- log-likelihood function
- мат. логарифмическая функция правдоподобия
Большой англо-русский и русско-английский словарь. 2001.
log-likelihood function
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Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of … Wikipedia
Log-normal distribution — Probability distribution name =Log normal type =density pdf μ=0 cdf μ=0 parameters =sigma > 0 infty < mu < infty support = [0,+infty)! pdf =frac{1}{xsigmasqrt{2piexpleft [ frac{left(ln(x) mu ight)^2}{2sigma^2} ight] cdf =frac{1}{2}+frac{1}{2}… … Wikipedia
Likelihood-ratio test — The likelihood ratio, often denoted by Lambda (the capital Greek letter lambda), is the ratio of the maximum probability of a result under two different hypotheses. A likelihood ratio test is a statistical test for making a decision between two… … Wikipedia
Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… … Wikipedia
Quasi-maximum likelihood — A quasi maximum likelihood estimate (QMLE, also known as a pseudo likelihood estimate or a composite likelihood estimate ) is an estimate of a parameter θ in a statistical model that is formed by maximizing a function that is related to the… … Wikipedia
Quasi-likelihood — In statistics, quasi likelihood estimation is one way of allowing for overdispersion, that is, greater variability in the data than would be expected from the statistical model used. It is most often used with models for count data or grouped… … Wikipedia
Score function — The term score function may refer to: * Scoring rule, in decision theory, a measure of one s performance when making decisions under uncertainty * Score (statistics), the derivative of the log likelihood function with respect to the parameter … Wikipedia
Logistic function — A logistic function or logistic curve is the most common sigmoid curve. It modelsthe S curve of growth of some set P . The initial stage of growth is approximately exponential; then, as saturation begins, the growth slows, and at maturity, growth … Wikipedia
Partition function (mathematics) — The partition function or configuration integral, as used in probability theory, information science and dynamical systems, is an abstraction of the definition of a partition function in statistical mechanics. It is a special case of a… … Wikipedia
Success likelihood index method — (SLIM)= Success Likelihood Index Method (SLIM) is a technique used in the field of Human reliability Assessment (HRA), for the purposes of evaluating the probability of a human error occurring throughout the completion of a specific task. From… … Wikipedia
Survival function — The survival function, also known as a survivor function or reliability function, is a property of any random variable that maps a set of events, usually associated with mortality or failure of some system, onto time. It captures the probability… … Wikipedia
