LEADER 01641nam 2200385Ia 450 001 996386448403316 005 20200824132824.0 035 $a(CKB)4940000000082630 035 $a(EEBO)2240851950 035 $a(OCoLC)ocm17162921e 035 $a(OCoLC)17162921 035 $a(EXLCZ)994940000000082630 100 $a19871203d1696 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aAngelographia, or, A discourse concerning the nature and power of the holy angels$b[electronic resource] $eand the great benefit which the true fearers of God receive by their ministry : delivered in several sermons, to which is added a sermon concerning the sin and misery of the fallen angels : also A disquisition concerning angelical-apparitions /$fby Increase Mather .. 210 $aBoston in N.E. [i.e. New England] $cPrinted by B. Green & J. Allen, for Samuel Phillips ...$d1696 215 $a[18], 132, 44 p., [1] leaf of plates $cill., port 300 $a"A disquisition concerning angelical apparitions" (44 p. at end) has special t.p. 300 $aEngraved frontispiece portrait of Increase Mather. 300 $aReproduction of original in the Harvard University Library. 330 $aeebo-0062 606 $aAngels 606 $aDemonology 606 $aApparitions 615 0$aAngels. 615 0$aDemonology. 615 0$aApparitions. 700 $aMather$b Increase$f1639-1723.$0790750 801 1$bEAK 801 2$bWaOLN 906 $aBOOK 912 $a996386448403316 996 $aAngelographia, or, A discourse concerning the nature and power of the holy angels$92423936 997 $aUNISA LEADER 04509nam 22007215 450 001 9910890184903321 005 20250316192611.0 010 $a9783031638336 010 $a3031638336 024 7 $a10.1007/978-3-031-63833-6 035 $a(MiAaPQ)EBC31692674 035 $a(Au-PeEL)EBL31692674 035 $a(CKB)36231731600041 035 $a(MiAaPQ)EBC31692986 035 $a(Au-PeEL)EBL31692986 035 $a(DE-He213)978-3-031-63833-6 035 $a(OCoLC)1500761378 035 $a(EXLCZ)9936231731600041 100 $a20240929d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Multivariate Statistical Analysis /$fby Wolfgang Karl Härdle, Léopold Simar, Matthias R. Fengler 205 $a6th ed. 2024. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2024. 215 $a1 online resource (611 pages) 311 08$a9783031638329 311 08$a3031638328 327 $aPart I Descriptive Techniques -- 1 Comparison of Batches -- Part II Multivariate Random Variables -- 2 A Short Excursion into Matrix Algebra -- 3 Moving to Higher Dimensions -- 4 Multivariate Distributions -- 5 Theory of the Multinormal -- 6 Theory of Estimation -- 7 Hypothesis Testing -- Part III Multivariate Techniques -- 8 Regression Models -- 9 Variable Selection.-10 Decomposition of Data Matrices by Factors -- 11 Principal Components Analysis -- 12 Factor Analysis -- 13 Cluster Analysis -- 14 Discriminant Analysis -- 15 Correspondence Analysis -- 16 Canonical Correlation Analysis -- 17 Multidimensional Scaling -- 18 Conjoint Measurement Analysis -- 19 Applications in Finance -- 20 Computationally Intensive Techniques -- 21 Locally Linear Embedding -- 22 Stochastic Neighborhood Embedding -- 23 Uniform Manifold Approximation and Projection -- Part IV Appendix -- A Symbols and Notations -- B Data -- Index. 330 $aNow in its sixth edition, this textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. Each chapter features hands-on exercises that showcase applications across various fields of multivariate data analysis. These exercises utilize high-dimensional to ultra-high-dimensional data, reflecting real-world challenges in big data analysis. For this new edition, the book has been updated and revised and now includes new chapters on modern machine learning techniques for dimension reduction and data visualization, namely locally linear embedding, t-distributed stochastic neighborhood embedding, and uniform manifold approximation and projection, which overcome the shortcomings of traditional visualization and dimension reduction techniques. Solutions to the book?s exercises are supplemented by R and MATLAB or SAS computer code and are available online on the Quantlet and Quantinar platforms. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics - Exercises and Solutions. 606 $aStatistics 606 $aStatistics 606 $aSocial sciences$xMathematics 606 $aEconometrics 606 $aStatistical Theory and Methods 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aMathematics in Business, Economics and Finance 606 $aQuantitative Economics 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aApplied Statistics 615 0$aStatistics. 615 0$aStatistics. 615 0$aSocial sciences$xMathematics. 615 0$aEconometrics. 615 14$aStatistical Theory and Methods. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aMathematics in Business, Economics and Finance. 615 24$aQuantitative Economics. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aApplied Statistics. 676 $a519.535 700 $aHärdle$b Wolfgang Karl$0732741 701 $aSimar$b Léopold$0383823 701 $aFengler$b Matthias R$0614420 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910890184903321 996 $aApplied Multivariate Statistical Analysis$94264194 997 $aUNINA