The Statistical Approach

Charles A. Rohde
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Charles A. Rohde: Johns Hopkins University, Bloomberg School of Health

Chapter Chapter 2 in Introductory Statistical Inference with the Likelihood Function, 2014, pp 11-16 from Springer

Abstract: Abstract Assume that we have observed data D = x which was the result of a random experiment X (or can be approximated as such). The data are then modelled using 1. A sample space, 𝒳 $$\mathcal{X}$$ for the observed value of x 2. A probability density function for X at x, f(x; θ) 3. A parameter space for θ, Θ $$\Theta $$

Keywords: Random Experiment; Sample Space; Expected Fisher Information; Inference Paradigm; Likelihood Paradigm (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10461-4_2

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DOI: 10.1007/978-3-319-10461-4_2

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