A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

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statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain …
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more than one response or dependent variable of interest. This can be contrasted with "multiple" or "multivariable" analysis, which typically implies more than one predictor or…
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Mathematical re-expression, often nonlinear, of data values. Data are often transformed either to meet the assumptions of a statistical model or to make the results of an analysis more interpretable.
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a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or mo…
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In frequentist hypothesis testing, the $p$-value is the probability of a result as extreme (or more) than the observed result, under the assumption that the null hypothesis is true.
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Data mining uses methods from artificial intelligence in a database context to discover previously unknown patterns. As such, the methods are usually unsupervised. It is closely related but not identi…
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concerned with modelling the time before subjects change state, typically time until death or failure. One key feature of such data is that they can be censored, that is, some sub…
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a field of statistics dealing with applications to economics.
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a high-level language and interactive programming environment developed by MathWorks. It is the foundation for a number of other tools related to statistical analysis, including Statistics T…
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A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.
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Procedures that rely on relatively few assumptions about underlying probability distributions.
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Refers to any model where a random variable is related to one or more random variables by a function that is linear in a finite number of parameters.
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Methods and principles of selecting a subset of attributes for use in further modelling
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off-topic on this site.** Use this tag for questions concerning creating, processing, or maintaining datasets.
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our generic tag for questions seeking information about books, papers, presentations, videos of lectures, on-line tutorials, etc., regarding any subject matter that is on-topic for Cro…
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The binomial distribution gives the frequencies of "successes" in a fixed number of independent "trials". Use this tag for questions about data that might be binomially distributed or for questions a…
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the square root of the variance of a random variable, an estimator thereof, or a similar measure of the spread of a batch of data.
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Refers to a general estimation technique that selects the parameter value to minimize the squared difference between two quantities, such as the observed value of a variable, and the expected value of…
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The expected value of a random variable; or a location measure for a sample.
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Refers generally to making substantive conclusions from the results of a statistical analysis.
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a machine-learning method based on combining the outputs of many decision trees.
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a general purpose programming language designed for ease of use. It is a commonly used platform for machine learning. Use this tag for any *on-topic* question that (a) involves `Python` eith…
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a proprietary cross-platform general-purpose statistical software package.
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a problem of judging which model from some set performs best. Popular methods include $R^2$, AIC and BIC criteria, test sets, and cross-validation. To some extent, feature selection…
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A discrete distribution defined on the non-negative integers that has the property that the mean is equal to the variance.
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Refers to the AutoRegressive Integrated Moving Average model used in time series modeling both for data description and for forecasting. This model generalizes the ARMA model by including a term for d…
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very ambiguous. Use it when the question is about sample size & the following are NOT more appropriate: [small-sample], [large-data], [power-analysis], [power], or [underdetermined].
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In statistics this refers to selecting an estimator of a parameter by maximizing or minimizing some function of the data. One very common example is choosing an estimator which maximizes the joint den…
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a resampling method to estimate the sampling distribution of a statistic.
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The probability that an event A will occur, when another event B is known to occur or to have occurred. It is commonly denoted by P(A|B).
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concerned about achieving intended power and size when more than one hypothesis test is performed.
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Panel data refers to multi-dimensional data frequently involving measurements over time in econometrics. It is also called longitudinal data in biostatistics.
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concerned with assessing the probability of unknown values from known values and inferred relationships.
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Experimental design, or design of experiments (DOE), is the design of any information-gathering exercises where variation is present. In statistics, controlled experiments are usually implied, which i…
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a value that is subject to chance variation (i.e., randomness in a mathematical sense).
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a quantity used to measure the strength and direction of the linear relationship between two variables. The covariance is unscaled, & thus often difficult to interpret; when scaled by th…