LEADER 01052cam0-22003611i-450- 001 990007067980403321 005 20100714111450.0 010 $a88-348-1234-4 035 $a000706798 035 $aFED01000706798 035 $a(Aleph)000706798FED01 035 $a000706798 100 $a20020402d2001----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aProdotti turistici evoluti$ecasi ed esperienze in Italia$fa cura di Maurizio Rispoli 210 $aTorino$cGiappichelli$d2001 215 $aXV, 330 p.$d24 cm 225 1 $a<>produzione e l'organizzazione dei viaggi e del turismo$v7 610 0 $aTurismo$aItalia 676 $a338.4791$v21$zita 676 $a046.002 702 1$aRispoli,$bMaurizio$f<1937- > 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007067980403321 952 $aCollez. 1856 (7)$b38061$fFSPBC 952 $a046.002.RIS$b3346$fDECGE 959 $aFSPBC 959 $aDECGE 996 $aProdotti turistici evoluti$968189 997 $aUNINA LEADER 02246nam 2200505 n 450 001 996397094203316 005 20200824121335.0 035 $a(CKB)4940000000064445 035 $a(EEBO)2248519204 035 $a(UnM)99825713e 035 $a(UnM)99825713 035 $a(EXLCZ)994940000000064445 100 $a19941107d1698 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe whole duty of man$b[electronic resource] $elaid down in a plain and familiar way for the use of all, but especially the meanest reader. Divided into XVII. chapters; one whereof being read every Lord's Day, the whole may be read over thrice in the year. Necessary for all families. With private devotions for several occasions 210 $aLondon $cprinted by R. Norton for Edward Pawlet, at the sign of the Bible in Chancery-Lane, near Fleetstreet$d1698 215 $a[16], 503, [9] p., [1] leaf of plate 300 $aPublished anonymously and variously attributed to Lady Dorothy Pakington, Archbishop Sterne, Bishop John Fell, and others, although now generally attributed to Richard Allestree--DNB. 300 $a"Private devotions for several occasions" has separate dated title page; register and pagination are continuous. 300 $aWith an added engraved title page. 300 $a"To the bookseller" signed: H. Hammond. 300 $aWith a final advertisement leaf. 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 606 $aChristian life$vEarly works to 1800 606 $aDevotional exercises$vEarly works to 1800 606 $aPrayers$vEarly works to 1800 615 0$aChristian life 615 0$aDevotional exercises 615 0$aPrayers 700 $aAllestree$b Richard$f1619-1681.$0793142 701 $aHammond$b Henry$f1605-1660.$0322258 701 $aAllestree$b Richard$f1619-1681.$0793142 702 $aFell$b John$f1625-1686, 702 $aSterne$b Richard$f1596?-1683, 702 $aPakington$b Dorothy Coventry$cLady,$fd. 1679, 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996397094203316 996 $aThe whole duty of man$92308995 997 $aUNISA LEADER 03888nam 22006975 450 001 9910741194703321 005 20260330180748.0 010 $a9783031316364 010 $a3031316363 024 7 $a10.1007/978-3-031-31636-4 035 $a(CKB)27965612600041 035 $a(DE-He213)978-3-031-31636-4 035 $a(PPN)272272647 035 $a(MiAaPQ)EBC30682611 035 $a(Au-PeEL)EBL30682611 035 $a(MiAaPQ)EBC30766880 035 $a(Au-PeEL)EBL30766880 035 $a(EXLCZ)9927965612600041 100 $a20230809d2023 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Driven Model Learning for Engineers $eWith Applications to Univariate Time Series /$fby Guillaume Mercère 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (X, 212 p. 93 illus., 54 illus. in color.) 311 08$a9783031316357 330 $aThe main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate their applicability directly with stationary time series. A multi-step approach is introduced for modeling time series which differs from the mainstream in the literature. Singular spectrum analysis of univariate time series, trend and seasonality modeling with least squares and residual analysis, and modeling with ARMA models are discussed in more detail. As applications of data-driven model learning become widespread in society, engineers need to understand its underlying principles, then the skills to develop and use the resulting data-driven model learning solutions. After reading this book, the users will have acquired the background, the knowledge and confidence to (i) read other model learning textbooks more easily, (ii) use linear algebra and statistics for data analysis and modeling, (iii) explore other fields of applications where model learning from data plays a central role. Thanks to numerous illustrations and simulations, this textbook will appeal to undergraduate and graduate students who need a first course in data-driven model learning. It will also be useful for practitioners, thanks to the introduction of easy-to-implement recipes dedicated to stationary time series model learning. Only a basic familiarity with advanced calculus, linear algebra and statistics is assumed, making the material accessible to students at the advanced undergraduate level. 606 $aTime-series analysis 606 $aMachine learning 606 $aStatistics 606 $aTime Series Analysis 606 $aStatistical Learning 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aEnginyeria$2thub 606 $aModels matemàtics$2thub 606 $aProcessament de dades$2thub 606 $aAnàlisi de sèries temporals$2thub 608 $aLlibres electrònics$2thub 615 0$aTime-series analysis. 615 0$aMachine learning. 615 0$aStatistics. 615 14$aTime Series Analysis. 615 24$aStatistical Learning. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 7$aEnginyeria 615 7$aModels matemàtics. 615 7$aProcessament de dades 615 7$aAnàlisi de sèries temporals 676 $a519.55 676 $a620.00151955 700 $aMercère$b Guillaume$4aut$4http://id.loc.gov/vocabulary/relators/aut$01428817 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910741194703321 996 $aData Driven Model Learning for Engineers$93566199 997 $aUNINA