MARC Record from marc_columbia

LEADER: 04349mam a2200409 a 4500
001 2999311
005 20221019184933.0
008 920430t19931993nyua b 001 0 eng
010 $a 92011354
015 $aGB93-40630
020 $a0387978720 (alk. paper)
020 $a3540978720 (Berlin : alk. paper)
035 $a(OCoLC)ocm25871722
035 $9ATE2154CU
035 $a(NNC)2999311
035 $a2999311
040 $aDLC$cDLC$dUKM$dFPU$dOrLoB-B
050 00 $aQA274.42$b.S75 1993
082 00 $a519.2/3$220
245 00 $aStatistical models based on counting processes /$cPer Kragh Andersen [and others].
260 $aNew York :$bSpringer-Verlag,$c[1993], ©1993.
300 $axi, 767 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aSpringer series in statistics
504 $aIncludes bibliographical references (p. [715]-746) and indexes.
505 00 $gI.$tIntroduction.$gI.1.$tGeneral Introduction to the Book.$gI.2.$tBrief Survey of the Development of the Subject.$gI.3.$tPresentation of Practical Examples --$gII.$tThe Mathematical Background.$gII.1.$tAn Informal Introduction to the Basic Concepts.$gII.2.$tPreliminaries: Processes, Filtrations, and Stopping Times.$gII.3.$tMartingale Theory.$gII.4.$tCounting Processes.$gII.5.$tLimit Theory.$gII.6.$tProduct-Integration and Markov Processes.$gII.7.$tLikelihoods and Partial Likelihoods for Counting Processes.$gII.8.$tThe Functional Delta-Method.$gII.9.$tBibliographic Remarks --$gIII.$tModel Specification and Censoring.$gIII.1.$tExamples of Counting Process models for Complete Life History Data. The Multiplicative Intensity Model.$gIII.2.$tRight-Censoring.$gIII.3.$tLeft-Truncation.$gIII.4.$tGeneral Censorship, Filtering, and Truncation.$gIII.5.$tPartial Model Specification. Time-Dependent Covariates.$gIII.6.$tBibliographic Remarks --$gIV.$tNonparametric Estimation.$gIV.1.$tThe Nelson-Aalen estimator.
505 80 $gIV.2.$tSmoothing the Nelson-Aalen Estimator.$gIV.3.$tThe Kaplan-Meier Estimator.$gIV.4.$tThe Product-Limit Estimator for the Transition Matrix of a Nonhomogeneous Markov Process.$gIV.5.$tBibliographic Remarks --$gV.$tNonparametric Hypothesis Testing.$gV.1.$tOne-Sample Tests.$gV.2.$tk-Sample Tests.$gV.3.$tOther Linear Nonparametric Tests.$gV.4.$tUsing the Complete Test Statistic Process.$gV.5.$tBibliographic Remarks --$gVI.$tParametric Models.$gVI.1.$tMaximum Likelihood Estimation.$gVI.2.$tM-Estimators.$gVI.3.$tModel Checking.$gVI.4.$tBibliographic Remarks --$gVII.$tRegression Models.$gVII.1.$tIntroduction. Regression Model Formulation.$gVII.2.$tSemiparametric Multiplicative Hazard Models.$gVII.3.$tGoodness-of-Fit Methods for the Semiparametric Multiplicative Hazard Model.$gVII.4.$tNonparametric Additive Hazard Models.$gVII.5.$tOther Non- and Semi-parametric Regression Models.$gVII.6.$tParametric Regression Models.$gVII.7.$tBibliographic Remarks --$gVIII.$tAsymptotic Efficiency.
505 80 $gVIII.1.$tContiguity and Local Asymptotic Normality.$gVIII.2.$tLocal Asymptotic Normality in Counting Process Models.$gVIII.3.$tInfinite-dimensional Parameter Spaces: the General Theory.$gVIII.4.$tSemiparametric Counting Process Models.$gVIII.5.$tBibliographic Remarks --$gIX.$tFrailty Models.$gIX.1.$tIntroduction.$gIX.2.$tModel Construction.$gIX.3.$tLikelihoods and Intensities.$gIX.4.$tParametric and Nonparametric Maximum Likelihood Estimation with the EM-Algorithm.$gIX.5.$tBibliographic Remarks --$gX.$tMultivariate Time Scales.$gX.1.$tExamples of Several Time Scales.$gX.2.$tSequential Analysis of Censored Survival Data with Staggered Entry.$gX.3.$tNonparametric Estimation of the Multivariate Survival Function.$gX.4.$tBibliographic Remarks.$tAppendix: The Melanoma Survival Data and Standard Mortality Tables for the Danish Population 1971-75.
650 0 $aPoint processes.$0http://id.loc.gov/authorities/subjects/sh85103921
650 0 $aMathematical statistics.$0http://id.loc.gov/authorities/subjects/sh85082133
650 7 $aProcessus ponctuels.$2ram
650 7 $aStatistique mathématique.$2ram
653 0 $aStatistical mathematics
700 1 $aAndersen, Per Kragh.$0http://id.loc.gov/authorities/names/n84057705
830 0 $aSpringer series in statistics.$0http://id.loc.gov/authorities/names/n42023188
852 00 $bmat$hQA274.42$i.S75 1993