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Τι (ποιος) είναι lumber shrinkage - ορισμός

PHENOMENON IN STATISTICS

Shrinkage estimator; Shrinkage factor; Shrinkage factors; Shrinkage coefficient; Shrinkage coefficients

lumber

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

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)

Lumber

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

(·b.t.) To heap together in disorder.

II. Lumber ·vi To move heavily, as if burdened.

III. Lumber (·b.t.) To fill or encumber with lumber; as, to lumber up a room.

IV. Lumber ·vi To cut logs in the forest, or prepare timber for market.

V. Lumber ·vi To make a sound as if moving heavily or clumsily; to Rumble.

VI. Lumber ·noun Old or refuse household stuff; things cumbrous, or bulky and useless, or of small value.

VII. Lumber ·noun A pawnbroker's shop, or room for storing articles put in pawn; hence, a pledge, or pawn.

VIII. Lumber ·noun Timber sawed or split into the form of beams, joists, boards, planks, staves, hoops, ·etc.; ·esp., that which is smaller than heavy timber.

Timber

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

·vi To make a nest.

II. Timber ·vi To light on a tree.

III. Timber ·noun The crest on a coat of arms.

IV. Timber ·noun Woods or forest; wooden land.

V. Timber ·vt To surmount as a timber does.

VI. Timber ·noun Fig.: Material for any structure.

VII. Timber ·noun The body, stem, or trunk of a tree.

VIII. Timber ·vt To furnish with timber;

- chiefly used in the past participle.

IX. Timber ·noun A rib, or a curving piece of wood, branching outward from the keel and bending upward in a vertical direction. One timber is composed of several pieces united.

X. Timber ·noun A certain quantity of fur skins, as of martens, ermines, sables, ·etc., packed between boards; being in some cases forty skins, in others one hundred and twenty;

- called also timmer.

XI. Timber ·noun That sort of wood which is proper for buildings or for tools, utensils, furniture, carriages, fences, ships, and the like;

- usually said of felled trees, but sometimes of those standing. ·cf. Lumber, 3.

XII. Timber ·noun A single piece or squared stick of wood intended for building, or already framed; collectively, the larger pieces or sticks of wood, forming the framework of a house, ship, or other structure, in distinction from the covering or boarding.

Βικιπαίδεια

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.

https://en.wikipedia.org/wiki/Shrinkage (statistics)