statistical inference oor Koreaans

statistical inference

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en
(statistics) Drawing conclusions about a population from a random sample drawn from it, or, more generally, about a random process from its observed behavior during a finite period of time.

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en
process of deducing properties of an underlying probability distribution by analysis of data
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This text, edited by Gary Lorden, was based on lecture notes developed by Kiefer for a course in statistical inference he taught at Cornell University:
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Lehmann writes in : During this period [at University College, London ] Hsu wrote a remarkable series of papers on statistical inference which show the strong influence of the Neyman -Pearson point of view.
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As a consequence of the subjective approach, statistical inference is no longer an empirical process producing opinions from data, but it becomes a logical-psychological process selecting opinions compatible with data among the available ones.
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In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilists transformed the classical calculus of probability into a rigorous and pure mathematical theory.
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As usual in statistics the name can be considered inappropriate (an example of Stigler's law ) as the usual statistical simultaneous inference relies only on Boole 's inequality .
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Drawing an inference based on results that are inaccurate (i.e., not statistically significant) is risky.
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However he also wrote papers on a whole variety of topics in mathematical statistics including decision theory, inventory theory, stochastic approximation, queuing theory, nonparametric inference, estimation, sequential analysis, and conditional inference.
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