04535nam 22007335 450 991029978420332120250316192610.09783662451717366245171910.1007/978-3-662-45171-7(CKB)3710000000360409(SSID)ssj0001452134(PQKBManifestationID)11801494(PQKBTitleCode)TC0001452134(PQKBWorkID)11478735(PQKB)11595220(DE-He213)978-3-662-45171-7(MiAaPQ)EBC6312206(MiAaPQ)EBC5596401(Au-PeEL)EBL5596401(OCoLC)904280703(PPN)184493854(EXLCZ)99371000000036040920150226d2015 u| 0engurnn#008mamaatxtccrApplied Multivariate Statistical Analysis /by Wolfgang Karl Härdle, Léopold Simar4th ed. 2015.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2015.1 online resource (XIII, 580 p. 221 illus., 83 illus. in color.)Bibliographic Level Mode of Issuance: Monograph9783662451700 3662451700 I Descriptive Techniques: Comparison of Batches -- II Multivariate Random Variables: A Short Excursion into Matrix Algebra -- Moving to Higher Dimensions -- Multivariate Distributions -- Theory of the Multinormal -- Theory of Estimation -- Hypothesis Testing -- III Multivariate Techniques: Regression Models -- Variable Selection -- Decomposition of Data Matrices by Factors -- Principal Components Analysis -- Factor Analysis -- Cluster Analysis -- Discriminant Analysis -- Correspondence Analysis -- Canonical Correlation Analysis -- Multidimensional Scaling -- Conjoint Measurement Analysis -- Applications in Finance -- Computationally Intensive Techniques -- IV Appendix: Symbols and Notations -- Data.Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added. All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior. All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.StatisticsSocial sciencesMathematicsEconometricsStatisticsStatistics in Business, Management, Economics, Finance, InsuranceMathematics in Business, Economics and FinanceQuantitative EconomicsStatistical Theory and MethodsStatistics.Social sciencesMathematics.Econometrics.Statistics.Statistics in Business, Management, Economics, Finance, Insurance.Mathematics in Business, Economics and Finance.Quantitative Economics.Statistical Theory and Methods.519.535Härdle Wolfgang Karlauthttp://id.loc.gov/vocabulary/relators/aut732741Simar Léopoldauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299784203321Applied Multivariate Statistical Analysis2504063UNINA01994nam 2200445z- 450 9910688558703321202102111000041878(CKB)4920000000102006(oapen)https://directory.doabooks.org/handle/20.500.12854/49891(oapen)doab49891(EXLCZ)99492000000010200620202102d2013 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierImage Analysis and Evaluation of Cylinder Bore Surfaces in MicrographsKIT Scientific Publishing20131 online resource (II, 115 p. p.)Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie3-7315-0239-9 This work presents two image-based inspection approaches for the quality evaluation of cylinder bore surfaces. In the first algorithm, metal folds on plateau-honed surfaces are inspected with scanning electron microscopy. An edge-aware structure tensor is proposed for feature extraction and localization of surface defects. The second algorithm uses a morphgraphical method for detecting graphite grains in optical micrographs. Based on the inspection results, quality parameters are proposed.Technology: general issuesbicsscautomated vision inspectionAutomatische SichtprüfungBildverarbeitungedge detectionHonungimage processingKantendetektionmicrographMikrographhoningTechnology: general issuesWang Limengauth1353082BOOK9910688558703321Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs3220218UNINA