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  2. Currency sign (generic) - Wikipedia

    en.wikipedia.org/wiki/Currency_sign_(generic)

    The currency sign ¤ is a character used to denote an unspecified currency. It can be described as a circle the size of a lowercase character with four short radiating arms at 45° (NE), 135° (SE), 225° (SW) and 315° (NW). It is raised slightly above the baseline. The character is sometimes called scarab. [1] : 5.

  3. Generalized logistic distribution - Wikipedia

    en.wikipedia.org/wiki/Generalized_logistic...

    The sign (and therefore the handedness) of the skewness is the same as the sign of . Mode [ edit ] The mode (pdf maximum) can be derived by finding x {\displaystyle x} where the log pdf derivative is zero:

  4. History of sign language - Wikipedia

    en.wikipedia.org/wiki/History_of_sign_language

    History of known sign languages Juan Pablo Bonet, Reduccion de las letras y arte para enseñar a hablar a los mudos (Madrid, 1620). One of the earliest written references to a sign language is from the fifth century BC, in Plato's Cratylus, where Socrates says: "If we hadn't a voice or a tongue, and wanted to express things to one another, wouldn't we try to make signs by moving our hands ...

  5. Sanatorium Under the Sign of the Hourglass - Wikipedia

    en.wikipedia.org/wiki/Sanatorium_Under_the_Sign...

    Plot introduction. The novel takes the form of a collection of dreamlike, poetic short stories that reflect on the death of the narrator's father, as well as life in the modest Jewish quarter of Drohobycz, the provincial town in the Austro-Hungarian Empire where Schulz was born.

  6. Probability density function - Wikipedia

    en.wikipedia.org/wiki/Probability_density_function

    In probability theory, a probability density function (PDF), density function, or density of an absolutely continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the random variable would be equal to that sample.

  7. Log sum inequality - Wikipedia

    en.wikipedia.org/wiki/Log_sum_inequality

    The log sum inequality can be used to prove inequalities in information theory. Gibbs' inequality states that the Kullback-Leibler divergence is non-negative, and equal to zero precisely if its arguments are equal. [3] One proof uses the log sum inequality. The inequality can also prove convexity of Kullback-Leibler divergence.

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