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  2. Law of large numbers - Wikipedia

    en.wikipedia.org/wiki/Law_of_large_numbers

    The law of large numbers provides an expectation of an unknown distribution from a realization of the sequence, but also any feature of the probability distribution. [1] By applying Borel's law of large numbers, one could easily obtain the probability mass function. For each event in the objective probability mass function, one could ...

  3. Law of truly large numbers - Wikipedia

    en.wikipedia.org/wiki/Law_of_truly_large_numbers

    The law of truly large numbers (a statistical adage), attributed to Persi Diaconis and Frederick Mosteller, states that with a large enough number of independent samples, any highly implausible (i.e. unlikely in any single sample, but with constant probability strictly greater than 0 in any sample) result is likely to be observed. [1]

  4. Law of the iterated logarithm - Wikipedia

    en.wikipedia.org/wiki/Law_of_the_iterated_logarithm

    The law of iterated logarithms operates "in between" the law of large numbers and the central limit theorem.There are two versions of the law of large numbers — the weak and the strong — and they both state that the sums S n, scaled by n −1, converge to zero, respectively in probability and almost surely:

  5. Statistical regularity - Wikipedia

    en.wikipedia.org/wiki/Statistical_regularity

    It is an umbrella term that covers the law of large numbers, all central limit theorems and ergodic theorems. If one throws a dice once, it is difficult to predict the outcome, but if one repeats this experiment many times, one will see that the number of times each result occurs divided by the number of throws will eventually stabilize towards ...

  6. Glivenko–Cantelli theorem - Wikipedia

    en.wikipedia.org/wiki/Glivenko–Cantelli_theorem

    For every (fixed) , is a sequence of random variables which converge to () almost surely by the strong law of large numbers. Glivenko and Cantelli strengthened this result by proving uniform convergence of F n {\displaystyle \ F_{n}\ } to F . {\displaystyle \ F~.}

  7. Benford's law - Wikipedia

    en.wikipedia.org/wiki/Benford's_law

    Benford's law, also known as the Newcomb–Benford law, the law of anomalous numbers, or the first-digit law, is an observation that in many real-life sets of numerical data, the leading digit is likely to be small. [1] In sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the ...

  8. List of logarithmic identities - Wikipedia

    en.wikipedia.org/wiki/List_of_logarithmic_identities

    The harmonic numbers are a fundamental sequence in number theory and analysis, known for their logarithmic growth. This result leverages the fact that the sum of the inverses of integers (i.e., harmonic numbers) can be closely approximated by the natural logarithm function, plus a constant, especially when extended over large intervals.

  9. Kolmogorov's two-series theorem - Wikipedia

    en.wikipedia.org/wiki/Kolmogorov's_Two-Series...

    Download as PDF; Printable version; In other projects ... It follows from Kolmogorov's inequality and is used in one proof of the strong law of large numbers ...