Probability and Statistics, The Science of Uncertainty, 2nd Edition by Michael Evans, Jeffrey Rosenthal PDF free download
Michael Evans, Jeffrey Rosenthal Probability and Statistics, The Science of Uncertainty, 2nd Edition PDF, was published in 2009 and uploaded for 300-level Science and Technology students of Federal University of Technology, Owerri (FUTO), offering STA301 course. This ebook can be downloaded for FREE online on this page.
Probability and Statistics, The Science of Uncertainty, 2nd Edition ebook can be used to learn probability models, Conditional Probability, Venn diagram, Random Variables, Discrete Distributions, Continuous Distributions, Cumulative Distribution Functions, Joint Distributions, Simulating Probability Distributions, expectation, Inequalities, Jensen’s Inequality, Sampling Distributions, Limits, Central Limit Theorem, Monte Carlo Approximations, Normal Distribution Theory, Chi-Squared Distribution, Statistical Inference, statistical model, Data Collection, Finite Populations, Simple Random Sampling, Histograms, Survey Sampling, Descriptive Statistics, Plotting Data, Likelihood Inference, Maximum Likelihood Estimation, Distribution-Free Methods, Bayesian Inference, Bayesian Computations, Optimal Inferences, Optimal Unbiased Estimation, Optimal Hypothesis Testing, quantitative response, Simple Linear Regression Model, Bayesian Simple Linear Model, Multiple Linear Regression Model, Markov Chains, Gambler’s Ruin Problem, Markov Chain Monte Carlo, Martingales, Brownian Motion, Poisson Processes.