02881nam 2200505 a 450 991014143880332120220429100950.01-118-39167-51-282-24188-597866138130081-118-39168-31-118-30458-61-118-39165-9(MiAaPQ)EBC875890(PPN)170610772(EXLCZ)99267000000023037620120306d2012 uy 0engur|n|---|||||Methods of multivariate analysis[electronic resource] /Alvin C. Rencher, William F. Christensen3rd ed.Hoboken, N.J. Wileyc20121 online resource (xxv, 758 p.) illWiley series in probability and statistics0-470-17896-5 Includes bibliographical references and index.1. Introduction; 2. Matrix Algebra; 3. Characterizing and Displaying Multivariate Data; 4. The Multivariate Normal Distribution; 5. Tests on One or Two Mean Vectors; 6. Multivariate Analysis of Variance; 7. Tests on Covariance Matrices; 8. Discriminant Analysis: Description of Group Separation; 9. Classification Analysis: Allocation of Observations to Groups; 10. Multivariate Regression; 11. Canonical Correlation; 12. Principal Component Analysis; 13. Exploratory Factor Analysis; 14. Confirmatory Factor Analysis; 15. Cluster Analysis; 16. Graphical Procedures; Appendix A: Tables; Appendix B: Answers and Hints to Problems; Appendix C: Data Sets and SAS Files; References; Index."This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content. Each chapter contains exercises, providing readers with the opportunity to test and extend their understanding. The new edition also presents several expanded topics in Kronecker product; prediction errors; maximum likelihood estimation; and selective key, but accessible proofs. This resource meets the needs of both statistics majors and those of students and professionals in other fields"--Provided by publisher.Wiley series in probability and statistics.Multivariate analysisAnàlisi multivariablethubLlibres electrònicsthubMultivariate analysis.Anàlisi multivariable519.5/35MAT029020bisacshRencher Alvin C.1934-116940Christensen William F.1970-995851MiAaPQMiAaPQMiAaPQBOOK9910141438803321Methods of multivariate analysis2281841UNINA01943nam 2200445z- 450 9910476902303321202105281000126389(CKB)5470000000567011(oapen)https://directory.doabooks.org/handle/20.500.12854/70107(oapen)doab70107(EXLCZ)99547000000056701120202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierProbabilistic Motion Planning for Automated VehiclesKarlsruheKIT Scientific Publishing20211 online resource (194 p.)Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie3-7315-1070-7 In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended safety verification framework. The approaches consider uncertainties from imperfect perception, occlusions and limited sensor range, and also those in the behavior of other traffic participants.Mechanical engineering & materialsbicsscAutomated VehiclesAutomatisiertes FahrenBewegungsplanungDecision-MakingEntscheidungsfindungMotion PlanningPlanning under UncertaintyPlanung unter UnsicherheitenPOMDPMechanical engineering & materialsNaumann Maximilianauth1319540BOOK9910476902303321Probabilistic Motion Planning for Automated Vehicles3033941UNINA