares with JMP
- Discrete time branching processes in random environment
- Dynamic Documents with R and knitr, Second Edition
- Elementary probability
- Elementary statistics using SAS
- Even you can learn statistics : a guide for everyone who has ever been afraid of statistics
- Even you can learn statistics and analytics : an easy to understand guide to statistics and analytics
- Everyday probability and statistics : health, elections, gambling and war
- Everyday probability and statistics : health, elections, gambling and war
- Examples and problems in mathematical statistics
- Excel Simulations
- Exploring everyday things with R and Ruby
- Fundamentals of applied probability and random processes
- Fundamentals of stochastic networks
- Game theory : through examples
- Gaming : the future's language
- Generalized linear and nonlinear models for correlated data : theory and applications using SAS
- Generic Inference : a Unifying Theory for Automated Reasoning
- Getting started with RStudio
- Getting started with the Graph Template Language in SAS : examples, tips, and techniques for creating custom graphs
- Graphic discovery : a trout in the milk and other visual adventures
- Guesstimation 2.0 : Solving Today's Problems on the Back of a Napkin
- Guesstimation : solving the world's problems on the back of a cocktail napkin
- Handbook of discrete-valued time series
- Handbook of exchange rates
- Handbook of game theory with economic applications, Volume 4
- Handbook of meta-analysis in ecology and evolution
- Handbook of probability
- How to be a quantitative ecologist : the 'A to R' of green mathematics and statistics
- Implementing CDISC using SAS : an end-to-end guide
- Instant R starter : jump into the R programming language and go beyound "Hell World!"
- Instant heat maps in R how-to : learn how to design heat maps in R to enhance your data analysis
- Introduction to Bayesian estimation and copula models of dependence
- Introduction to R for quantitative finance : solve a diverse range of problems with R, one of the most powerful tools for quantitative finance
- Introduction to Regular Expressions in SAS
- Introduction to imprecise probabilities
- Introduction to probability and statistical inference
- Introduction to probability and stochastic processes with applications
- Introduction to probability models
- Introduction to statistics through resampling methods and R
- Introduction to stochastic analysis : integrals and differential equations
- JMP 10 modeling and multivariate methods
- JMP 10 scripting guide
- JMP 11 JSL syntax reference
- JMP 11 basic analysis
- JMP 11 consumer research
- JMP 11 design of experiments guide
- JMP 11 essential graphing
- JMP 11 profilers
- JMP 11 scripting guide
- JMP 11 version JSL syntax reference
- JMP 12 consumer research
- JMP : version 12 : discovering JMP
- JMP for basic univariate and multivariate statistics : methods for researchers and social scientists
- JMP start statistics : a guide to statistics and data analysis using JMP
- JMP version 11 : Using JMP
- JMP version 11 fitting linear models
- JMP version 11 multivariate methods
- JMP version 11 quality and process methods
- JMP version 11 reliability and survival methods
- JSL companion : applications of the JMP scripting language
- Just plain data analysis : finding, presenting, and interpreting social science data
- Karl Pearson : the scientific life in a statistical age
- Learning SciPy for numerical and scientific computing : quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy
- Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms
- Log-gases and random matrices
- Longitudinal data and SAS : a programmer's guide
- Machine learning with R : discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R
- Machine learning with R cookbook : explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code
- Markov chains : analytic and Monte Carlo computations
- Master math : AP statistics
- Master math : probability
- Mastering RStudio : develop, communicate, and collaborate with R : harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations
- Mastering Windows Server 2012 R2
- Mastering data analysis with R : gain clear insights into your data and solve real-world data science problems with R - from data munging to modeling and visualization
- Mastering scientific computing with R
- Mathematical statistics
- Mathematical statistics
- Mathematical statistics and stochastic processes
- Metaheuristics for logistics
- Multiple factor analysis by example using R
- Multiple time series modeling using the SAS VARMAX procedure
- Nonlinear parameter optimization using R tools
- Nonparametric Comparative Statics and Stability
- Nonparametric hypothesis testing : rank and permutation methods with applications in R
- ODS techniques : tips for enhancing your SAS output
