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  2. Fisher (animal) - Wikipedia

    en.wikipedia.org/wiki/Fisher_(animal)

    Fisher (animal) - Wikipedia ... Fisher (animal)

  3. Fisher information - Wikipedia

    en.wikipedia.org/wiki/Fisher_information

    Definition. The Fisher information is a way of measuring the amount of information that an observable random variable carries about an unknown parameter upon which the probability of depends. Let be the probability density function (or probability mass function) for conditioned on the value of . It describes the probability that we observe a ...

  4. White-throated kingfisher - Wikipedia

    en.wikipedia.org/wiki/White-throated_kingfisher

    This is a large kingfisher, 27–28 cm (10.6–11.0 in) in length. The adult has a bright blue back, wings and tail. Its head, shoulders, flanks and lower belly are chestnut, and the throat and breast are white. The large bill and legs are bright red. The flight of the white-throated kingfisher is rapid and direct, the short rounded wings whirring.

  5. Iris flower data set - Wikipedia

    en.wikipedia.org/wiki/Iris_flower_data_set

    Iris flower data set

  6. List of trees and shrubs by taxonomic family - Wikipedia

    en.wikipedia.org/wiki/List_of_trees_and_shrubs...

    List of trees and shrubs by taxonomic family

  7. Relative species abundance - Wikipedia

    en.wikipedia.org/wiki/Relative_species_abundance

    Relative species abundance is a component of biodiversity and is a measure of how common or rare a species is relative to other species in a defined location or community. [1] Relative abundance is the percent composition of an organism of a particular kind relative to the total number of organisms in the area. [citation needed]

  8. Belted kingfisher - Wikipedia

    en.wikipedia.org/wiki/Belted_kingfisher

    Belted kingfisher

  9. Foundations of statistics - Wikipedia

    en.wikipedia.org/wiki/Foundations_of_statistics

    Fisher and Neyman diverged in their attitudes and, perhaps, their language. Fisher was a scientist and an intuitive mathematician, and inductive reasoning came naturally to him. Neyman, on the other hand, was a rigorous mathematician who relied on deductive reasoning rather than probability calculations based on experiments. [5]