Here is the full list of best reference books on Statistical Modeling.
|1. “Density Estimation for Statistics and Data Analysis” by B. W. Silverman|
|2. “Tools for Statistical Inference” by M. A. Tanner|
|3. “An Introduction to the Bootstrap” by B. Efron and R. J. Tibshirani|
|4. ” Statistical Digital Signal Processing and Modeling ” by Monson H. Hayes|
|5. ” Modeling and Simulation Using MATLAB – Simulink: For ECE ” by Dr. Shailendra Jain, Dr. Sanjeevan Kapshe|
|6. ” Applied Predictive Modeling ” by Max Kuhn and Kjell Johnson|
|7. ” Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering ” by Dimitris G. Manolakis and Vinay K. Ingle|
|8. ” Statistical Rethinking: A Bayesian Course with Examples in R and Stan ” by Richard McElreath|
|9. ” Statistical Modeling and Computation ” by Dirk P. Kroese and Joshua C.C. Chan|
|10. ” Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis ” by Bruce Ratner|
If any more book needs to be added to the list of best books on Statistical Modeling Subject, please let us know.
Sanfoundry Global Education & Learning Series – Best Reference Books!