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29 relations: Annals of Statistics, Chi-squared distribution, Chi-squared test, Computational linguistics, Computational Linguistics (journal), Contingency table, Degrees of freedom (statistics), Entropy (information theory), F. James Rohlf, Fisher's exact test, IEEE Transactions on Information Theory, Karl Pearson, Kullback–Leibler divergence, Likelihood-ratio test, Maximum likelihood estimation, McDonald–Kreitman test, Multinomial test, Mutual information, Natural logarithm, Pearson's chi-squared test, Probability distribution, R (programming language), Robert R. Sokal, SAS (software), Stata, Statistical genetics, Statistical significance, Statistics, Taylor series.
Annals of Statistics
The Annals of Statistics is a peer-reviewed statistics journal published by the Institute of Mathematical Statistics.
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Chi-squared distribution
No description.
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Chi-squared test
A chi-squared test, also written as test, is any statistical hypothesis test where the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true.
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Computational linguistics
Computational linguistics is an interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective, as well as the study of appropriate computational approaches to linguistic questions.
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Computational Linguistics (journal)
Computational Linguistics is a peer-reviewed academic journal in the field of computational linguistics.
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Contingency table
In statistics, a contingency table (also known as a cross tabulation or crosstab) is a type of table in a matrix format that displays the (multivariate) frequency distribution of the variables.
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Degrees of freedom (statistics)
In statistics, the number of degrees of freedom is the number of values in the final calculation of a statistic that are free to vary.
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Entropy (information theory)
Information entropy is the average rate at which information is produced by a stochastic source of data.
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F. James Rohlf
An American biostatistician, currently a Distinguished Professor Emeritus at Stony Brook University and American Association for the Advancement of Science.
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Fisher's exact test
Fisher's exact test is a statistical significance test used in the analysis of contingency tables.
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IEEE Transactions on Information Theory
IEEE Transactions on Information Theory is a monthly peer-reviewed scientific journal published by the IEEE Information Theory Society.
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Karl Pearson
Karl Pearson HFRSE LLD (originally named Carl; 27 March 1857 – 27 April 1936) was an English mathematician and biostatistician. He has been credited with establishing the discipline of mathematical statistics. He founded the world's first university statistics department at University College London in 1911, and contributed significantly to the field of biometrics, meteorology, theories of social Darwinism and eugenics. Pearson was also a protégé and biographer of Sir Francis Galton.
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Kullback–Leibler divergence
In mathematical statistics, the Kullback–Leibler divergence (also called relative entropy) is a measure of how one probability distribution diverges from a second, expected probability distribution.
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Likelihood-ratio test
In statistics, a likelihood ratio test (LR test) is a statistical test used for comparing the goodness of fit of two statistical models — a null model against an alternative model.
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Maximum likelihood estimation
In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model, given observations.
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McDonald–Kreitman test
The McDonald–Kreitman test is a statistical test often used by evolution and population biologists to detect and measure the amount of adaptive evolution within a species by determining whether adaptive evolution has occurred, and the proportion of substitutions that resulted from positive selection (also known as directional selection).
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Multinomial test
In statistics, the multinomial test is the test of the null hypothesis that the parameters of a multinomial distribution equal specified values.
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Mutual information
In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables.
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Natural logarithm
The natural logarithm of a number is its logarithm to the base of the mathematical constant ''e'', where e is an irrational and transcendental number approximately equal to.
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Pearson's chi-squared test
Pearson's chi-squared test (χ) is a statistical test applied to sets of categorical data to evaluate how likely it is that any observed difference between the sets arose by chance.
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Probability distribution
In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.
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R (programming language)
R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.
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Robert R. Sokal
Robert Reuven Sokal (January 13, 1926 in Vienna, Austria – April 9, 2012 in Stony Brook, New York) was an Austrian-American biostatistician and entomologist.
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SAS (software)
SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
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Stata
Stata is a general-purpose statistical software package created in 1985 by StataCorp.
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Statistical genetics
Statistical genetics is a scientific field concerned with the development of statistical methods for drawing inferences from genetic data.
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Statistical significance
In statistical hypothesis testing, a result has statistical significance when it is very unlikely to have occurred given the null hypothesis.
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Statistics
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.
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Taylor series
In mathematics, a Taylor series is a representation of a function as an infinite sum of terms that are calculated from the values of the function's derivatives at a single point.
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References
[1] https://en.wikipedia.org/wiki/G-test
