Texts in statistical science
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The series Texts in statistical science represents a set of related resources, especially of a specified kind, found in European University Institute Library.
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Texts in statistical science
Resource Information
The series Texts in statistical science represents a set of related resources, especially of a specified kind, found in European University Institute Library.
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- Texts in statistical science
51 Items in the Series Texts in statistical science
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- A computational approach to statistical learning
- A course in categorical data analysis
- A first course in linear model theory
- A primer on linear models
- An introduction to generalized linear models
- An introduction to nonparametric statistics
- Applied nonparametric statistical methods
- Bayes rules! : an introduction to Bayesian modeling with R
- Bayesian data analysis
- Bayesian data analysis
- Design and analysis of experiments with R
- Design of experiments : an introduction based on linear models
- Elementary applications of probability theory : with an introduction to stochastic differential equations
- Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
- Foundations of statistics for data scientists : with R and Python
- Generalized additive models : an introduction with R
- Generalized additive models : an introduction with R
- Generalized additive models : an introduction with R
- Introduction to functional data analysis
- Introduction to multivariate analysis : linear and nonlinear modeling
- Introduction to probability
- Introduction to probability
- Introduction to probability with R
- Introduction to statistical methods for financial models
- Linear algebra and matrix analysis for statistics
- Logistic regression models
- Modelling binary data
- Modern data science with R
- Practical multivariate analysis
- Pragmatics of uncertainty
- Principles of uncertainty
- Probability and Bayesian modeling
- Probability and statistical inference : from basic principles to advanced models
- Pólya urn models
- Randomization, bootstrap, and Monte Carlo methods in biology
- Sampling : design and analysis
- Statistical analysis of financial data : with examples in R
- Statistical inference : an integrated approach
- Statistical machine learning : a unified framework
- Statistical regression and classification : from linear models to machine learning
- Statistical rethinking : a Bayesian course with examples in R and Stan
- Statistical rethinking : a Bayesian course with examples in R and Stan
- Statistics for finance
- Stochastic processes : an introduction
- Stochastic processes with R : an introduction
- Texts in statistical science : graphics for statistics and data analysis with R
- The analysis of time series : an introduction
- Theory of stochastic objects : probability, stochastic processes, and inference
- Time series : a first course with bootstrap starter
- Time series : modeling, computation, and inference
- Time series : modeling, computation, and interface
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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.eui.eu/resource/sdyqG5jMSVI/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/sdyqG5jMSVI/">Texts in statistical science</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute Library</a></span></span></span></span></div>
