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  2. Fisher & Paykel - Wikipedia

    en.wikipedia.org/wiki/Fisher_&_Paykel

    Fisher & Paykel Appliances Holdings Limited (/ ˈ p aɪ k əl /) is a major appliance manufacturer founded in 1934. [3] It is a subsidiary of Chinese multinational home appliances company Haier [ 3 ] and is based in East Tāmaki , New Zealand.

  3. Fisher & Paykel Healthcare - Wikipedia

    en.wikipedia.org/wiki/Fisher_&_Paykel_Healthcare

    Fisher & Paykel Healthcare Corporation Limited (FPH) is a manufacturer, designer and marketer of products and systems for use in respiratory care, acute care, and the treatment of obstructive sleep apnea. Based in New Zealand, their products and systems are sold in around 120 countries worldwide.

  4. Fisherian runaway - Wikipedia

    en.wikipedia.org/wiki/Fisherian_runaway

    The peacock tail in flight, the classic example of an ornament assumed to be a Fisherian runaway. Fisherian runaway or runaway selection is a sexual selection mechanism proposed by the mathematical biologist Ronald Fisher in the early 20th century, to account for the evolution of ostentatious male ornamentation by persistent, directional female choice.

  5. Scoring algorithm - Wikipedia

    en.wikipedia.org/wiki/Scoring_algorithm

    Scoring algorithm, also known as Fisher's scoring, [1] is a form of Newton's method used in statistics to solve maximum likelihood equations numerically, named after Ronald Fisher. Sketch of derivation

  6. Fisher information - Wikipedia

    en.wikipedia.org/wiki/Fisher_information

    In general, the Fisher information matrix provides a Riemannian metric (more precisely, the Fisher–Rao metric) for the manifold of thermodynamic states, and can be used as an information-geometric complexity measure for a classification of phase transitions, e.g., the scalar curvature of the thermodynamic metric tensor diverges at (and only ...

  7. Iris flower data set - Wikipedia

    en.wikipedia.org/wiki/Iris_flower_data_set

    Scatterplot of the data set. The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. [1]

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