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major axis - translation to russian
STATISTICAL ANALYSIS
Total Least Squares; Reduced major axis regression; Major axis regression; Standardised major axis regression; Least products regression; Least areas regression
major axis
TERM IN GEOMETRY; LONGEST AND SHORTEST SEMIDIAMETERS OF AN ELLIPSE
Major axis; Semiminor axis; Semimajor Axis; Semi-minor axis; Minor axis; Semi-major axes; Semi-axis; Conjugate axis; Orbital distance; Semi-conjugate axis; Semi-transverse axis; Semimajor axis; Average distance; Semi minor axis; Semi-major axis; Semi-minor and semi-major axes; Semiaxis; Semimajor axes
математика
ось большая
главная ось
major axis
TERM IN GEOMETRY; LONGEST AND SHORTEST SEMIDIAMETERS OF AN ELLIPSE
Major axis; Semiminor axis; Semimajor Axis; Semi-minor axis; Minor axis; Semi-major axes; Semi-axis; Conjugate axis; Orbital distance; Semi-conjugate axis; Semi-transverse axis; Semimajor axis; Average distance; Semi minor axis; Semi-major axis; Semi-minor and semi-major axes; Semiaxis; Semimajor axes
главная ось
semi-major axis
TERM IN GEOMETRY; LONGEST AND SHORTEST SEMIDIAMETERS OF AN ELLIPSE
Major axis; Semiminor axis; Semimajor Axis; Semi-minor axis; Minor axis; Semi-major axes; Semi-axis; Conjugate axis; Orbital distance; Semi-conjugate axis; Semi-transverse axis; Semimajor axis; Average distance; Semi minor axis; Semi-major axis; Semi-minor and semi-major axes; Semiaxis; Semimajor axes
общая лексика
большая полуось
Definition
АКСИС
а, м., одуш.
Млекопитающее сем. оленей, обитающее в лесах Индии и на острове Шри-Ланка.
Wikipedia
Total least squares
In applied statistics, total least squares is a type of errors-in-variables regression, a least squares data modeling technique in which observational errors on both dependent and independent variables are taken into account. It is a generalization of Deming regression and also of orthogonal regression, and can be applied to both linear and non-linear models.
The total least squares approximation of the data is generically equivalent to the best, in the Frobenius norm, low-rank approximation of the data matrix.
