This classic book provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. It assumes readers have a background in calculus, and offers a unique balance of theory and methodology.Chapter topics cover an introduction to statistics and data analysis, probability, random variables and probability distributions, mathematical expectation, some discrete probability distributions, some continuous probability distributions, functions of random variables, fundamental sampling distributions and data descriptions, one- and two-sample estimation problems, one- and two-sample tests of hypotheses, simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one factor experiments: general, factorial experiments (two or more factors), 2 k factorial experiments and fractions, nonparametric statistics, and statistical quality control.For individuals trying to apply statistical concepts to real-life, and analyze and interpret data.
瓊斯(Vaughan Jones)從瑞德麥斯特的觀念出發,提出了一個非常簡單、任何人都可能想到的想法。瓊斯不是紐結理論專家,他甚至也不是拓樸學家。他是一個分析學家,從事算子代數(operator algebras)的相關工作,這個領域和數學物理的連結很深。
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Statistical Inference
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Mathematics with Applications for the Management, Life, and Social Sciences
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