# Likelihood

• 161Принцип максимального правдоподобия — является спорным принципом статистического вывода, который предполагает, что вся информация о статистической выборке содержится в функции правдоподобия. Функция правдоподобия основывается на условной вероятности взятием ее как функции от второго&#8230; …

Википедия

• 162Критерий отношения правдоподобия — Принцип максимального правдоподобия является спорным принципом статистического вывода, который предполагает, что вся информация о статистической выборке содержится в функции правдоподобия. Функция правдоподобия основывается на условной&#8230; …

Википедия

• 163Quantitative comparative linguistics — is a branch of comparative linguistics that applies mathematical models to the problem of classifying language relatedness. This includes the use of computational phylogenetics and cladistics to define an optimal tree (or network) to represent a&#8230; …

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• 164Logarithm — The graph of the logarithm to base 2 crosses the x axis (horizontal axis) at 1 and passes through the points with coordinates (2, 1), (4, 2), and (8, 3) …

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• 165Linear model — In statistics the linear model is given by:Y = X eta + varepsilonwhere Y is an n times;1 column vector of random variables, X is an n times; p matrix of known (i.e. observable and non random) quantities, whose rows correspond to statistical&#8230; …

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• 166Naive Bayes classifier — A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be independent feature model . In&#8230; …

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• 167Ronald Fisher — R. A. Fisher Born 17 February 1890(1890 02 17) East Finchley, London …

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• 168Principle of maximum entropy — This article is about the probability theoretic principle. For the classifier in machine learning, see maximum entropy classifier. For other uses, see maximum entropy (disambiguation). Bayesian statistics Theory Bayesian probability Probability&#8230; …

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• 169Bayesian information criterion — In statistics, in order to describe a particular dataset, one can use non parametric methods or parametric methods. In parametric methods, there might be various candidate models with different number of parameters to represent a dataset. The&#8230; …

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• 170Bootstrapping (statistics) — In statistics, bootstrapping is a modern, computer intensive, general purpose approach to statistical inference, falling within a broader class of resampling methods.Bootstrapping is the practice of estimating properties of an estimator (such as&#8230; …

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• 171Health and Disease — ▪ 2009 Introduction Food and Drug Safety.       In 2008 the contamination of infant formula and related dairy products with melamine in China led to widespread health problems in children, including urinary problems and possible renal tube&#8230; …

Universalium

• 172Markov switching multifractal — In financial econometrics, the Markov switching multifractal (MSM) is a model of asset returns that incorporates stochastic volatility components of heterogeneous durations. MSM captures the outliers, log memory like volatility persistence&#8230; …

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• 173Máxima verosimilitud — En estadística, la estimación por máxima verosimilitud (conocida también como EMV y, en ocasiones, MLE por sus siglas en inglés) es un método habitual para ajustar un modelo y encontrar sus parámetros. Contenido 1 Historia 2 Fundamento 3&#8230; …

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• 174Bayesian inference — is statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. The name Bayesian comes from the frequent use of Bayes theorem in the inference process. Bayes theorem&#8230; …

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• 175Prosecutor's fallacy — The prosecutor s fallacy is a fallacy of statistical reasoning made in law where the context in which the accused has been brought to court is falsely assumed to be irrelevant to judging how confident a jury can be in evidence against them with a …

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• 176Meta-analysis — In statistics, a meta analysis combines the results of several studies that address a set of related research hypotheses. In its simplest form, this is normally by identification of a common measure of effect size, for which a weighted average&#8230; …

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• 177Scoliosis — Classification and external resources ICD 10 M41 …

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• 178Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example …

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• 179Confidence interval — This article is about the confidence interval. For Confidence distribution, see Confidence Distribution. In statistics, a confidence interval (CI) is a particular kind of interval estimate of a population parameter and is used to indicate the&#8230; …

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• 180Term life insurance — or term assurance is life insurance which provides coverage at a fixed rate of payments for a limited period of time, the relevant term. After that period expires coverage at the previous rate of premiums is no longer guaranteed and the client&#8230; …

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