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.

Type to find tags:
× 1071
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 …
× 1048
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…
× 1013
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…
× 997
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.
× 993
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.
× 969
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…
× 962
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…
× 951
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…
× 932
a field of statistics dealing with applications to economics.
× 916
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…
× 895
A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.
× 894
Methods and principles of selecting a subset of attributes for use in further modelling
× 876
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.
× 869
Procedures that rely on relatively few assumptions about underlying probability distributions.
× 856
off-topic on this site.** Use this tag for questions concerning creating, processing, or maintaining datasets.
× 853
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…
× 843
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.
× 842
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…
× 831
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…
× 830
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…
× 829
a machine-learning method based on combining the outputs of many decision trees.
× 815
a proprietary cross-platform general-purpose statistical software package.
× 814
Refers generally to making substantive conclusions from the results of a statistical analysis.
× 806
The expected value of a random variable; or a location measure for a sample.
× 797
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…
× 794
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].
× 793
A discrete distribution defined on the non-negative integers that has the property that the mean is equal to the variance.
× 784
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…
× 766
a resampling method to estimate the sampling distribution of a statistic.
× 765
Panel data refers to multi-dimensional data frequently involving measurements over time in econometrics. It is also called longitudinal data in biostatistics.
× 758
concerned with assessing the probability of unknown values from known values and inferred relationships.
× 758
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).
× 756
concerned about achieving intended power and size when more than one hypothesis test is performed.
× 704
the study of how to structure an information-gathering exercise where variation is present. In statistics, controlled experiments are usually implied, meaning that s…
× 676
a value that is subject to chance variation (i.e., randomness in a mathematical sense).
× 637
the correlation of a series of data with itself at some lag. This is an important topic particularly in the analysis of time-series data.