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This textbook on statistical modeling and statistical inference will help superior undergraduate and graduate college students. Statistical Modeling and Computation offers a singular introduction to trendy Statistics from each classical and Bayesian views. It additionally gives an built-in remedy of Mathematical Statistics and trendy statistical computation, emphasizing statistical modeling, computational methods, and purposes. Every of the three elements will cowl subjects important to college programs. Half I covers the basics of chance concept. In Half II, the authors introduce all kinds of classical fashions that embrace, amongst others, linear regression and ANOVA fashions. In Half III, the authors address the statistical evaluation and computation of varied superior fashions, corresponding to generalized linear, state-area and Gaussian fashions. Specific consideration is paid to quick Monte Carlo methods for Bayesian inference on these fashions. All through the book the authors embrace numerous illustrative examples and solved issues. The book additionally encompasses a part with options, an appendix that serves as a MATLAB primer, and a mathematical complement.
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