| 8181 |
9781315167565 |
Principles of Uncertainty: |
Joseph B. Kadane |
2021 |
Taylor & Francis |
Link |
| 8182 |
9780429324765 |
Statistics for Making Decisions: |
Nicholas T. Longford |
2021 |
Taylor & Francis |
Link |
| 8183 |
9781003143642 |
Gini Inequality Index: Methods and Applications |
Nitis Mukhopadhyay;
Partha Pratim Sengupta |
2021 |
Taylor & Francis |
Link |
| 8184 |
9781003139041 |
An Introduction to IoT Analytics: |
Harry G. Perros |
2021 |
Taylor & Francis |
Link |
| 8185 |
9781003019695 |
Understanding Elections through Statistics:
Polling, Prediction, and Testing |
Ole J. Forsberg |
2021 |
Taylor & Francis |
Link |
| 8186 |
9780429202759 |
An Introduction to Nonparametric Statistics: |
John E. Kolassa |
2021 |
Taylor & Francis |
Link |
| 8187 |
9781003021643 |
Spatial Analysis with R: Statistics, Visualization,
and Computational Methods |
Tonny J. Oyana |
2021 |
Taylor & Francis |
Link |
| 8188 |
9781003158745 |
Introduction to High-Dimensional Statistics: |
Christophe Giraud |
2021 |
Taylor & Francis |
Link |
| 8189 |
9781003055037 |
Mathematical Modeling and Computation of Real- Time Problems: An Interdisciplinary Approach |
Rakhee Kulshrestha; Chandra Shekhar; Madhu Jain; Srinivas R.
Chakravarthy |
2021 |
Taylor & Francis |
Link |
| 8190 |
9781003100270 |
An Introduction to Acceptance Sampling and SPC
with R: |
John Lawson |
2021 |
Taylor & Francis |
Link |
| 8191 |
9781315366630 |
Probability and Statistical Inference: From Basic
Principles to Advanced Models |
Jeremy Penzer; Miltiadis
C. Mavrakakis |
2021 |
Taylor & Francis |
Link |
| 8192 |
9781003042259 |
Linear Algebra and Its Applications with R: |
Ruriko Yoshida |
2021 |
Taylor & Francis |
Link |
| 8193 |
9780367855420 |
R for Health Data Science: |
Ewen Harrison; Riinu Pius |
2021 |
Taylor & Francis |
Link |
| 8194 |
9781003010623 |
R for Political Data Science: A Practical Guide |
Francisco Urdinez; Andres
Cruz |
2021 |
Taylor & Francis |
Link |
| 8195 |
9781315119694 |
Handbook of Statistical Methods for Randomized Controlled Trials: |
KyungMann Kim; Frank Bretz; Ying Kuen K. Cheung; Lisa V. Hampson |
2021 |
Taylor & Francis |
Link |
| 8196 |
9781003265986 |
Stochastic Modelling of Big Data in Finance: |
Anatoliy Swishchuk |
2023 |
Taylor & Francis |
Link |
| 8197 |
9781003160632 |
Discrete Stochastic Models and Applications for
Reliability Engineering and Statistical Quality Control: |
Serkan Eryilmaz |
2023 |
Taylor & Francis |
Link |
| 8198 |
9781003051251 |
Optimization Modelling Using R: |
Timothy R. Anderson |
2023 |
Taylor & Francis |
Link |
| 8199 |
9781315269986 |
Non-Homogeneous Markov Chains and Systems:
Theory and Applications |
P.-C.G. Vassiliou |
2023 |
Taylor & Francis |
Link |
| 8200 |
9781003160700 |
Data Driven Strategies: Theory and Applications |
Ricardo A. Ramirez- Mendoza; Wang Jianhong; Ruben Morales-Menendez |
2023 |
Taylor & Francis |
Link |
