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- W1569295019 abstract "This chapter discusses how statistical tests are designed and how p-values and confidence intervals for parameter defining distribution are derived. It uses the confidence function, which is essentially a graphical alternative to the standard approach with a heavier use of mathematical formulas. The chapter illustrates this approach with a few examples, both with a single parameter and when there are nuisance parameters present. It also discusses the planning aspects and power curve, which is the analysis of the Type II error of a proposed experiment. Overall the chapter is mathematically somewhat more involved than the previous ones, not necessarily in terms of complicated mathematics but in its use of mathematical formulas. The aim of the statistical analysis is to estimate this parameter using an estimator, which itself has a distribution because its value varies with the sample we draw from the population. Controlled Vocabulary Terms experimental errors; mathematical probability; p-value; probability; statistical probability" @default.
- W1569295019 created "2016-06-24" @default.
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- W1569295019 date "2011-03-20" @default.
- W1569295019 modified "2023-10-12" @default.
- W1569295019 title "Learning About Parameters, and Some Notes on Planning" @default.
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- W1569295019 doi "https://doi.org/10.1002/9781119992677.ch5" @default.
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