LEADER 00893nam0-22003011i-450- 001 990001858360403321 005 20021010 035 $a000185836 035 $aFED01000185836 035 $a(Aleph)000185836FED01 035 $a000185836 100 $a20021010d--------km-y0itay50------ba 101 0 $aita 200 1 $a<>industria del mugnaio nella provincia di Trapani$fSalvatore Accardi. 210 $aTrapani$c...$d1905. 215 $a50 p.$d25 cm 300 $aEstr. da: Bolletino della Cattedra Ambulante di Agricoltura di Trapani 610 0 $aIndustrie molitorie 676 $a664.72 700 1$aAccardi,$bSalvatore$068706 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001858360403321 952 $a60 MISC. B 107/8$b$fFAGBC 959 $aFAGBC 996 $aIndustria del mugnaio nella provincia di Trapani$9414156 997 $aUNINA DB $aING01 LEADER 03344nam 22006735 450 001 9910300113103321 005 20260630164138.0 010 $a3-319-76297-4 024 7 $a10.1007/978-3-319-76297-5 035 $a(CKB)4100000004243705 035 $a(DE-He213)978-3-319-76297-5 035 $a(MiAaPQ)EBC5379770 035 $a(PPN)227406176 035 $a(EXLCZ)994100000004243705 100 $a20180502d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Uncertainty Analysis of Model Results $eA Practical Guide /$fby Eduard Hofer 205 $a1?. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XV, 346 p. 129 illus., 107 illus. in color.) 311 08$a3-319-76296-6 320 $aIncludes bibliographical references. 327 $aPreface -- Introduction and necessary distinctions -- Step 1: Search -- Step 2: Quantify -- Step 3: Propagate -- Step 4: Estimate uncertainty -- Step 5: Rank uncertainties -- Step 6: Present the analysis and interpret its results -- Practical execution of the analysis -- Uncertainty analysis when separation of uncertainties is required -- Practical examples -- References -- Subject index. 330 $aThis book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results. 606 $aStatistics 606 $aComputer simulation 606 $aMathematical models 606 $aEconometrics 606 $aEnvironmental sciences$xMathematics 606 $aSecurity systems 606 $aStatistical Theory and Methods 606 $aComputer Modelling 606 $aMathematical Modeling and Industrial Mathematics 606 $aQuantitative Economics 606 $aMathematical Applications in Environmental Science 606 $aSecurity Science and Technology 615 0$aStatistics. 615 0$aComputer simulation. 615 0$aMathematical models. 615 0$aEconometrics. 615 0$aEnvironmental sciences$xMathematics. 615 0$aSecurity systems. 615 14$aStatistical Theory and Methods. 615 24$aComputer Modelling. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aQuantitative Economics. 615 24$aMathematical Applications in Environmental Science. 615 24$aSecurity Science and Technology. 676 $a519.5 700 $aHofer$4aut$4http://id.loc.gov/vocabulary/relators/aut$02012805 701 $a Eduard.$0841533 906 $aBOOK 912 $a9910300113103321 996 $aThe Uncertainty Analysis of Model Results$94807180 997 $aUNINA