LEADER 01673nam  2200481I  450 
001 9910704242103321
005 20160210110027.0
035   $a(CKB)5470000002439255
035   $a(OCoLC)938021322
035   $a(EXLCZ)995470000002439255
100   $a20160210j201511    ua             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aACCEPT$eintroduction of the adverse condition and critical event prediction toolbox /$fRodney A. Martin [and three others]
210  1$aMoffett Field, CA :$cNational Aeronautics and Space Administration, Ames Research Center,$dNovember 2015.
215   $a1 online resource (51 pages) $ccolor illustrations
225 1 $aNASA/TM ;$v2015-218927
300   $aTitle from title screen (viewed Feb. 10, 2016).
300   $a"November 2015."
320   $aIncludes bibliographical references (pages 32-35).
517   $aACCEPT 
606   $aMathematical models$2nasat
606   $aRegression analysis$2nasat
606   $aApplications programs (computers)$2nasat
606   $aMachine learning$2nasat
606   $aMonte Carlo method$2nasat
615  7$aMathematical models.
615  7$aRegression analysis.
615  7$aApplications programs (computers)
615  7$aMachine learning.
615  7$aMonte Carlo method.
700   $aMartin$b Rodney A.$01398388
712 02$aAmes Research Center,
712 02$aUnited States.$bNational Aeronautics and Space Administration,
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910704242103321
996   $aACCEPT$93461536
997   $aUNINA