lumber shrinkage - traduction vers russe
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lumber shrinkage - traduction vers russe

PHENOMENON IN STATISTICS
Shrinkage estimator; Shrinkage factor; Shrinkage factors; Shrinkage coefficient; Shrinkage coefficients

lumber shrinkage      

строительное дело

усушка (усыхание) древесины

lumber shrinkage      
усушка (усыхание) древесины
timber tree         
  • abbr=on}} board
  • The harbor of Bellingham, Washington, filled with logs, 1972
  • floating logs]] in [[Kotka]], [[Finland]]
  • The longest plank in the world (2002) is in Poland and measures 36.83 metres (about 120 ft 10 in) long.
  • Special fasteners are used with treated lumber because of the corrosive chemicals used in its preservation process.
WOOD THAT HAS BEEN PROCESSED INTO BEAMS AND PLANKS
Dimensional lumber; Dimensional wood; Dimension wood; Dimension lumber; Timbered; Felled tree; Timber tree; Timber; Dimensioned lumber; Dimensioned timber; Rough lumber; Dimensional timber; Timbers; Dimber; 2x4 wood; 2x4 board; Lumber grade; 2×4 wood; 2×4 board; Structural wood

общая лексика

строевое дерево

Définition

lumber
I
n. (esp. AE) green; seasoned lumber (CE has timber)
II
v. (P; intr.) the bear lumbered through the forest
III
v. (colloq.) (BE) (D; tr.) ('to burden') to lumber with (I've been lumbered with all their problems)

Wikipédia

Shrinkage (statistics)

In statistics, shrinkage is the reduction in the effects of sampling variation. In regression analysis, a fitted relationship appears to perform less well on a new data set than on the data set used for fitting. In particular the value of the coefficient of determination 'shrinks'. This idea is complementary to overfitting and, separately, to the standard adjustment made in the coefficient of determination to compensate for the subjunctive effects of further sampling, like controlling for the potential of new explanatory terms improving the model by chance: that is, the adjustment formula itself provides "shrinkage." But the adjustment formula yields an artificial shrinkage.

A shrinkage estimator is an estimator that, either explicitly or implicitly, incorporates the effects of shrinkage. In loose terms this means that a naive or raw estimate is improved by combining it with other information. The term relates to the notion that the improved estimate is made closer to the value supplied by the 'other information' than the raw estimate. In this sense, shrinkage is used to regularize ill-posed inference problems.

Shrinkage is implicit in Bayesian inference and penalized likelihood inference, and explicit in James–Stein-type inference. In contrast, simple types of maximum-likelihood and least-squares estimation procedures do not include shrinkage effects, although they can be used within shrinkage estimation schemes.

Traduction de &#39lumber shrinkage&#39 en Russe