LEADER 02240nam1 2200529 450 001 990003015820203316 005 20071119103220.0 035 $a000301582 035 $aUSA01000301582 035 $a(ALEPH)000301582USA01 035 $a000301582 100 $a20071119d20052006km-y0itay50------ba 101 $aeng 102 $aDE 105 $a||||||||001yy 200 1 $aMotif-index of German secular narratives from the beginning to 1400$fedited by the Austrian Academy of Sciences, under the direction of Helmut Birkhan$gedited by Karin Lichtblau and Christa Tuczay$gin collaboration with Ulrike Hirhager and Rainer Sigl 210 $aBerlin [etc.]$cW. de Gruyter$dc2005-c2006 215 $a6 v. in 7$d25 cm.$e1 CD-ROM (4 3/4 in.) 410 0$12001 454 1$12001 461 1$1001-------$12001 463 \1$1001990003015860203316$12001 $a<<1.>> : Matière de Bretagne$eAlbrecht, Jungerer Titurel-Lancelot 2 463 \1$1001990003015960203316$12001 $a<<2.>> : Matière de Bretagne$eLancelot 3 - Wolfram von Eschenbach, Titurel 463 \1$1001990003015980203316$12001 $a<<3.>> : Miscellaneous romances, oriental romances, chansons de geste 463 \1$1001990003015990203316$12001 $a<<4.>> : Heroic epic, maere and novellas 463 \1$1001990003016020203316$12001 $a<<5.>> : Romances of Antiquity 463 \1$1001990003016050203316$12001 $a<<6.1.>> : Index$eKeywords and names 463 \1$1001990003016080203316$12001 $a<<6.2.>> : Index$eMotifs 606 0 $aLetteratura tedesca$xTemi$xIndici 606 0 $aPoesia tedesca$xMedio-alto tedesco$xTemi$xIndici 676 $a830.93 702 1$aBIRKHAN,$bHelmut 702 1$aLICHTBLAU,$bKarin 702 1$aTUCZAY,$bChrista 702 1$aHIRHAGER,$bUlrike 702 1$aSIGL,$bRainer 712 02$aÖsterreichische Akademie der Wissenschaften 801 0$aIT$bsalbc$gISBD 912 $a990003015820203316 951 $aVII.1.B. 174/$bL.M.$cVII.1.B. 959 $aBK 969 $aUMA 979 $aRIVELLI$b90$c20071119$lUSA01$h1010 979 $aRIVELLI$b90$c20071119$lUSA01$h1013 979 $aRIVELLI$b90$c20071119$lUSA01$h1032 996 $aMotif-index of German secular narratives from the beginning to 1400$91024933 997 $aUNISA LEADER 05350nam 2200637 450 001 9910453247103321 005 20200520144314.0 010 $a981-4531-75-8 035 $a(CKB)2550000001160086 035 $a(EBL)1561223 035 $a(OCoLC)863040738 035 $a(SSID)ssj0000952352 035 $a(PQKBManifestationID)12432337 035 $a(PQKBTitleCode)TC0000952352 035 $a(PQKBWorkID)10902330 035 $a(PQKB)10301991 035 $a(MiAaPQ)EBC1561223 035 $a(WSP)00008925 035 $a(PPN)189428589 035 $a(Au-PeEL)EBL1561223 035 $a(CaPaEBR)ebr10801069 035 $a(CaONFJC)MIL543291 035 $a(EXLCZ)992550000001160086 100 $a20130716h20142014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical tests of nonparametric hypotheses $easymptotic theory /$fOdile Pons, French National Institute for Agronomical Research, France 210 1$a[Hackensack] New Jersey :$cWorld Scientific,$d[2014] 210 4$d©2014 215 $a1 online resource (304 p.) 300 $aDescription based upon print version of record. 311 $a981-4531-74-X 311 $a1-306-12040-3 320 $aIncludes bibliographical references and index. 327 $aPreface; Contents; 1. Introduction; 1.1 Definitions; 1.2 Rank tests and empirical distribution functions; 1.3 Hypotheses of the tests; 1.4 Weak convergence of the test statistics; 1.5 Tests for densities and curves; 1.6 Asymptotic levels of tests; 1.7 Permutation and bootstrap tests; 1.8 Relative efficiency of tests; 2. Asymptotic theory; 2.1 Parametric tests; 2.2 Parametric likelihood ratio tests; 2.3 Likelihood ratio tests against local alternatives; 2.4 Nonparametric likelihood ratio tests; 