1. Applied Probability. Lange, Kenneth [Browse] New York, NY : Springer, 2025.©2024. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2024 English International
2. Lectures on Advanced Topics in Categorical Data Analysis. Rudas, Tamás [Browse] Cham : Springer, 2025.©2024. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2024 English International
3. Matrix Algebra : Theory, Computations and Applications in Statistics / by James E. Gentle. Gentle, James E., 1943- [Browse] Cham : Springer International Publishing : Imprint: Springer, 2024. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2024 English International
4. An Introduction to Statistical Learning : with Applications in Python / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor. James, Gareth [Browse] Cham : Springer International Publishing : Imprint: Springer, 2023. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2023 English International
5. Bayes Factors for Forensic Decision Analyses with R / by Silvia Bozza, Franco Taroni, Alex Biedermann. Bozza, Silvia [Browse] Cham Springer Nature 2022Cham : Springer International Publishing : Imprint: Springer, 2022. Book
6. Fundamentals of high-dimensional statistics : with exercises and R labs / Johannes Lederer. Lederer, Johannes [Browse] Cham, Switzerland : Springer, [2022]©2022 Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2022 English International
7. Large sample techniques for statistics / Jiming Jiang. Jiang, Jiming [Browse] Cham, Switzerland : Springer, [2022]©2022 Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2022 English International
8. Testing statistical hypotheses / E. L. Lehmann and Joseph P. Romano. Lehmann, E. L. (Erich Leo), 1917-2009 [Browse] Cham, Switzerland : Springer International Publishing, [2022]©2022 Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2022 English International
9. Bayesian inference of state space models : Kalman filtering and beyond / Kostas Triantafyllopoulos. Triantafyllopoulos, Kostas [Browse] Cham, Switzerland : Springer International Publishing, [2021]©2021 Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2021 English International
10. An Introduction to Statistical Learning : with Applications in R / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. James, Gareth (Gareth Michael) [Browse] New York, NY : Springer US : Imprint: Springer, 2021. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2021 English International
11. Modern mathematical statistics with applications / Jay L. Devore, Kenneth N. Berk, Matthew A. Carlton. Devore, Jay L. [Browse] Cham, Switzerland : Springer, [2021]©2021 Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2021 English International
12. Plane Answers to Complex Questions : The Theory of Linear Models / by Ronald Christensen. Christensen, Ronald [Browse] Cham : Springer International Publishing : Imprint: Springer, 2020. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2020 English International
13. Statistical Learning from a Regression Perspective / by Richard A. Berk. Berk, Richard A. [Browse] Cham : Springer International Publishing : Imprint: Springer, 2020. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2020 English International
14. Statistics for health data science : an organic approach / Ruth Etzioni, Micha Mandel, Roman Gulati. Etzioni, Ruth [Browse] Cham, Switzerland : Springer, [2020]2020 Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2020 English International
15. Advanced Linear Modeling : Statistical Learning and Dependent Data / by Ronald Christensen. Christensen, Ronald [Browse] Cham : Springer International Publishing : Imprint: Springer, 2019. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2019 English International
16. A Graduate Course on Statistical Inference / by Bing Li, G. Jogesh Babu. Li, Bing [Browse] New York, NY : Springer New York : Imprint: Springer, 2019. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2019 English International
17. Generalized Linear Models With Examples in R / by Peter K. Dunn, Gordon K. Smyth. Dunn, Peter K. [Browse] New York, NY : Springer New York : Imprint: Springer, 2018. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2018 English International
18. Lectures on Categorical Data Analysis / by Tamás Rudas. Rudas, Tamás [Browse] New York, NY : Springer US : Imprint: Springer, 2018. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2018 English International
19. Statistical Data Analysis Using SAS : Intermediate Statistical Methods / by Mervyn G. Marasinghe, Kenneth J. Koehler. Marasinghe, Mervyn G. [Browse] Cham : Springer International Publishing : Imprint: Springer, 2018. Book Online Springer Nature - Springer Mathematics and Statistics eBooks 2018 English International
20. Design and Analysis of Experiments / by Angela Dean, Daniel Voss, Danel Draguljić. Dean, Angela [Browse] Cham : Springer International Publishing : Imprint: Springer, 2017. Book