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- W2912482690 abstract "The foundations of statistical inference are summarized beginning with regularity as embodied in probability theory. Both objective external probability and subjective internal Bayesian probability are discussed. The law of large numbers is the theoretical underpinning of the usefulness of probability. Objective large probability methods have led to concepts such as confidence intervals, hypothesis testing, and p-values. Subjective probability uses data to go from prior to posterior distributions. No known method of statistical inference can withstand all rational criticism. Important areas of inference arise from descriptive and graphical methods of summarizing data and are mentioned.Keywords:statistical inference;subjective Bayesian probability;frequency probability;confidence interval;hypothesis testing;p-value;posterior distribution" @default.
- W2912482690 created "2019-02-21" @default.
- W2912482690 creator A5011254051 @default.
- W2912482690 date "2014-09-29" @default.
- W2912482690 modified "2023-09-25" @default.
- W2912482690 title "Inference, Foundations of" @default.
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- W2912482690 doi "https://doi.org/10.1002/9781118445112.stat05868" @default.
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