00981nam0-22003491i-450-99000316897040332120070601095737.088-7021-091-4000316897FED01000316897(Aleph)000316897FED0100031689720030910d1979----km-y0itay50------baitaIT<<La >>progettazione del risparmio energeticoPeter Burberry.PadovaMuzzi & C.1979.139 p.24 cm<<Le >>scienze dell'artificiale[Tit.orig.: Building for Energy Conservation, 1978]H/0.2H/2.221Burberry,PeterITUNINARICAUNIMARCBK990003168970403321H/2221 BUR10345/ISES08 AA 783699 C.E.DINEDSESDINEDProgettazione del risparmio energetico457554UNINA03216nam 2200565 450 99646639960331620230619193731.0981-16-3172-710.1007/978-981-16-3172-6(CKB)4100000012000348(DE-He213)978-981-16-3172-6(MiAaPQ)EBC6700738(Au-PeEL)EBL6700738(PPN)257354301(EXLCZ)99410000001200034820220429d2021 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierMethods for the analysis of asymmetric proximity data /Giuseppe Bove, Akinori Okada and Donatella Vicari1st ed. 2021.Gateway East, Singapore :Springer,[2021]©20211 online resource (X, 194 p. 68 illus., 39 illus. in color.)Behaviormetrics: Quantitative Approaches to Human Behavior,2524-4035 ;7981-16-3171-9 Includes bibliographical references.Introduction -- Methods for direct representation of asymmetry -- Analysis of symmetry and skew-symmetry -- Cluster analysis for asymmetry -- Multiway models -- Software. .This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data. A major objective of this book is to present to applied researchers a set of methods and algorithms for graphical representation and clustering of asymmetric relationships. Data frequently concern measurements of asymmetric relationships between pairs of objects from a given set (e.g., subjects, variables, attributes,…), collected in one or more matrices. Examples abound in many different fields such as psychology, sociology, marketing research, and linguistics and more recently several applications have appeared in technological areas including cybernetics, air traffic control, robotics, and network analysis. The capabilities of the presented algorithms are illustrated by carefully chosen examples and supported by extensive data analyses. A review of the specialized statistical software available for the applications is also provided. This monograph is highly recommended to readers who need a complete and up-to-date reference on methods for asymmetric proximity data analysis.Behaviormetrics: Quantitative Approaches to Human Behavior,2524-4035 ;7Asymptotic distribution (Probability theory)StatisticsEstadísticathubLlibres electrònicsthubAsymptotic distribution (Probability theory)Statistics.Estadística519.24Bove Giuseppe125384Okada Akinori1943-Vicari DonatellaMiAaPQMiAaPQMiAaPQBOOK996466399603316Methods for the Analysis of Asymmetric Proximity Data1903901UNISA01658nas 2200577-a 450 99620469540331620200728074350.51878-013X(DE-599)ZDB2420750-0(OCoLC)226437682(CKB)1000000000366383(CONSER)--2009263434(EXLCZ)99100000000036638320080430a20089999 s-- -engur|||||||||||txtrdacontentcrdamediacrrdacarrierInternational emergency nursing[New York, N.Y.] Elsevier Science©2007-Refereed/Peer-reviewed1755-599X INT EMERG NURSINT. EMERG. NURSEmergency nursingPeriodicalsEmergency nursingfast(OCoLC)fst00908627AccidentsEmergenciesnursingEmergency NursingNursing CareAccidentsPeriodicalsEmergenciesnursingPeriodicalsNursing CarePeriodicalsEmergency NursingPeriodicalsPeriodicals.fastNursingEmergency nursingEmergency nursing.Accidents.Emergenciesnursing.Emergency Nursing.Nursing Care.AccidentsEmergenciesnursingNursing CareEmergency NursingJOURNAL996204695403316International emergency nursing1903145UNISA01007nam a22002651i 450099100014067970753620240202125459.0020915s1984 it a||||||||||||||||ita b11965046-39ule_instARCHE-005484Dip.to Filologia Ling. e Lett.itaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.945.73Doria, Gino<1888-1975>296125Viaggiatori stranieri a Napoli /Gino Doria ; prefazione di Antonio GhirelliNapoli :Guida,1984199 p. :ill. ;35 cmImmaginiNapoliSec. 17.-20.Viaggiatori stranieriNapoliSec. 17.-20..b1196504602-04-1401-04-03991000140679707536LE008 Cr M VIII 3412008000238056le008-E0.00-l-00000.i1224315201-04-03Viaggiatori stranieri a Napoli137123UNISALENTOle00801-04-03ma-itait01