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  2. Taylor's theorem | Wikipedia

    en.wikipedia.org/wiki/Taylor's_theorem

    v. t. e. In calculus, Taylor's theorem gives an approximation of a -times differentiable function around a given point by a polynomial of degree , called the -th-order Taylor polynomial. For a smooth function, the Taylor polynomial is the truncation at the order of the Taylor series of the function.

  3. Taylor series | Wikipedia

    en.wikipedia.org/wiki/Taylor_series

    Nonstandard analysis. v. t. e. In mathematics, the Taylor series or Taylor expansion of a function is an infinite sum of terms that are expressed in terms of the function's derivatives at a single point. For most common functions, the function and the sum of its Taylor series are equal near this point.

  4. Bootstrapping (statistics) | Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    Bootstrapping (statistics) Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model estimated from the data. [1] Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates. [2][3] This technique ...

  5. Binomial distribution | Wikipedia

    en.wikipedia.org/wiki/Binomial_distribution

    The binomial distribution is frequently used to model the number of successes in a sample of size n drawn with replacement from a population of size N. If the sampling is carried out without replacement, the draws are not independent and so the resulting distribution is a hypergeometric distribution, not a binomial one.

  6. Whistleblower testifies Titan sub tragedy was 'inevitable' | AOL

    www.aol.com/whistleblower-testifies-titan-sub...

    A former employee of the company behind the doomed Titan submersible has told a public hearing he believed a safety incident was "inevitable" as the firm "bypassed" all standard rules.

  7. Kalman filter | Wikipedia

    en.wikipedia.org/wiki/Kalman_filter

    The Kalman filter is a recursive estimator. This means that only the estimated state from the previous time step and the current measurement are needed to compute the estimate for the current state. In contrast to batch estimation techniques, no history of observations and/or estimates is required.

  8. The 'Saturday Night Live' cast is here! Who's new, who's ...

    www.aol.com/news/saturday-night-live-cast-whos...

    Here's the full list of returning cast members: Michael Che. Mikey Day. Andrew Dismukes. Chloe Fineman. Heidi Gardner. Marcello Hernández. James Austin Johnson. Colin Jost.

  9. Laplace transform | Wikipedia

    en.wikipedia.org/wiki/Laplace_transform

    In mathematics, the Laplace transform, named after Pierre-Simon Laplace (/ ləˈplɑːs /), is an integral transform that converts a function of a real variable (usually , in the time domain) to a function of a complex variable (in the complex-valued frequency domain, also known as s-domain, or s-plane). The transform is useful for converting ...