podobné slovo | definícia |
curvilinear regression (encz) | curvilinear regression, n: |
hedonic regression (encz) | hedonic regression,hedonická regrese [eko.] RNDr. Pavel Piskač |
linear regression (encz) | linear regression, n: |
rectilinear regression (encz) | rectilinear regression, n: |
regression (encz) | regression,návrat n: Zdeněk Brožregression,regrese n: Zdeněk Brožregression,regrese (biologie) [eko.] RNDr. Pavel Piskač |
regression analysis (encz) | regression analysis, n: |
regression coefficient (encz) | regression coefficient, n: |
regression curve (encz) | regression curve, n: |
regression equation (encz) | regression equation, n: |
regression line (encz) | regression line, n: |
regression of y on x (encz) | regression of y on x, n: |
regression toward the mean (encz) | regression toward the mean, n: |
simple regression (encz) | simple regression, n: |
statistical regression (encz) | statistical regression, n: |
time regression (encz) | time regression, |
Edge of regression (gcide) | Regression \Re*gres"sion\ (r?*gr?sh"?n), n. [L. regressio: cf.
F. r['e]gression.]
The act of passing back or returning; retrogression;
retrogradation. --Sir T. Browne.
[1913 Webster]
Edge of regression (of a surface) (Geom.), the line along
which a surface turns back upon itself; -- called also a
cuspidal edge.
Regression point (Geom.), a cusp.
[1913 Webster] |
infinite regression (gcide) | infinite regress \infinite regress\, infinite regression
\infinite regression\n. (Philosophy, Logic)
A causal relationship transmitted through an indefinite
number of terms in a series, with no term that begins the
causal chain.
[PJC] |
Regression point (gcide) | Regression \Re*gres"sion\ (r?*gr?sh"?n), n. [L. regressio: cf.
F. r['e]gression.]
The act of passing back or returning; retrogression;
retrogradation. --Sir T. Browne.
[1913 Webster]
Edge of regression (of a surface) (Geom.), the line along
which a surface turns back upon itself; -- called also a
cuspidal edge.
Regression point (Geom.), a cusp.
[1913 Webster] |
curvilinear regression (wn) | curvilinear regression
n 1: the relation between variables when the regression equation
is nonlinear (quadratic or higher order) |
linear regression (wn) | linear regression
n 1: the relation between variables when the regression equation
is linear: e.g., y = ax + b [syn: linear regression,
rectilinear regression] |
multiple regression (wn) | multiple regression
n 1: a statistical technique that predicts values of one
variable on the basis of two or more other variables [syn:
multiple regression, multiple correlation] |
rectilinear regression (wn) | rectilinear regression
n 1: the relation between variables when the regression equation
is linear: e.g., y = ax + b [syn: linear regression,
rectilinear regression] |
regression (wn) | regression
n 1: an abnormal state in which development has stopped
prematurely [syn: arrested development, fixation,
infantile fixation, regression]
2: (psychiatry) a defense mechanism in which you flee from
reality by assuming a more infantile state
3: the relation between selected values of x and observed values
of y (from which the most probable value of y can be
predicted for any value of x) [syn: regression, {simple
regression}, regression toward the mean, {statistical
regression}]
4: returning to a former state [syn: regression, regress,
reversion, retrogression, retroversion] |
regression analysis (wn) | regression analysis
n 1: the use of regression to make quantitative predictions of
one variable from the values of another |
regression coefficient (wn) | regression coefficient
n 1: when the regression line is linear (y = ax + b) the
regression coefficient is the constant (a) that represents
the rate of change of one variable (y) as a function of
changes in the other (x); it is the slope of the regression
line |
regression curve (wn) | regression curve
n 1: a smooth curve fitted to the set of paired data in
regression analysis; for linear regression the curve is a
straight line [syn: regression line, regression curve] |
regression equation (wn) | regression equation
n 1: the equation representing the relation between selected
values of one variable (x) and observed values of the other
(y); it permits the prediction of the most probable values
of y [syn: regression equation, regression of y on x] |
regression line (wn) | regression line
n 1: a smooth curve fitted to the set of paired data in
regression analysis; for linear regression the curve is a
straight line [syn: regression line, regression curve] |
regression of y on x (wn) | regression of y on x
n 1: the equation representing the relation between selected
values of one variable (x) and observed values of the other
(y); it permits the prediction of the most probable values
of y [syn: regression equation, regression of y on x] |
regression toward the mean (wn) | regression toward the mean
n 1: the relation between selected values of x and observed
values of y (from which the most probable value of y can be
predicted for any value of x) [syn: regression, {simple
regression}, regression toward the mean, {statistical
regression}] |
simple regression (wn) | simple regression
n 1: the relation between selected values of x and observed
values of y (from which the most probable value of y can be
predicted for any value of x) [syn: regression, {simple
regression}, regression toward the mean, {statistical
regression}] |
statistical regression (wn) | statistical regression
n 1: the relation between selected values of x and observed
values of y (from which the most probable value of y can be
predicted for any value of x) [syn: regression, {simple
regression}, regression toward the mean, {statistical
regression}] |
regression (foldoc) | regression
1. A mathematical method where an {empirical
function} is derived from a set of experimental data.
2. regression testing.
(1995-03-14)
|
regression testing (foldoc) | regression testing
Part of the test phase of software development
where, as new modules are integrated into the system and the
added functionality is tested, previously tested functionality
is re-tested to assure that no new module has corrupted the
system.
[Bennatan, E.M., "Software Project Management", 2nd edition,
McGraw-Hill International, 1992].
(1995-12-04)
|