英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：

regression    音标拼音: [rəgr'ɛʃən]
n. 回归
n. 复原,逆行,退步

回归复原,逆行,退步

regression
回归

regression
n 1: an abnormal state in which development has stopped
prematurely [synonym: {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) [synonym: {regression}, {simple
regression}, {regression toward the mean}, {statistical
regression}]
4: returning to a former state [synonym: {regression}, {regress},
{reversion}, {retrogression}, {retroversion}]

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]

135 Moby Thesaurus words for "regression":
Brownian movement, Freudian fixation, about-face, advance,
angular motion, arrested development, ascending, ascent, atavism,
axial motion, backflowing, backing, backset, backsliding,
backward deviation, backward motion, career, climbing, comedown,
course, current, debasement, decadence, decadency, declension,
declination, decline, deformation, degeneracy, degenerateness,
degeneration, degradation, demotion, depravation, depravedness,
depreciation, derogation, descending, descent, deterioration,
devolution, disenchantment, downtrend, downturn, downward mobility,
downward motion, downward trend, drift, driftage, drop, dying, ebb,
ebbing, effeteness, fading, failing, failure, failure of nerve,
fall, falling back, falling-off, father fixation, fixation, flight,
flip-flop, flow, flux, forward motion, infantile fixation,
involution, lapse, libido fixation, loss of tone, mother fixation,
mounting, oblique motion, ongoing, onrush, parent fixation,
passage, plunging, pregenital fixation, progress, radial motion,
random motion, recidivation, recidivism, reclamation, reconversion,
recrudescence, recurrence, reflowing, refluence, reflux, regress,
rehabilitation, reinstatement, relapse, renewal, restitution,
restoration, retreat to immaturity, retrocession, retrogradation,
retrogression, retroversion, return, returning, reversal, reverse,
reversion, reverting, revulsion, rising, run, rush, set, setback,
sideward motion, sinking, slippage, slipping back, slump, soaring,
sternway, stream, subsiding, throwback, traject, trajet, trend,
turn, turnabout, upward motion, wane


请选择你想看的字典辞典：
单词字典翻译
Regression查看　Regression　在百度字典中的解释百度英翻中〔查看〕
Regression查看　Regression　在Google字典中的解释Google英翻中〔查看〕
Regression查看　Regression　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • Why are regression problems called regression problems?
    Origin of 'regression' The term "regression" was coined by Francis Galton in the 19th century to describe a biological phenomenon The phenomenon was that the heights of descendants of tall ancestors tend to regress down towards a normal average (a phenomenon also known as regression toward the mean)(Galton, reprinted 1989)
  • regression - What does it mean to regress a variable against another . . .
    As an example, the data is X = 1, ,100 The value of Y is plotted on the Y axis The red line is the linear regression surface Personally, I don't find the independent dependent variable language to be that helpful Those words connote causality, but regression can work the other way round too (use Y to predict X)
  • regression - Trying to understand the fitted vs residual plot? - Cross . . .
    In this example, variances for the first quarter of the data, up to about a fitted value of 40 are smaller than variances for fitted values larger than 40 The middle portion of the fitted values has substantially larger variances than the outer values This indicates that the regression model may have failed to account for heteroscedasticity
  • regression - What is the correct formula to compute R-squared? - Cross . . .
    I'm completely confused about how to calculate R-squared for given lists of predicted and actual values As an example, assume that my predicted values are: [3, 8, 10, 17, 24, 27] and my actual va
  • regression - Is it optimal to run 18 LMMs with Bonferroni correction . . .
    One example, and probably the most straightforward, is to construct a system of simultaneously estimated regression paths using maximum likelihood, in what we would normally call path analysis The actual estimation on the user's end is rather simple: simply estimate the regression paths you want But you can add as many relationships as you
  • regression - How to Perform Cross-Validation for LASSO in GAMLSS to . . .
    I am working with a Generalized Additive Model for Location, Scale, and Shape (GAMLSS) and trying to determine the optimal $\lambda$ values for LASSO-penalized regression using cross-validation However, I am struggling to understand how to properly set up the cross-validation procedure in this context
  • regression - Why do we say the outcome variable is regressed on the . . .
    The word "regressed" is used instead of "dependent" because we want to emphasise that we are using a regression technique to represent this dependency between x and y So, this sentence "y is regressed on x" is the short format of: Every predicted y shall "be dependent on" a value of x through a regression technique
  • regression - Understanding Propensity Score Matching - Cross Validated
    1) Run a Logistic Regression model to estimate the probability of a patient receiving the treatment vs not receiving the treatment 2) Based on these Propensity Score Estimates, create pairs of patients from the treatment non-treatment groups using some predefined method (e g KNN)
  • regression - What is the difference between “factors” and “covariate . . .
    Both of these predict the dependent variable and both have a similar relationship to the dependent variable Variance from both types of variables are accounted for in a linear model (e g , regression, ANCOVA) So, a covariate is not just a third variable not directly related to the dependent variable It is merely a dimensional variable





中文字典-英文字典  2005-2009