MARC record from Internet Archive

LEADER: 02154nam 2200325 a 45 0
001 a187345
008 970708s1988 cau b f000|0 eng d
040 $aCMontNP$cCMontNP
086 0 $aD 208.14/2:NPS-55-88-008
100 1 $aGaver, Donald Paul.
245 10 $aSystem availability :$btime dependence and statistical inference by (semi)non-parametric methods /$cDonald P. Gaver, Patricia A. Jacobs.
260 $aMonterey, Calif. :$bNaval Postgraduate School ;$aSpringfield, Va. :$bAvailable from National Technical Information Service,$c[1988]
300 $a40 p. ;$c28 cm.
500 $aCover title.
500 $a"NPS-55-88-008."
500 $a"August 1988."
500 $aAD A200 579.
504 $aIncludes bibliographical references (p. 37-39).
520 $aThis paper addresses the assessment of simple system availability when there is concern about (a) time-dependence, so demands for system performance are not necessarily when the system is in steady-state,' as is often assumed, and when (b) information about system failures and repairs is in the form of observed data so questions of statistical influence arise. The methods and models involved lean towards the semi-parametric or non-parametric; in particular we employ the empirical Laplace transform in the time-dependent scenarios of interest. The authors propose analytically simple approximations to time-dependent system behavior, and assess the effects of model specification (up and down time dependence) upon rates of approach to a long-run steady state as the latter are estimated from available data (assumed to be a random sample). (KR)
592 $aaq/aq cc:9116 07/08/97
650 4 $aAVAILABILITY.
650 4 $aLAPLACE TRANSFORMATION.
650 4 $aNONPARAMETRIC STATISTICS.
650 4 $aSTATISTICAL INFERENCE.
650 4 $aTIME DEPENDENCE.
700 1 $aJacobs, Patricia A.
710 2 $aNaval Postgraduate School (U.S.).$bDept. of Operations Research.
740 01 $aNPS-55-88-008.
926 $aNPS-LIB$bDIGIPROJ$cD 208.14/2:NPS-55-88-008$dBOOK$eNEVER$f1
926 $aNPS-LIB$bFEDDOCS$cD 208.14/2:NPS-55-88-008$dBOOK$f2