English-Russian Dictionary on Probability, Statistics, and Combinatorics. — Philadelphia and Moscow. Society for Industrial and Applied Mathematics and TVP Science Publishers. K. A. Borovkov. 1994.
Bernoulli distribution — Probability distribution name =Bernoulli type =mass pdf cdf parameters =1>p>0, pinR support =k={0,1}, pdf = egin{matrix} q=(1 p) mbox{for }k=0 p mbox{for }k=1 end{matrix} cdf = egin{matrix} 0 mbox{for }k … Wikipedia
Bernoulli process — In probability and statistics, a Bernoulli processis a discrete time stochastic process consisting ofa sequence of independent random variables taking values over two symbols. Prosaically, a Bernoulli process is coin flipping, possibly with an… … Wikipedia
Bernoulli trial — In the theory of probability and statistics, a Bernoulli trial is an experiment whose outcome is random and can be either of two possible outcomes, success and failure .In practice it refers to a single experiment which can have one of two… … Wikipedia
Bernoulli scheme — In mathematics, the Bernoulli scheme or Bernoulli shift is a generalization of the Bernoulli process to more than two possible outcomes.[1][2] Bernoulli schemes are important in the study of dynamical systems, as most such systems (such as Axiom… … Wikipedia
Loi de Bernoulli — Pour les articles homonymes, voir Théorème de Bernoulli. Bernoulli Paramètres (nombre réel) Support … Wikipédia en Français
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
Dummy variable (statistics) — In statistics and econometrics, particularly in regression analysis, a dummy variable (also known as an indicator variable) is one that takes the values 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to … Wikipedia
Probability-generating function — In probability theory, the probability generating function of a discrete random variable is a power series representation (the generating function) of the probability mass function of the random variable. Probability generating functions are… … Wikipedia
Categorical distribution — A categorical distribution is the most general distribution whose sample space is the set {1, 2, ..., n }.It is the generalization of the Bernoulli distribution for a categorical random variable.It should not be confused with the multinomial… … Wikipedia
Law of total cumulance — In probability theory and mathematical statistics, the law of total cumulance is a generalization to cumulants of the law of total probability, the law of total expectation, and the law of total variance. It has applications in the analysis of… … Wikipedia
Probability mass function — In probability theory, a probability mass function (abbreviated pmf) is a function that gives the probability that a discrete random variable is exactly equal to some value. A pmf differs from a probability density function (abbreviated pdf) in… … Wikipedia
