## Aims and Scope

For more than a quarter of a century, this internationally recognized series has fostered the growth of statistical science by publishing upper level textbooks of high quality at reasonable prices. These texts, which cover new frontiers as well as developments in core areas, continue to have a major role in shaping the discipline through the education of young scientists both in statistics as well as in fields wherein the role of statistics is becoming increasingly important.

The series covers a very broad domain. Students in upper level undergraduate and graduate courses in biostatistics, epidemiology, probability and statistics will constitute the primary readership for the series. However, others in areas such as engineering, life science, business, environmental science and social science will find books of interest. Scientists in these areas will also find useful references since emphasis is placed on readability, real examples and case studies, and on tying theory into relevant software such as SAS, Stata, and R.

## Recently Published Titles

- An Introduction to Generalized Linear Models, Fourth Edition
- Graphics for Statistics and Data Analysis with R, Second Edition
- Linear Models and the Relevant Distributions and Matrix Algebra
- Theory of Stochastic Objects: Probability, Stochastic Processes and Inference
- Stochastic Processes: An Introduction, Third Edition
- Introduction to Functional Data Analysis
- Statistical Regression and Classification: From Linear Models to Machine Learning
- Introduction to Statistical Methods for Financial Models
- Generalized Additive Models: An Introduction with R, Second Edition
- Modern Data Science with R
- Stochastic Processes: From Applications to Theory
- Modeling and Analysis of Stochastic Systems, Third Edition
- Pragmatics of Uncertainty
- Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
- Essentials of Probability Theory for Statisticians
- Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition
- Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data
- Statistical Rethinking: A Bayesian Course with Examples in R and Stan
- Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition
- Mathematical Statistics: Basic Ideas and Selected Topics, Volume II
- Spatio-Temporal Methods in Environmental Epidemiology

**Click here to view all books in this series >>**

## Series Editors

**Joseph K. Blitzstein**

*Department of Statistics, Harvard University, Boston, USA*

[email protected]

**Julian J. Faraway**

*Department of Mathematical Sciences, University of Bath, UK*

[email protected]

**Martin A. Tanner**

*Department of Statistics, Northwestern University, Evanston, IL, USA*

[email protected]

**James V. Zidek**

*Department of Statistics, University of British Columbia, Vancouver, Canada*

[email protected]

## Want to Publish With Us?

If you are interested in proposing a book for the series, please contact one of the series editors or one of our statistics acquisitions editors.