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t. e. In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables ...
DFFITS. In statistics, DFFIT and DFFITS ("difference in fit (s)") are diagnostics meant to show how influential a point is in a linear regression, first proposed in 1980. [ 1] DFFIT is the change in the predicted value for a point, obtained when that point is left out of the regression: where and are the prediction for point i with and without ...
Horizontal dilution of precision VDOP Vertical dilution of precision PDOP Position (3D) dilution of precision TDOP Time dilution of precision GDOP Geometric dilution of precision. These values follow mathematically from the positions of the usable satellites. Signal receivers allow the display of these positions (skyplot) as well as the DOP values.
An inclinometer or clinometer is an instrument used for measuring angles of slope, elevation, or depression of an object with respect to gravity 's direction. It is also known as a tilt indicator, tilt sensor, tilt meter, slope alert, slope gauge, gradient meter, gradiometer, level gauge, level meter, declinometer, and pitch & roll indicator.
v. t. e. Game theory is the study of mathematical models of strategic interactions. [ 1] It has applications in many fields of social science, and is used extensively in economics, logic, systems science and computer science. [ 2] Initially, game theory addressed two-person zero-sum games, in which a participant's gains or losses are exactly ...
t. e. In mathematics, the Taylor series or Taylor expansion of a function is an infinite sum of terms that are expressed in terms of the function's derivatives at a single point. For most common functions, the function and the sum of its Taylor series are equal near this point.
Eigenvalues and eigenvectors. In linear algebra, an eigenvector ( / ˈaɪɡən -/ EYE-gən-) or characteristic vector is a vector that has its direction unchanged by a given linear transformation. More precisely, an eigenvector, , of a linear transformation, , is scaled by a constant factor, , when the linear transformation is applied to it: .
The binomial distribution is the PMF of k successes given n independent events each with a probability p of success. Mathematically, when α = k + 1 and β = n − k + 1, the beta distribution and the binomial distribution are related by [clarification needed] a factor of n + 1 :