TY - BOOK ID - 25217685 TI - Multivariate data reduction and discrimination with SAS software AU - Khattree, Ravindra AU - Naik, Dayanand N. PY - 2000 SN - 1580256961 0471323004 9780471323006 PB - Cary: SAS institute, DB - UniCat KW - Programming KW - Mathematical statistics KW - -#PBIB:2001.1 KW - 681.3*63 KW - Computerwetenschap--?*63 KW - Multivariate analysis KW - #PBIB:2001.1 KW - Data processing KW - SAS (Computer file) KW - Statistical analysis system KW - SAS system KW - SAS (logiciel) KW - data processing KW - Data processing. KW - SAS (Computer file). KW - Multivariate analysis - data processing UR - https://www.unicat.be/uniCat?func=search&query=sysid:25217685 AB - Multivariate data commonly encountered in a variety of disciplines is easy to understand with the approaches and methods described in Multivariate Data Reduction and Discrimination with SAS(r) Software. Conceptual developments, theory, methods, and subsequent data analyses are presented systematically and in an integrated manner. Data analysis is performed using many multivariate analysis components available in SAS software. The book provides illustrations using ample numbers of real data sets drawn from a variety of fields, and special care is taken to explain the SAS programs and corresponding output. As a companion volume to their previous book, Applied Multivariate Statistics with SAS(r) Software, Second Edition, which discusses multivariate normality-based analyses, this book covers topics where, for the most part, assuming multivariate normality (or any other distributional assumption) is not crucial. As the techniques discussed in the this book also form the foundation of data mining methodology, the book will be of interest to data mining practitioners. ER -