Matches in SemOpenAlex for { <https://semopenalex.org/work/W2910840897> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2910840897 endingPage "114" @default.
- W2910840897 startingPage "67" @default.
- W2910840897 abstract "This chapter and Chap. 4 discuss techniques for predicting output for a computer simulator based on “training” runs from the model. Knowing how to predict computer output is a prerequisite for answering most practical research questions that involve computer simulators including those listed in Sect. 1.3 . As an example where the prediction methods described below will be central, Chap. 6 will present a sequential design for a computer experiment to find input conditions $$boldsymbol{x}$$ that maximize a computer output which requires prediction of $$y(boldsymbol{x})$$ at all untried sites." @default.
- W2910840897 created "2019-01-25" @default.
- W2910840897 creator A5013085333 @default.
- W2910840897 creator A5016899664 @default.
- W2910840897 creator A5017155088 @default.
- W2910840897 date "2018-01-01" @default.
- W2910840897 modified "2023-10-16" @default.
- W2910840897 title "Empirical Best Linear Unbiased Prediction of Computer Simulator Output" @default.
- W2910840897 cites W1480376833 @default.
- W2910840897 cites W1480849550 @default.
- W2910840897 cites W1510052597 @default.
- W2910840897 cites W1867289061 @default.
- W2910840897 cites W1970633379 @default.
- W2910840897 cites W1973584191 @default.
- W2910840897 cites W1977046327 @default.
- W2910840897 cites W1982126198 @default.
- W2910840897 cites W1982585616 @default.
- W2910840897 cites W1990381576 @default.
- W2910840897 cites W1991413021 @default.
- W2910840897 cites W1991788899 @default.
- W2910840897 cites W1992401172 @default.
- W2910840897 cites W1993167665 @default.
- W2910840897 cites W2000084758 @default.
- W2910840897 cites W2019970588 @default.
- W2910840897 cites W2027973545 @default.
- W2910840897 cites W2029457550 @default.
- W2910840897 cites W2033197108 @default.
- W2910840897 cites W2034831667 @default.
- W2910840897 cites W2050297026 @default.
- W2910840897 cites W2058827835 @default.
- W2910840897 cites W2061883449 @default.
- W2910840897 cites W2069626069 @default.
- W2910840897 cites W2078454401 @default.
- W2910840897 cites W2086871497 @default.
- W2910840897 cites W2090766112 @default.
- W2910840897 cites W2092047866 @default.
- W2910840897 cites W2092271904 @default.
- W2910840897 cites W2092612581 @default.
- W2910840897 cites W2094009285 @default.
- W2910840897 cites W2095104918 @default.
- W2910840897 cites W2095552896 @default.
- W2910840897 cites W2098043077 @default.
- W2910840897 cites W2098720801 @default.
- W2910840897 cites W2106798531 @default.
- W2910840897 cites W2115620436 @default.
- W2910840897 cites W2121437933 @default.
- W2910840897 cites W2129660762 @default.
- W2910840897 cites W2139014051 @default.
- W2910840897 cites W2151479892 @default.
- W2910840897 cites W2151546488 @default.
- W2910840897 cites W2156614992 @default.
- W2910840897 cites W2171074980 @default.
- W2910840897 cites W2334096600 @default.
- W2910840897 cites W2416738184 @default.
- W2910840897 cites W2650867022 @default.
- W2910840897 cites W3144523625 @default.
- W2910840897 cites W4251512373 @default.
- W2910840897 cites W4300029251 @default.
- W2910840897 cites W82278419 @default.
- W2910840897 doi "https://doi.org/10.1007/978-1-4939-8847-1_3" @default.
- W2910840897 hasPublicationYear "2018" @default.
- W2910840897 type Work @default.
- W2910840897 sameAs 2910840897 @default.
- W2910840897 citedByCount "2" @default.
- W2910840897 countsByYear W29108408972021 @default.
- W2910840897 countsByYear W29108408972022 @default.
- W2910840897 crossrefType "book-chapter" @default.
- W2910840897 hasAuthorship W2910840897A5013085333 @default.
- W2910840897 hasAuthorship W2910840897A5016899664 @default.
- W2910840897 hasAuthorship W2910840897A5017155088 @default.
- W2910840897 hasConcept C41008148 @default.
- W2910840897 hasConcept C44154836 @default.
- W2910840897 hasConcept C87466663 @default.
- W2910840897 hasConceptScore W2910840897C41008148 @default.
- W2910840897 hasConceptScore W2910840897C44154836 @default.
- W2910840897 hasConceptScore W2910840897C87466663 @default.
- W2910840897 hasLocation W29108408971 @default.
- W2910840897 hasOpenAccess W2910840897 @default.
- W2910840897 hasPrimaryLocation W29108408971 @default.
- W2910840897 hasRelatedWork W2130043461 @default.
- W2910840897 hasRelatedWork W2350741829 @default.
- W2910840897 hasRelatedWork W2358668433 @default.
- W2910840897 hasRelatedWork W2361742417 @default.
- W2910840897 hasRelatedWork W2376932109 @default.
- W2910840897 hasRelatedWork W2382290278 @default.
- W2910840897 hasRelatedWork W2390279801 @default.
- W2910840897 hasRelatedWork W2748952813 @default.
- W2910840897 hasRelatedWork W2899084033 @default.
- W2910840897 hasRelatedWork W2530322880 @default.
- W2910840897 isParatext "false" @default.
- W2910840897 isRetracted "false" @default.
- W2910840897 magId "2910840897" @default.
- W2910840897 workType "book-chapter" @default.