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  2. Lagrange multiplier - Wikipedia

    en.wikipedia.org/wiki/Lagrange_multiplier

    In mathematical optimization, the method of Lagrange multipliers is a strategy for finding the local maxima and minima of a function subject to equation constraints (i.e., subject to the condition that one or more equations have to be satisfied exactly by the chosen values of the variables). [1] It is named after the mathematician Joseph-Louis ...

  3. Symbolab - Wikipedia

    en.wikipedia.org/wiki/Symbolab

    Symbolab is an answer engine [1] that provides step-by-step solutions to mathematical problems in a range of subjects. [2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011. In 2020, the company was acquired by American educational technology website Course Hero. [3] [4]

  4. Minimax estimator - Wikipedia

    en.wikipedia.org/wiki/Minimax_estimator

    F. Perron and E. Marchand (2002), "On the minimax estimator of a bounded normal mean," Statistics and Probability Letters 58: 327–333. R. Fandom Noubiap and W. Seidel (2001), "An Algorithm for Calculating Gamma-Minimax Decision Rules under Generalized Moment Conditions," Annals of Statistics, August, 2001, vol. 29, no. 4, pp. 1094–1116

  5. These Calculators Make Quick Work of Standard Math ... - AOL

    www.aol.com/best-calculators-students...

    Best Scientific Calculator: Casio fx-115ESPLUS2 2nd Edition Advanced Scientific Calculator. ... or statistics problems, this Casio model is a great fit. The large four-line, 14-character display ...

  6. Computer algebra system - Wikipedia

    en.wikipedia.org/wiki/Computer_algebra_system

    In 1987, Hewlett-Packard introduced the first hand-held calculator CAS with the HP-28 series. [1] Other early handheld calculators with symbolic algebra capabilities included the Texas Instruments TI-89 series and TI-92 calculator, and the Casio CFX-9970G. [2]

  7. Generalized estimating equation - Wikipedia

    en.wikipedia.org/wiki/Generalized_estimating...

    [1] [2] Regression beta coefficient estimates from the Liang-Zeger GEE are consistent, unbiased, and asymptotically normal even when the working correlation is misspecified, under mild regularity conditions. GEE is higher in efficiency than generalized linear models (GLMs) in the presence of high autocorrelation. [1]

  8. Canonical correlation - Wikipedia

    en.wikipedia.org/wiki/Canonical_correlation

    In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices.If we have two vectors X = (X 1, ..., X n) and Y = (Y 1, ..., Y m) of random variables, and there are correlations among the variables, then canonical-correlation analysis will find linear combinations of X and Y that have a maximum ...

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