MARC Record from marc_columbia

LEADER: 02088mam a2200313 a 4500
001 2182608
005 20220615223734.0
008 980428t19981998nyu b 001 0 eng
010 $a 98020301
020 $a038798562X (softcover : alk. paper)
035 $a(OCoLC)ocm39052235
035 $9ANQ5567CU
035 $a2182608
040 $aDLC$cDLC$dOrLoB-B
050 00 $aQA274.42$b.K87 1998
082 00 $a519.2/3$221
100 1 $aKutoyants, Yu. A.$0http://id.loc.gov/authorities/names/n85105605
245 10 $aStatistical inference for spatial Poisson processes /$cYu. A. Kutoyants.
260 $aNew York :$bSpringer,$c[1998], ©1998.
300 $avii, 276 pages ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aLecture notes in statistics ;$v134
504 $aIncludes bibliographical references (p. 265-274) and index.
505 00 $g1.$tAuxiliary Results.$g1.1.$tPoisson process.$g1.2.$tEstimation problems --$g2.$tFirst Properties of Estimators.$g2.1.$tAsymptotic of the maximum likelihood and Bayesian estimators.$g2.2.$tMinimum distance estimation.$g2.3.$tSpecial models of Poisson processes --$g3.$tAsymptotic Expansions.$g3.1.$tExpansion of the MLE.$g3.2.$tExpansion of the Bayes estimator.$g3.3.$tExpansion of the minimum distance estimator.$g3.4.$tExpansion of the distribution functions --$g4.$tNonstandard Problems.$g4.1.$tMisspecified model.$g4.2.$tNonidentifiable model.$g4.3.$tOptimal choice of observation windows.$g4.4.$tOptimal choice of intensity function --$g5.$tThe Change-Point Problems.$g5.1.$tPhase and frequency estimation.$g5.2.$tChess-field problem.$g5.3.$tTop-hat problem --$g6.$tNonparametric Estimation.$g6.1.$tIntensity measure estimation.$g6.2.$tIntensity function estimation.
650 0 $aPoisson processes.$0http://id.loc.gov/authorities/subjects/sh85103958
650 0 $aParameter estimation.$0http://id.loc.gov/authorities/subjects/sh85097853
830 0 $aLecture notes in statistics (Springer-Verlag) ;$vv. 134.$0http://id.loc.gov/authorities/names/n42015168
852 00 $bmat$hQA274.42$i.K87 1998