#
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 **University of Missouri Libraries**.

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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**University of Missouri Libraries**.- Label
- Texts in statistical science

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- A course in categorical data analysis
- A course in large sample theory
- An introduction to generalized linear models
- Applied Bayesian forecasting and times series analysis
- Applied categorical and count data analysis
- Applied nonparametric statistical methods
- Bayes and empirical Bayes methods for data analysis
- Bayesian data analysis
- Bayesian data analysis
- Bayesian data analysis
- Bayesian data analysis
- Bayesian methods for data analysis
- Computer-aided multivariate analysis
- Computer-aided multivariate analysis
- Data driven statistical methods
- Epidemiology : study design and data analysis
- Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
- Generalized additive models : an introduction with R
- Generalized linear mixed models : modern concepts, methods and applications
- Introduction to probability
- Introduction to probability
- Markov chain Monte Carlo : stochastic simulation for Bayesian inference
- Modeling and analysis of stochastic systems
- Modelling survival data in medical research
- Multivariate survival analysis and competing risks
- Multivariate survival analysis and competing risks
- Randomization, bootstrap and Monte Carlo methods in biology
- Richly parameterized linear models : additive, time series, and spatial models using random effects
- Statistical inference : an integrated approach
- Statistical methods for SPC and TQM
- 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
- Statistics in human genetics and molecular biology
- Stochastic processes : an introduction
- The analysis and interpretation of multivariate data for social scientists
- Theory of stochastic objects : probability, stochastic processes, and inference

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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/sdyqG5jMSVI/" typeof="Series http://bibfra.me/vocab/lite/Series"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/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.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>`