weak law of large numbers

См. также в других словарях:

• Law of large numbers — The law of large numbers (LLN) is a theorem in probability that describes the long term stability of the mean of a random variable. Given a random variable with a finite expected value, if its values are repeatedly sampled, as the number of these …   Wikipedia

• Proof of the law of large numbers — Given X 1, X 2, ... an infinite sequence of i.i.d. random variables with finite expected value E(X 1 ) = E(X 2 ) = ... = µ < ∞, we are interested in the convergence of the sample average:overline{X} n= frac1n(X 1+cdots+X n). TOC The weak… …   Wikipedia

• Weak interaction — Standard model of particle physics …   Wikipedia

• Soviet law — Law that developed in the Soviet Union after the Russian Revolution of 1917 and that, after World War II, was assimilated by other communist states. Legislative enactments, including the constitution of the U.S.S.R., were the principal sources of …   Universalium

• dietary law — Judaism. law dealing with foods permitted to be eaten, food preparation and combinations, and the utensils and dishes coming into contact with food. Cf. kashruth. [1925 30] * * * ▪ religion Introduction       any of the prescriptions as to what… …   Universalium

• WLLN — Weak Law of Large Numbers (Academic & Science » Mathematics) …   Abbreviations dictionary

• probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… …   Universalium

• Central limit theorem — This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result… …   Wikipedia

• Convergence of random variables — In probability theory, there exist several different notions of convergence of random variables. The convergence of sequences of random variables to some limit random variable is an important concept in probability theory, and its applications to …   Wikipedia

• Asymptotic equipartition property — In information theory the asymptotic equipartition property (AEP) is a general property of the output samples of a stochastic source. It is fundamental to the concept of typical set used in theories of compression.Roughly speaking, the theorem… …   Wikipedia

• Ars Conjectandi — (Latin: The Art of Conjecturing) is a mathematical paper written by Jakob Bernoulli and published eight years after his death by his nephew, Niklaus Bernoulli, in 1713. The work both consolidated existing probability theory and added to the… …   Wikipedia