Abstract
A hypothesis is a statement about a population parameter θ, and in hypothesis testing there are two competing hypotheses called the null hypothesis Ho ≡ H 0 and the alternative hypothesis \(H_{1} \equiv H_{A}\). Let Θ 1 and Θ 0 be disjoint sets with Θ i ⊂ Θ where Θ is the parameter space. Then Ho: θ ∈ Θ 0 and H 1: θ ∈ Θ 1.
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Olive, D.J. (2014). Testing Statistical Hypotheses. In: Statistical Theory and Inference. Springer, Cham. https://doi.org/10.1007/978-3-319-04972-4_7
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DOI: https://doi.org/10.1007/978-3-319-04972-4_7
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