Tags
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.
Constructing and interpreting meaningful and useful graphical representations of data. (If your question is only about how to get particular software to produce a specific effect, then it is likely no…
3127 questions
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.
2990 questions
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…
2979 questions
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…
2919 questions
The expected value of a random variable; or a location measure for a sample.
2848 questions
for any use of optimization within statistics.
2826 questions
Repeated measures data occur when more than one measurement is collected on the same units (e.g. subjects). Use this tag for RM-ANOVA together with [anova] tag.
2806 questions
A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.
2780 questions
Questions seeking external references (books, papers, etc.) about a particular subject. Always use a more specific tag in addition.
2716 questions
A test (typically of distribution, independence, or goodness of fit) for analyzing contingency tables of counts.
2686 questions
Econometrics is a field of statistics dealing with applications to economics.
2639 questions
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.
2611 questions
describes the process of creating a statistical or machine learning model. Always add a more specific tag.
2603 questions
Analyses/models where there is more than one response (dependent) variable. Commonly confused with "multiple" or "multivariable" analysis, which has more than one predictor (independent) variable.
2560 questions
A random variable or stochastic variable is a value that is subject to chance variation (i.e., randomness in a mathematical sense).
2535 questions
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).
2525 questions
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.
2499 questions
Panel data refers to multi-dimensional data frequently involving measurements over time in econometrics. It is also called longitudinal data in biostatistics, psychology, and some other fields..
2490 questions
Random forest is a machine-learning method based on combining the outputs of many decision trees.
2485 questions
Refers generally to making substantive conclusions from the results of a statistical analysis.
2483 questions
Methods and principles of selecting a subset of attributes for use in further modelling
2455 questions
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…
2448 questions
The expected value of a random variable is a weighted average of all possible values a random variable can take on, with the weights equal to the probability of taking on that value.
2375 questions
Support Vector Machine refers to "a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis."
2293 questions
The parameters of a regression model. Most commonly, the values by which the independent variables will be multiplied to get the predicted value of the dependent variable.
2146 questions
to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributio…
2145 questions
Standard deviation is 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.
2051 questions
IBM SPSS Statistics is a statistical software package. Use this tag for any on-topic question that (a) involves SPSS either as a critical part of the question or expected answer and (b) is not just ab…
2040 questions
The bootstrap is a resampling method to estimate the sampling distribution of a statistic.
2032 questions
Model selection is 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…
2029 questions
The study of how to structure an information-gathering exercise where variation is present.
2024 questions
ambiguous. Use it when the question is about sample size and NONE of the following are more appropriate: [small-sample], [large-data], [statistical-power], [underdetermined], or [unbalance…
2013 questions
Events (or random variables) are independent when information on some of them tells you nothing about the probability of occurrence (/ distribution) of the others. Please DO NOT use this tag for indep…
1978 questions
A vast area which includes generating results from computer models.
1972 questions
Statistical analysis of datasets comprising several levels of hierarchy (e.g., students nested in classes nested in schools or hierarchical forecasting). For questions about mixed models use [mixed-mo…
1937 questions
A discrete distribution defined on the non-negative integers that has the property that the mean is equal to the variance.
1934 questions