#
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**.

The Resource
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**.- Label
- 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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