- Oracle GoldenGate 11g complete cookbook : over 60 simple and easy-to-follow recipes to perform various GoldenGate administration tasks such as installing, configuring, and maintaining GoldenGate replication
- PROBABILITY : a brief introduction
- PROC TABULATE by example
- PROC TEMPLATE made easy : a guide for SAS users
- Practical data analysis with JMP
- Practical data analysis with JMP
- Practical time series analysis using SAS
- Presenting data : how to communicate your message effectively
- Principles and practice of structural equation modeling
- Probability and statistics
- Probability and stochastic processes : a friendly introduction for electrical and computer engineers
- R Graphs cookbook : over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
- R for data science
- R high performance programming : overcome performance difficulties in R with a range of exciting techniques and solutions
- R in a nutshell
- R in a nutshell
- R statistical application development by example beginner's guide
- Recent advances in global optimization
- Repeated measurements and cross-over designs
- SAS 9.4 macro language : reference
- SAS business intelligence for the health care industry : practical applications
- SAS certification prep guide : base programming for SAS 9
- SAS encoding : understanding the details
- SAS for dummies
- SAS macro language magic : discovering advanced techniques
- SAS macro programming made easy
- SAS statistics by example
- SAS visual analytics 6.1 : getting started with exploration and reporting
- SPSS for dummies
- Sampling
- Simulating data with SAS
- Spatial statistics and spatio-temporal data : covariance functions and directional properties
- Stationary stochastic processes
- Statistical analysis for business using JMP : a student's guide
- Statistical analysis with Excel for dummies
- Statistical analysis with Excel for dummies
- Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R
- Statistical hypothesis testing with SAS and R
- Statistical independence in probability, analysis and number theory
- Statistical methods
- Statistical methods for quality improvement
- Statistical models
- Statistics : a very short introduction
- Statistics : problems and solutions
- Statistics and probability with applications for engineers and scientists
- Statistics and truth : putting chance to work
- Statistics done wrong : Statistik richtig anwenden und gängige Fehler vermeiden
- Statistics done wrong : the woefully complete guide
- Statistics for Six Sigma green belts : with Minitab and JMP
- Statistics for dummies
- Statistics in a nutshell
- Step-by-step programming with Base SAS 9.4
- Structural aspects in the theory of probability : a primer in probabilities on algebraic-topological structures
- Structural equation modeling with Mplus : basic concepts, applications, and programming
- Superconcentration and related topics
- Symmetric Markov processes, time change, and boundary theory
- Taking chances : winning with probability
- Teaching elementary statistics with JMP
- Ten steps to ITSM success : a practitioner's guide to enterprise IT transformation
- Testing statistical hypotheses of equivalence and noninferiority
- The Cambridge Dictionary of Statistics
- The Cambridge dictionary of statistics
- The Poisson-Dirichlet distribution and related topics : models and asymptotic behaviors
- The R book
- The R book
- The Sage dictionary of statistics : a practical resource for students in the social sciences
- The art of R programming : tour of statistical software design
- The bounds of reason : game theory and the unification of the behavioral sciences
- The complete idiot's guide to statistics
- The end of average : how we succeed in a world that values sameness
- The humongous book of statistics problems : translated for people who don't speak math!!
- The little SAS book : a primer
- The little SAS book : a primer
- The practice of data analysis : essays in honor of John W. Tukey
- The statistical analysis of failure time data
- Think stats
- U Can : statistics for dummies
- Uncertainty in risk assessment : the representation and treatment of uncertainties by probabilistic and non-probabilistic methods
- Understanding and applying basic statistical methods using R
- Understanding uncertainty
- Unsupervised learning with R : work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data
- Upper and lower bounds for stochastic processes : modern methods and classical problems
- Using JMP 10
- Using JMP 11
- Values of non-atomic games
- Visualize this : the FlowingData guide to design, visualization, and statistics
- What are the chances? : voodoo deaths, office gossip, and other adventures in probability
- Who's #1? : the science of rating and ranking
- Will You Be Alive 10 Years from Now? : And Numerous Other Curious Questions in Probability
- Willful ignorance : the mismeasure of uncertainty

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