2.5 Nonparametric tests for empirical functionals; 2.6 Tests of homogeneity 327 $a2.7 Mixtures of exponential distributions2.8 Nonparametric bootstrap tests; 2.9 Exercises; 3. Nonparametric tests for one sample; 3.1 Introduction; 3.2 Kolmogorov-Smirnov tests for a distribution function; 3.3 Tests for symmetry of a density; 3.3.1 Kolmogorov-Smirnov tests for symmetry; 3.3.2 Semi-parametric tests, with an unknown center; 3.3.3 Rank test for symmetry; 3.4 Tests about the formof a density; 3.5 Goodness of fit test in biased length models; 3.6 Goodness of fit tests for a regression function; 3.7 Tests about the form of a regression function 327 $a3.8 Tests based on observations by intervals3.8.1 Goodness of fit tests for a density; 3.8.2 Goodness of fit tests for a regression function; 3.8.3 Tests of symmetry for a density; 3.8.4 Tests of a monotone density; 3.9 Exercises; 4. Two-sample tests; 4.1 Introduction; 4.2 Tests of independence; 4.2.1 Kolmogorov-Smirnov and Cramer-von Mises tests; 4.2.2 Tests based on the dependence function; 4.2.3 Tests based on the conditional distribution; 4.3 Test of homogeneity; 4.4 Goodness of fit tests in R2; 4.5 Tests of symmetry for a bivariate density; 4.6 Tests about the form of densities 327 $a4.7 Comparison of two regression curves4.8 Tests based on observations by intervals; 4.8.1 Test of independence; 4.8.2 Test of homogeneity; 4.8.3 Comparison of two regression curves; 4.9 Exercises; 5. Multi-dimensional tests; 5.1 Introduction; 5.2 Tests of independence; 5.3 Test of homogeneity of k sub-samples; 5.4 Test of homogeneity of k rescaled distributions; 5.5 Test of homogeneity of several variables of Rk; 5.6 Test of equality of marginal distributions; 5.7 Test of exchangeable components for a random variable; 5.8 Tests in single-indexmodels; 5.9 Comparison of k curves 327 $a5.10 Tests in proportional odds models5.11 Tests for observations by intervals; 5.11.1 Test of independence; 5.11.2 Test of homogeneity; 5.11.3 Comparison of k regression curves; 5.12 Competing risks; 5.13 Tests for Markov renewal processes; 5.14 Tests in Rkn as kn tends to infinity; 5.15 Exercises; 6. Nonparametric tests for processes; 6.1 Introduction; 6.2 Goodness of fit tests for an ergodic process; 6.3 Poisson process; 6.4 Poisson processes with scarce jumps; 6.5 Point processes in R+; 6.6 Marked point processes; 6.7 Spatial Poisson processes 327 $a6.8 Tests of stationarity for point processes 330 $aAn overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of topics: Neyman-Pearson and LeCam's theories of optimal tests, the theories of empirical processes and kernel estimators with extensions of their applications to the asymptotic behavior of tests for distribution functions, densities and curves of the nonparametric models defining the distributions of point processes and diffusions. With many new test statistics developed for smooth curves, the reliance on kernel estimators with bias corrections and the weak convergence of the 606 $aNonparametric statistics$xAsymptotic theory 608 $aElectronic books. 615 0$aNonparametric statistics$xAsymptotic theory. 676 $a519.5/4 700 $aPons$b Odile$0898420 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910453247103321 996 $aStatistical tests of nonparametric hypotheses$92156473 997 $aUNINA