LEADER 01076nam a2200265 i 4500 001 991003773629707536 005 20020509131922.0 008 010329s1947 fr ||| | fre 035 $ab11212639-39ule_inst 035 $aPARLA188333$9ExL 040 $aDip.to Filol. Class. e di Scienze Filosofiche$bita 082 0 $a481 100 1 $aChantraine, Pierre$0386469 245 10$aMorphologie historique du grec /$cpar P. Chantraine 260 $aParis :$bKlincksieck,$c1947 300 $axii, 442 p. ;$c18 cm 490 0 $aNouvelle collection à l'usage des classes ;$v34 650 4$aLingua greca - Grammatica storica 907 $a.b11212639$b14-02-22$c01-07-02 912 $a991003773629707536 945 $aLE007 b 950$g1$i2007000055205$lle007$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i11365249$z01-07-02 945 $aLE007 Fondo Prato 96$g1$i2007000306468$lle007$nLE007 Fondo Prato$on$pE30.00$q-$rl$so $t0$u0$v0$w0$x0$y.i15996244$z14-02-22 996 $aMorphologie historique du grec$984173 997 $aUNISALENTO 998 $ale007$b01-01-01$cm$da $e-$ffre$gfr $h0$i1 LEADER 04693nam 22006134a 450 001 9910784880403321 005 20230828224919.0 010 $a1-281-37898-4 010 $a9786611378981 010 $a981-277-473-4 035 $a(CKB)1000000000402037 035 $a(EBL)1681702 035 $a(OCoLC)879025573 035 $a(SSID)ssj0000236844 035 $a(PQKBManifestationID)11203241 035 $a(PQKBTitleCode)TC0000236844 035 $a(PQKBWorkID)10188189 035 $a(PQKB)11352553 035 $a(MiAaPQ)EBC1681702 035 $a(WSP)00005915 035 $a(Au-PeEL)EBL1681702 035 $a(CaPaEBR)ebr10201283 035 $a(CaONFJC)MIL137898 035 $a(EXLCZ)991000000000402037 100 $a20050701d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aResponse surface methodology and related topics$b[electronic resource] /$feditor, Andre? I. Khuri 210 $aHacenksack, N.J. $cWorld Scientific$dc2006 215 $a1 online resource (472 p.) 300 $aDescription based upon print version of record. 311 $a981-256-458-6 320 $aIncludes bibliographical references and index. 327 $aContents ; Preface ; List of Contributors ; Chapter 1 Two-Level Factorial and Fractional Factorial Designs in Blocks of Size Two. Part 2 ; 1. Introduction ; 2. The Six Factor 64 Runs 26 Design ; 3. Definitions and Notation ; 4. Combination Design Selection Process 327 $a5. Case k = 6 d = 2 6. Case k = 6 d = 3 ; 7. Case k = 6 d = 4 ; 8. Case k = 6 d = 5 ; 9. Case k = 6 d = 6 ; 10. Sequential Designs for k = 7 Factors ; 11. Sequential Designs for k = 8 Factors ; References ; Chapter 2 Response Surface Experiments on Processes with High Variation 327 $a1. Introduction 2. Design Strategy ; 3. Choice of Size of Experiment ; 4. Choice of Treatments ; 5. Unit Structures ; 6. Multi-Stratum Designs ; 7. Data Analysis ; 8. Final Comments ; References 327 $aChapter 3 Random Run Order Randomization and Inadvertent Split-Plots in Response Surface Experiments 1. Introduction ; 2. Why Statistical Tests from RRO Experiments are Misleading ; 3. Examining the Split-Plotting Effect over All Randomizations 327 $a4. The Diagnostic Power to Retrospectively Detect the Randomization Restriction 5. The Expected Covariance Matrix for RRO Experiments ; 6. G-Efficiencies and Cost When an RRO is Used ; 7. Remarks ; References ; Chapter 4 Statistical Inference for Response Surface Optima 327 $a1. Introduction 330 $aThis is the first edited volume on response surface methodology (RSM). It contains 17 chapters written by leading experts in the field and covers a wide variety of topics ranging from areas in classical RSM to more recent modeling approaches within the framework of RSM, including the use of generalized linear models. Topics covering particular aspects of robust parameter design, response surface optimization, mixture experiments, and a variety of new graphical approaches in RSM are also included. The main purpose of this volume is to provide an overview of the key ideas that have shaped RSM, 606 $aResponse surfaces (Statistics) 615 0$aResponse surfaces (Statistics) 676 $a519.5 701 $aKhuri$b Andre? I.$f1940-$0251821 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784880403321 996 $aResponse surface methodology and related topics$93716840 997 $aUNINA LEADER 04336nam 22008055 450 001 9910483829803321 005 20251113185043.0 010 $a3-319-57529-5 024 7 $a10.1007/978-3-319-57529-2 035 $a(CKB)3850000000027406 035 $a(DE-He213)978-3-319-57529-2 035 $a(MiAaPQ)EBC6285072 035 $a(MiAaPQ)EBC5577649 035 $a(Au-PeEL)EBL5577649 035 $a(OCoLC)985359153 035 $a(PPN)200512595 035 $a(EXLCZ)993850000000027406 100 $a20170422d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Data Mining $e21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II /$fedited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXXII, 857 p. 252 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10235 311 08$a3-319-57528-7 327 $aClassification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction. 330 $aThis two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. 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