Statistics: Probability, Inference, and DecisionSets and functions; Elementary probability theory; Probability distributions; Special probability distributions; Frequency and sampling distributions; Estimation; Hypothesis testing; Bayesian inference; Decision theory; Regression and correlation; Sampling theory, experimental design, and analysis of variance; Nonparametric methods. |
Contents
Introduction | 1 |
Elementary Probability Theory | 41 |
Probability Distributions | 116 |
Copyright | |
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analysis of variance approximation assume assumptions b₁ Bayesian Bernoulli process beta distribution binomial distribution brand cars Chapter chi-square computed confidence interval consider curve decision maker decision rule defective degrees of freedom density function determine discussed elementary events equal Equation error estimate example Exercise expected payoff Figure fractile frequency distribution given graph H₁ hypothesis independent inferences interest likelihood likelihood function linear regression loss Lottery measurement median normal distribution observations occur p-value pairs parameter particular payoff table percent confidence interval Poisson possible values posterior distribution predict prior distribution prior probabilities prob probability distribution problem procedure random sample random variable ratio rejection region relationship relative frequency represent sample information sample mean sample result sample space sample variance sampling distribution Section simple situation standard deviation statistical statistician suppose theorem theory tion toss trials true utility function zero