• and statistics, the law of the unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable...
    14 KB (2,085 words) - 15:17, 27 October 2023
  • Thumbnail for Expected value
    special cases of dependency the equality may hold. Law of the unconscious statistician: The expected value of a measurable function of X , {\displaystyle...
    52 KB (7,652 words) - 17:21, 17 May 2024
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    function. In some cases the latter integral is computed much more easily than the former. See Law of the unconscious statistician. Let g : R → R {\displaystyle...
    30 KB (4,938 words) - 14:28, 21 May 2024
  • Lotus (redirect from The lotus)
    steamship involved in the Lotus case criminal trial S.S.S. Lotus, an American sailing vessel Law of the unconscious statistician, a statistics theorem...
    5 KB (619 words) - 19:35, 19 March 2024
  • Marginal distribution (category Theory of probability distributions)
    over the distribution of all values of Y. This follows from the definition of expected value (after applying the law of the unconscious statistician) E...
    15 KB (1,986 words) - 20:55, 30 October 2023
  • Moment about the mean Standardized moment Skewness Kurtosis Locality Cumulant Factorial moment Expected value Law of the unconscious statistician Second moment...
    11 KB (1,000 words) - 14:07, 2 May 2024
  • JSTOR 2958222. Stigler, Stephen M. (1978). "Francis Ysidro Edgeworth, statistician". Journal of the Royal Statistical Society, Series A. 141 (3): 287–322. doi:10...
    66 KB (9,609 words) - 17:40, 12 April 2024
  • }e^{-sx}f_{X}(x)\,dx,} and the moment-generating function's definition expands (by the law of the unconscious statistician) to M X ( t ) = E ⁡ [ e t X...
    18 KB (2,791 words) - 01:24, 22 April 2024
  • unconscious statistician Law of total covariance Law of total cumulance Law of total expectation Law of total probability Law of total variance Law of truly...
    87 KB (8,290 words) - 14:04, 2 May 2024
  • _{\mathcal {H}}(\omega ,-)} is a probability measure. The Law of the unconscious statistician is then E ⁡ [ f ( X ) | H ] = ∫ f ( x ) κ H ( − , d x )...
    33 KB (5,959 words) - 13:04, 22 April 2024