MARC Record from marc_columbia

LEADER: 03339mam a22004094a 4500
001 2970232
005 20221013043453.0
008 991104s2000 nyua b 001 0 eng
010 $a 99057532
015 $aGBA0-50546
020 $a0471349410 (alk. paper)
035 $a(OCoLC)ocm42810854
035 $9ASL6463CU
035 $a(NNC)2970232
035 $a2970232
040 $aDLC$cDLC$dUKM$dOrLoB-B
042 $apcc
050 00 $aTA169$b.B38 2000
082 00 $a620/.00452$221
100 1 $aRigdon, Steven E.,$d1955-$0http://id.loc.gov/authorities/names/n99254380
245 10 $aStatistical methods for the reliability of repairable systems /$cSteven E. Rigdon, Asit P. Basu.
260 $aNew York :$bWiley,$c2000.
300 $axii, 281 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aWiley series in probability and statistics
500 $a"A Wiley-Interscience publication."
504 $aIncludes bibliographical references (p. 267-275) and index.
505 00 $g1.$tTerminology and Notation for Repairable Systems --$g2.$tProbabilistic Models: The Poisson Process --$g3.$tProbabilistic Models: Renewal and Other Processes --$g4.$tAnalyzing Data from a Single Repairable System --$g5.$tAnalyzing Data from Multiple Repairable Systems --$gA.1.$tCritical Values for the Chi-square Distribution --$gA.2.$tCritical Values for the F Distribution --$gA.3.$tConfidence Limits for the Mean of a Poisson Distribution Given an Observation of c Events --$gA.4.$tFactors for Obtaining a Confidence Interval for the Intensity at the Time of the Last Failure for a Failure Truncated Power Law Process --$gA.5.$tFactors for Obtaining a Confidence Interval for the Intensity at the Time of the Last Failure for a Time Truncated Power Law Process --$gA.6.$tCritical Values for the Cramer-von Mises Goodness-of-fit Test --$gA.7.$tCritical Values for Lilliefors' Goodness-of-fit Test.
520 1 $a"This new work offers a unique, systematic treatment of probabilistic models used for repairable systems as well as the statistical methods for analyzing data generated from them.".
520 8 $a"Liberally supplemented with examples as well as exercises boasting real data, the book clearly explains the difference between repairable and nonrepairable systems and helps readers develop an understanding of stochastic point processes. Data analysis methods are discussed for both single and multiple systems and include graphical methods, point estimation, interval estimation, hypothesis tests, goodness-of-fit tests, and reliability prediction.
520 8 $aComplete with extensive graphs, tables, and references, Statistical Methods for the Reliability of Repairable Systems is an excellent working resource for industry professionals involved in producing reliable systems and a handy reference for practitioners and researchers in the field."--BOOK JACKET.
650 0 $aReliability (Engineering)$xStatistical methods.$0http://id.loc.gov/authorities/subjects/sh85112512
650 0 $aMaintainability (Engineering)$xStatistical methods.
700 1 $aBasu, Asit P.$0http://id.loc.gov/authorities/names/n85197398
830 0 $aWiley series in probability and statistics.$0http://id.loc.gov/authorities/names/n98048834
852 00 $boff,eng$hTA169$i.B38 2000