Statistical Modeling and Computation

• Main Authors: Kroese, Dirk P. (Author), C.C. Chan, Joshua (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Subjects: Statistics.; Statistics and Computing/Statistics Programs.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistical Theory and Methods.

This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of...

Table of Contents:

• Probability Models
• Random Variables and Probability Distributions
• Joint Distributions
• Common Statistical Models
• Statistical Inference
• Likelihood
• Monte Carlo Sampling
• Bayesian Inference
• Generalized Linear Models
• Dependent Data Models
• State Space Models
• References
• Solutions
• MATLAB Primer
• Mathematical Supplement
• Index.