LEADER 01553nam0-22003251--450- 001 990008549890403321 005 20120330195421.0 035 $a000854989 035 $aFED01000854989 035 $a(Aleph)000854989FED01 035 $a000854989 100 $a20070913d1576----km-y0itay50------ba 101 0 $alat 102 $aIT 105 $a--------001yy 200 1 $aIoan. Vincentii de Anna v.i.d. celeberrimi, aduocati feudist, patritii Parthenopei ... Septuaginta allegationes, ac repetitio rubricae et capituli primi, de vas. decrep. aetat. et constitutionis regni diuae memoriae, ac libellus omnium legum allegatarum per Andr. de Isernia in vsibus feudorum. Cum indice locorum rerumque omnium locupletissimo 210 $aVenetiis$csumptibus domini Anielli Sancti Viti$d1576 215 $afisica: [18], 174 [i.e. 172] c.$dfol 676 $a340 700 1$aD'Anna,$bGiovanni Vincenzo$0238002 701 0$aAndrea d'Isernia$f$0409692 719 00$aPolo,$gGirolamo$4650 719 00$aSanvito,$gAniello$4650 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aAQ 912 $a990008549890403321 952 $aSDI-E 91$b3623$fSDI 959 $aSDI 996 $aIoan. Vincentii de Anna v.i.d. celeberrimi, aduocati feudist, patritii Parthenopei ... Septuaginta allegationes, ac repetitio rubricae et capituli primi, de vas. decrep. aetat. et constitutionis regni diuae memoriae, ac libellus omnium legum allegatarum per Andr. de Isernia in vsibus feudorum. Cum indice locorum rerumque omnium locupletissimo$9709572 997 $aUNINA LEADER 04899nam 22006375 450 001 9910484687403321 005 20250316182624.0 010 $a9783030461614 010 $a3030461610 024 7 $a10.1007/978-3-030-46161-4 035 $a(CKB)4100000011263833 035 $a(MiAaPQ)EBC6208497 035 $a(DE-He213)978-3-030-46161-4 035 $a(PPN)248397974 035 $a(EXLCZ)994100000011263833 100 $a20200522d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aContemporary Experimental Design, Multivariate Analysis and Data Mining $eFestschrift in Honour of Professor Kai-Tai Fang /$fedited by Jianqing Fan, Jianxin Pan 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (xvii, 386 pages) 311 08$a9783030461607 311 08$a3030461602 327 $aPart I Review of Kai-Tai Fang?s Contribution -- 1 Walking on the Road to the Statistical Pyramid -- 2 The contribution to experimental designs by Kai-Tai Fang -- 3 From ?Clothing Standard? to ?Chemometrics? -- 4 A Review of Professor Kai-Tai Fang?s Contribution to the Education, Promotion, and Advancement of Statistics in China -- Part II Design of Experiments -- 5 Is a Transformed Low Discrepancy Design Also Low Discrepancy? -- 6 The construction of optimal design for order-of-addition experiment via threshold accepting -- 7 Construction of Uniform Designs on Arbitrary Domains by Inverse Rosenblatt Transformation -- 8 Drug Combination Studies, Uniform Experimental Design and Extensions -- 9 Modified robust design criteria for Poisson mixed models -- 10 Study of Central Composite Design and Orthogonal Array Composite Design -- 11 Uniform design on manifold -- Part III Multivariate Analysis -- 12 An Application of the Theory of Spherical Distributions in Multiple Mean Comparison -- 13 Estimating the Location Vector for Spherically Symmetric Distributions -- 14 On equidistant designs, symmetries and their violations in multivariate models -- 15 Estimation of covariance matrix with ARMA structure through quadratic loss function -- Part IV Data Mining -- 16 Depth Importance in Precision Medicine (DIPM): A Tree and Forest Based Method -- 17 Bayesian Mixture Models with Weight-Dependent Component Priors -- 18 Cosine Similarity-Based Classifiers for Functional Data -- Part V Hypothesis Test and Statistical Models -- 19 Projection Test with Sparse Optimal Direction for High-dimensional One Sample Mean Problem -- 20 Goodness-of-fit tests for correlated bilateral data from multiple groups -- 21 A Bilinear Reduced Rank Model -- 22 Simultaneous multiple change points estimation in generalized linear models -- 23 Data-Based Priors for Bayesian Model Averaging -- 24 Quantile regression with Gaussian kernels. 330 $aThe collection and analysis of data play an important role in many ?elds of science and technology, such as computational biology, quantitative ?nance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised by massive dimensions and complexity. In celebration of Professor Kai-Tai Fang?s 80th birthday, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. The book features four review papers on Professor Fang?s numerous contributions to the fields of experimental design, multivariate analysis, data mining and education. It also contains twenty research articles contributed by prominent and active figures in their fields. The articles cover a wide range of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models. 606 $aStatistics 606 $aData mining 606 $aBig data 606 $aBiometry 606 $aStatistical Theory and Methods 606 $aData Mining and Knowledge Discovery 606 $aBig Data 606 $aBiostatistics 615 0$aStatistics. 615 0$aData mining. 615 0$aBig data. 615 0$aBiometry. 615 14$aStatistical Theory and Methods. 615 24$aData Mining and Knowledge Discovery. 615 24$aBig Data. 615 24$aBiostatistics. 676 $a006.312 676 $a519.5 702 $aFan$b Jianqing$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPan$b Jianxin$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484687403321 996 $aContemporary Experimental Design, Multivariate Analysis and Data Mining$92070429 997 $aUNINA