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  2. Principle - Wikipedia

    en.wikipedia.org/wiki/Principle

    Another early one developed by Malthus is the population principle, now called the Malthusian principle. [8] Freud also wrote on principles, especially the reality principle necessary to keep the id and pleasure principle in check. Biologists use the principle of priority and principle of Binominal nomenclature for precision in naming species.

  3. Propensity probability - Wikipedia

    en.wikipedia.org/wiki/Propensity_probability

    David Lewis called this the principal principle, [12] The principle states: The Principal Principle. Let C be any reasonable initial credence function. Let t be any time. Let x be any real number in the unit interval. Let X be the proposition that the chance, at time t, of A's holding equals x.

  4. Principal type - Wikipedia

    en.wikipedia.org/wiki/Principal_type

    The principal typing property requires that, given a term, there exist a typing (i.e. a pair with a context and a type) which is an instance of all possible typings of the term. The principal typing property can be confused with the principal type property but is distinct.

  5. Principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Principal_component_analysis

    Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.

  6. List of principal and guide meridians and base lines of the ...

    en.wikipedia.org/wiki/List_of_principal_and...

    Figure 1. This BLM map depicts the principal meridians and baselines used for surveying states (colored) in the PLSS.. The following are the principal and guide meridians and base lines of the United States, with the year established and a brief summary of what areas' land surveys are based on each.

  7. Cauchy principal value - Wikipedia

    en.wikipedia.org/wiki/Cauchy_principal_value

    The principal value is the inverse distribution of the function and is almost the only distribution with this property: =: =.. ⁡ +, where is a constant and the Dirac distribution. In a broader sense, the principal value can be defined for a wide class of singular integral kernels on the Euclidean space R n {\displaystyle \mathbb {R} ^{n}} .

  8. Principal value - Wikipedia

    en.wikipedia.org/wiki/Principal_value

    In mathematics, specifically complex analysis, the principal values of a multivalued function are the values along one chosen branch of that function, so that it is single-valued. A simple case arises in taking the square root of a positive real number .

  9. Pigeonhole principle - Wikipedia

    en.wikipedia.org/wiki/Pigeonhole_principle

    Although the pigeonhole principle appears as early as 1624 in a book attributed to Jean Leurechon, [2] it is commonly called Dirichlet's box principle or Dirichlet's drawer principle after an 1834 treatment of the principle by Peter Gustav Lejeune Dirichlet under the name Schubfachprinzip ("drawer principle" or "shelf principle"). [3]