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:
× 11505
for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer (b) is not *just* about how to use `R`.
× 8975
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
× 4398
Methods and principles of building "computer systems that automatically improve with experience."
× 4381
data observed over time (either in continuous time or at discrete time periods).
× 3335
A probability provides a quantitative description of the likely occurrence of a particular event.
× 3150
Hypothesis testing assesses whether data support a given hypothesis rather than being an effect of random fluctuations or some other process described by an alternative hypothesis.
× 3047
A routine question from a textbook, course, or test used for a class or self-study. This community's policy is to "provide helpful hints" for self-study questions.
× 2770
a mathematical description of probabilities or frequencies.
× 2724
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
× 2440
A measure of the degree of linear association among a pair of variables.
× 2205
the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of dat…
× 2176
Statistical significance refers to the probability that, if, in the population from which this sample were drawn the true effect were 0 (or some hypothesized value) a test statistic as extreme or more…
× 2097
a method of statistical inference that relies on turning the model parameters into random variables and applying Bayes' theorem to deduce probability statements about the paramet…
× 2065
ANOVA stands for ANalysis Of VAriance, a statistical model and set of procedures for comparing multiple group means. The independent variables in an ANOVA model are categorical, but an ANOVA table can…
× 1819
The normal, or Gaussian, distribution has a density function that is a symmetrical bell-shaped curve. It is often used as a reference against which other distributions are compared.
× 1653
Partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. Clustered-standard-errors and/or cluster-samples should be t…
× 1631
Regression that includes two or more non-constant independent variables.
× 1548
Mathematical theory of statistics, concerned with formal definitions and general results.
× 1533
Linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data; such data do not have independent errors and mixed models can account for the aris…
× 1459
An interval of random variables, depending on observed data, which, with a fixed probability, contain an unknown parameter of interest.
× 1395
Categorical data can take on a limited (usually fixed) number of possible values called categories. Categorical values "label", they do not "measure". Nominal and dichotomous/binary scale types are ca…
× 1365
Constructing 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 not on topic here.)
× 1301
Any statistical process which seeks to approximate an unknown value, such as a distribution, a point estimate (e.g. mean), or confidence interval.
× 1288
A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "genera…
× 1248
The expected squared deviation of a random variable from its mean; or, the average squared deviation of data about their mean.
× 1181
SPSS (Statistical Package for the Social Sciences) is a proprietary cross-platform general-purpose statistical software package.
× 1144
composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows informati…
× 1138
a technique to decompose an array of numerical data into a set of orthogonal vectors (uncorrelated linear combinations of the variables) called principal components. Th…
× 1127
Creating samples from a well-specified population using a probabilistic method and/or producing random numbers from a specified distribution.
× 1120
Repeated measures data occurs when more than one measurement is collected on the same unit (e.g. subject). This data cannot be analysed through normal methods because the rows in the data are not inde…
× 1120
A test for comparing the means of two samples, or the mean of one sample (or even parameter estimates) with a specified value; also known as the "Student t-test" after the pseudonym of its inventor.
× 1073
Support Vector Machine refers to "a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis."
× 1062
Forecasting involves estimating the value or distribution of a random variable which has not yet been observed.
× 1007
A test (typically of distribution, independence, or goodness of fit) or a family of distributions related to such a test.
× 992
Refers to general procedures that attempt to determine the generalizability of a statistical result. Cross-validation arises frequently in the context of assessing how a particular model fit predicts …
× 972
a method of estimating parameters of a statistical model by choosing the parameter value that optimizes the probability of observing the given sample.