![]() 846 pages | October 2023 | Quadrangle Preface | Contents | Index | Back Cover | Datasets DUDADS Volumes: [1 | 2 | 3 | 4 | 5 | PDV] ![]() ![]() |
Chapter 01: Programming Primer (106 pages) P. Boily and J. Schellinck (with contributions from K. Cheung, A. Crowther, C. Ma, and E. Ghashim) Chapter 02: Multivariate Calculus for Data Analysis (40 pages) F. Donzelli and P. Boily Chapter 03: Overview of Linear Algebra (34 pages) F. Donzelli (with contributions by P. Boily) Chapter 04: Basics of Numerical Methods (46 pages) P. Boily (inspired by D. Guignard) Chapter 05: A Survey of Optimization (26 pages) P. Boily and K. Cheung Chapter 06: Probability and Applications (84 pages) P. Boily (inspired by R. Kulik) Chapter 07: Introductory Statistical Analysis (72 pages) P. Boily (with contributions from S. Hagiwara) Chapter 08: Classical Regression Analysis (82 pages) P. Boily (inspired by G. Lamothe) Chapter 09: Time Series and Forecasting (108 pages) P. Boily (inspired by R. Kulik) Chapter 10: Survey Sampling Methods (134 pages) P. Boily (inspired by P. Farrell) Chapter 11: The Design of Experiments (70 pages) P. Boily (inspired by D. Haziza) Chapter 12: Simulations and Modeling (23 pages) J. Schellinck and P. Boily |