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Likelihood function

💡 Words with a Similar Meaning to "Likelihood function"

Found via reverse dictionary — words that share a conceptual meaning.

WordDefinition
likelihood principleIn statistics, the likelihood principle is the proposition that, given a statistical model, all the evidence in a sample relevant to model parameters is contained in the likelihood function.
probability distributionnoun(statistics) A distribution of all possible values of a random variable together with an indication of their probabilities.
maximum likelihood estimationIn statistics, maximum likelihood estimation is a method of estimating the parameters of an assumed probability distribution, given some observed data.
probability distribution fittingProbability distribution fitting or simply distribution fitting is the fitting of a probability distribution to a series of data concerning the repeated measurement of a variable phenomenon.
probability density functionnoun(probability theory) Any function whose integral over a set gives the probability that a random variable has a value in that set.
probability theorynoun(mathematics) The mathematical study of probability (the likelihood of occurrence of random events in order to predict the behavior of defined systems).
probability mass functionnoun(mathematics) A function that gives the relative probability that a discrete random variable is exactly equal to some value.
statistical modelA statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from a larger population).
estimating equationsIn statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated.
likelihoodnounThe probability of a specified outcome; the chance of something happening; probability; the state or degree of being probable.
joint probabilitynounThe probability that two events will occur simultaneously.
distributionnounAn act of distributing or state of being distributed.
logistic regressionIn statistics, the logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables.
conditional probabilitynounThe probability that an event will take place given the restrictive assumption that another event has taken place, or that a combination of other events has taken place. (Mathematically, the definition would be that the conditional probability of B given A is equal to the joint probability of A and B divided by the probability of A.)
linear regressionnoun(statistics) A linear equation for deriving a single predicted value from one or more known explanatory values.
bayes' theoremnoun(probability theory) A theorem expressed as an equation that describes the conditional probability of an event or state given prior knowledge of another event.
probabilitynounThe relative likelihood of an event happening.
parametric statisticsa branch of statistics which leverages models based on a fixed (finite) set of parameters.
f distributionnoun(statistics, probability) A probability distribution of the ratio of two variables, each with a chi-square distribution; used in analysis of variance, especially in the significance testing of a correlation coefficient (R squared).
multinomial testthe statistical test of the null hypothesis that the parameters of a multinomial distribution equal specified values; it is used for categorical data.

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