inestimable

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in·es·ti·ma·ble

 (ĭn-ĕs′tə-mə-bəl)
adj.
1. Impossible to estimate or compute: inestimable damage. See Synonyms at incalculable.
2. Of immeasurable value or worth; invaluable: "shared all the inestimable advantages of being wealthy, good-looking, confident and intelligent" (Doris Kearns Goodwin).

in·es′ti·ma·bly adv.

inestimable

(ɪnˈɛstɪməbəl)
adj
1. not able to be estimated; immeasurable
2. of immeasurable value
inˌestimaˈbility, inˈestimableness n
inˈestimably adv

in•es•ti•ma•ble

(ɪnˈɛs tə mə bəl)

adj.
1. incapable of being estimated or assessed; incalculable: to do inestimable harm.
2. too precious to be estimated or appreciated; invaluable; priceless: an inestimable champion of freedom.
[1350–1400; Middle English < Latin]
in•es`ti•ma•bil′i•ty, in•es′ti•ma•ble•ness, n.
in•es′ti•ma•bly, adv.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Adj.1.inestimable - beyond calculation or measure; "of incalculable value"; "an incomputable amount"; "jewels of inestimable value"; "immeasurable wealth"
incalculable - not capable of being computed or enumerated

inestimable

adjective incalculable, invaluable, priceless, precious, prodigious, immeasurable, beyond price Human life is of inestimable value.

inestimable

adjective
1. Of great value:
Idioms: beyond price, of great price.
Translations

inestimable

[ɪnˈestɪməbl] ADJ [value, benefit] → inapreciable, inestimable; [harm] → incalculable

inestimable

[ɪnˈɛstɪməbəl] adj [value] → inestimable, incalculable

inestimable

adjunschätzbar

inestimable

[ɪnˈɛstɪməbl] adjinestimabile, incalcolabile
References in periodicals archive ?
The regression dropped all the 2007 observations automatically due to inestimability. TABLE 6 Bootstrap Logistic Regression Results for All Models Bootstrap Regression Model 1: With Year Dummies B SD Sig.
Simple rules of action have lower information and transaction costs, especially in domains where uncertainty or inestimability of benefit-cost are so great as frequently to cause major estimation errors.
Moreover, note that such inestimability arising by allowing as many models as there are participants is a problem that could arise in most other approaches that involve many covariates.