#
MATHEMATICS -- Applied
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The concept ** MATHEMATICS -- Applied** represents the subject, aboutness, idea or notion of resources found in **Sydney Jones Library, University of Liverpool**.

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MATHEMATICS -- Applied
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**MATHEMATICS -- Applied**represents the subject, aboutness, idea or notion of resources found in**Sydney Jones Library, University of Liverpool**.- Label
- MATHEMATICS -- Applied

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- bisacsh

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- A first course in optimization
- Adaptive designs for sequential treatment allocation
- An introduction to SASÂ® university edition
- Application of fuzzy logic to social choice theory
- Applied multiple regression/correlation analysis for the behavioral sciences
- Artificial intelligence in power system optimization
- Base SAS 9.4 procedures guide
- Base SAS 9.4 procedures guide
- Base SAS 9.4 procedures guide
- Bayesian data analysis
- Bayesian networks : with examples in R
- Becoming a better boss : why good management is so difficult
- Biological computation
- Building better models with JMP Pro
- Business statistics made easy in SAS
- Clinical graphs using SAS
- Combining and modifying SAS data sets : examples
- Computational statistics : an introduction to R
- Computing in geographic information systems
- Control of fluid-containing rotating rigid bodies
- Current trends in Bayesian methodology with applications
- Data analysis with competing risks and intermediate states
- Data science in R : a case studies approach to computational reasoning and problem solving
- Design and analysis of experiments by douglas montgomery : a supplement for using JMP
- Deterministic network calculus : from theory to practical implementation
- Developing credit risk models using SAS Enterprise Miner and SAS/STAT : theory and applications
- Discovering JMP 11
- Discovering partial least squares with JMP
- Discrete event simulation for health technology assessment
- Dynamic documents with R and knitr
- Dynamic programming
- Even you can learn statistics and analytics : an easy to understand guide to statistics and analytics
- Exploring everyday things with R and Ruby
- Fractional Brownian motion : approximations and projections
- Fundamentals of statistical experimental design and analysis
- Fuzzy multiple objective decision making
- Getting started with the Graph Template Language in SAS : examples, tips, and techniques for creating custom graphs
- Inference for Heavy-Tailed Data : Applications in Insurance and Finance
- Inference on the Hurst parameter and the variance of diffusions driven by fractional Brownian motion
- Inferential models : reasoning with uncertainty
- 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 nature-inspired optimization
- Introduction to numerical and analytical methods with MATLAB for engineers and scientists
- Introduction to probability
- Iterative optimizers : difficulty measures and benchmarks
- JMP 11 JSL syntax reference
- JMP 11 basic analysis
- JMP 11 consumer research
- JMP 11 essential graphing
- JMP 11 profilers
- JMP 11 scripting guide
- JMP 11 version JSL syntax reference
- 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 : discovering JMP
- JMP : version 12 : essential graphing
- JMP : version 12 : multivariate methods
- JMP : version 12 : reliability and survival methods
- JMP : version 12 : scripting guide
- 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
- JMP version 12 fitting linear models
- JMP version 13 JSL syntax reference
- JMP version 13 fitting linear models
- JMP version 13 predictive and specialized modeling
- JMP version 13 profilers
- JMP version 13 quality and process methods
- JMP version 13 reliability and survival methods
- JMP version 13 scripting guide
- Jump into JMP Scripting
- Leading for organisational change : building purpose, motivation and belonging
- Learn R for Applied Statistics : With Data Visualizations, Regressions, and Statistics
- Limit theorems for multi-indexed sums of random variables
- Linear programming and algorithms for communication networks : a practical guide to network design, control, and management
- Machine learning with R : discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R
- Markov chains : analytic and Monte Carlo computations
- 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 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
- Meshless methods and their numerical properties
- Metaheuristics for logistics
- Methods and applications of longitudinal data analysis
- Modern R programming cookbook : recipes to simplify your statistical applications
- Multiple time series modeling using the SAS VARMAX procedure
- Multivariate time series analysis and applications
- Non-convex multi-objective optimization
- Nonlinear optimal control theory
- Nonparametric statistical process control
- Nonparametric statistics for social and behavioral sciences
- ODS techniques : tips for enhancing your SAS output
- Optimal estimation of dynamic systems
- Optimization : algorithms and applications
- Ordered regression models : parallel, partial, and non-parallel alternatives
- PROC TABULATE by example
- Partial differential equations : an introduction
- Past, present, and future of statistical science
- Perfect simulation
- Power electronic systems : Walsh analysis with MATLABÂ®
- Practical data analysis with JMP
- Practical time series analysis using SAS
- Probabilistic models for dynamical systems
- Probability and statistics for computer scientists
- R cookbook : proven recipes for data analysis, statistics, and graphics
- Regression analysis Microsoft Excel
- Risk Assessment and Evaluation of Predictions
- Robust cluster analysis and variable selection
- SAS 9.4 ODS graphics procedures guide
- SAS 9.4 graph template language : user's guide
- SAS 9.4 language reference : concepts
- SAS 9.4 language reference concepts
- SAS 9.4 macro language : reference
- SAS 9.4 macro language : reference
- SAS business intelligence for the health care industry : practical applications
- SAS for mixed models : introduction and basic applications
- SAS macro language magic : discovering advanced techniques
- SAS macro programming made easy
- SAS visual analytics 6.1 : getting started with exploration and reporting
- Semialgebraic statistics and latent tree models
- Sharpening your advanced SAS skills
- Spatial Point Patterns : Methodology and Applications with R
- Statistical analysis with missing data
- Statistical computing with R
- Statistics done wrong : Statistik richtig anwenden und gĂ¤ngige Fehler vermeiden
- Statistics done wrong : the woefully complete guide
- Statistics for mining engineering
- Statistics in Action : a Canadian Outlook
- Step-by-step programming with Base SAS 9.4
- Strategies for formulations development : a step-by-step guide using JMP
- Text mining with R : a tidy approach
- The book of R : a first course in programming and statistics
- Theory of multiobjective optimization
- Topics in mathematical analysis and applications
- U Can : statistics for dummies
- Using JMP 11
- Using JMP 12 student edition for Windows and Macintosh : the user's guide to statistics with JMP 12 student edition

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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.liverpool.ac.uk/resource/qWagQqtVDng/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/qWagQqtVDng/">MATHEMATICS -- Applied</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>

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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.liverpool.ac.uk/resource/qWagQqtVDng/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/qWagQqtVDng/">MATHEMATICS -- Applied</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>`