Free reference · 596 entries
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Short, plain definitions of the terms that turn up in statistics and data science — what they mean, and how they relate to each other. Nothing to sign in for.
23 of 596 entries under F
- F DistributionThe F distribution is a family of distributions differentiated by two parameters: m1 (degrees of freedom, numerator) and m2 (degrees of freedom, denominator).
- F Distribution (Graphical)The F distribution is a family of distributions differentiated by two parameters: m1 (degrees of freedom, numerator) and m2 (degrees of freedom, denominator).
- Face ValidityThe face validity of survey instruments and tests used in psychometrics, is assessed by cursory review of the items (questions) by untrained individuals.
- FactorIn design of experiments, factor is an independent variable manipulated by the experimenter.
- Factor AnalysisExploratory research on a topic may identify many variables of possible interest, so many that their sheer number can become a hindrance to effective and efficient analysis.
- Fair GameA game of chance is said to be fair if each player’s expected payoff is zero. A game in which I roll a die and receive 12 for a 1 or 2 and lose 6 otherwise (3-6) is a fair game.
- Family-wise Type I ErrorIn multiple comparison procedures, family-wise type I error is the probability that, even if all samples come from the same population, you will wrongly conclude that at least one pair of populations differ.
- Family-wise Type I Error (Graphical)In multiple comparison procedures, family-wise type I error is the probability that, even if all samples come from the same population, you will wrongly conclude that at least one pair of populations differ.
- Farthest Neighbor ClusteringThe farthest neighbor clustering is a synonym for complete linkage clustering.
- FeatureThis term is used synonymously with attribute and variable, it is actually an independent variable (see dependent and independent variables).
- Feature engineeringIn predictive modeling, a key step is to turn available data (which may come from varied sources and be messy) into an orderly matrix of rows (records to be predicted) and columns (predictor variables or…
- Feature SelectionIn predictive modeling, feature selection, also called variable selection, is the process (usually automated) of sorting through variables to retain variables that are likely to be informative in…
- Features vs. VariablesThe predictors in a predictive model are sometimes given different terms by different disciplines.
- FilterA filter is an algorithm for processing a time series or random process. There are two major classes of problems solved by filters: 1.
- Finite Sample SpaceIf a sample space contains a finite number of elements, then the sample space is said to be a finite sample space.
- Fisher’s Exact TestFisher’s exact test is the first (historically) permutation test. It is used with two samples of binary data, and tests the null hypothesis that the two samples are drawn from populations with equal but…
- Fixed Effects (Graphical)The term “fixed effects” (as contrasted with “random effects”) is related to how particular coefficients in a model are treated – as fixed or random values.
- Fleming ProcedureFleming procedure (or O’Brien-Fleming multiple testing procedure) is a simple multiple testing procedure for comparing two treatments when the response to treatment is dichotomous.
- Forward SelectionForward selection is one of several computer-based iterative variable-selection procedures.
- Fourier SpectrumAny continuous function defined on a finite interval of length can be represented as a weighted sum of cosine functions with periods : where is the frequency of the i-th Fourier component; is the amplitude…
- Frequency DistributionA frequency distribution is a tabular summary of a set of data showing the frequency (or number) of items in each of several non-overlapping classes (or bins).
- Frequency Interpretation of ProbabilityThe frequency interpretation of probability is the most widely held of several ways of interpreting the meaning of the concept of “probability”.
- Functional Data Analysis (FDA)In functional data analysis (FDA), data are considered as continuous functions (or curves).
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