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  2. Exponential distribution - Wikipedia

    en.wikipedia.org/wiki/Exponential_distribution

    In probability theory and statistics, the exponential distribution or negative exponential distribution is the probability distribution of the distance between events in a Poisson point process, i.e., a process in which events occur continuously and independently at a constant average rate; the distance parameter could be any meaningful mono-dimensional measure of the process, such as time ...

  3. Exponentiation - Wikipedia

    en.wikipedia.org/wiki/Exponentiation

    Raising 0 to a negative exponent is undefined but, in some circumstances, it may be interpreted as infinity (). [ 26 ] This definition of exponentiation with negative exponents is the only one that allows extending the identity b m + n = b m ⋅ b n {\displaystyle b^{m+n}=b^{m}\cdot b^{n}} to negative exponents (consider the case m = − n ...

  4. Exponential function - Wikipedia

    en.wikipedia.org/wiki/Exponential_function

    Exponential functions with bases 2 and 1/2. In mathematics, the exponential function is the unique real function which maps zero to one and has a derivative equal to its value. The exponential of a variable ⁠ ⁠ is denoted ⁠ ⁡ ⁠ or ⁠ ⁠, with the two notations used interchangeably.

  5. Negative exponential distribution - Wikipedia

    en.wikipedia.org/?title=Negative_exponential...

    Retrieved from "https://en.wikipedia.org/w/index.php?title=Negative_exponential_distribution&oldid=203105739"

  6. E-function - Wikipedia

    en.wikipedia.org/wiki/E-function

    The exponential function is an E-function, in its case c n = 1 for all of the n. If λ is an algebraic number then the Bessel function J λ is an E-function. The sum or product of two E-functions is an E-function. In particular E-functions form a ring. If a is an algebraic number and f(x) is an E-function then f(ax) will be an E-function.

  7. Gamma distribution - Wikipedia

    en.wikipedia.org/wiki/Gamma_distribution

    In the shape-scale parametrization, X ~ Gamma(1, λ) has an exponential distribution with rate parameter 1/λ. If X ~ Gamma(ν/2, 2) (in the shape–scale parametrization), then X is identical to χ 2 (ν), the chi-squared distribution with ν degrees of freedom. Conversely, if Q ~ χ 2 (ν) and c is a positive constant, then cQ ~ Gamma(ν/2, 2c).

  8. He was the billionaire founder of India’s most valuable ...

    www.aol.com/finance/billionaire-founder-india...

    Last week, on Feb. 23, shareholders of Byju’s, the edtech firm that was once India’s most valuable startup, did what once would have been unthinkable: They voted to oust founder and one-time ...

  9. Characterizations of the exponential function - Wikipedia

    en.wikipedia.org/wiki/Characterizations_of_the...

    In mathematics, the exponential function can be characterized in many ways. This article presents some common characterizations, discusses why each makes sense, and proves that they are all equivalent. The exponential function occurs naturally in many branches of mathematics. Walter Rudin called it "the most important function in mathematics". [1]