Estadística multivariante en las ciencias de la vida
Author : José Luis Carrasco de la Peña
Publisher :
Page : 363 pages
File Size : 50,54 MB
Release : 1993-10-01
Category :
ISBN : 9788486204549
Author : José Luis Carrasco de la Peña
Publisher :
Page : 363 pages
File Size : 50,54 MB
Release : 1993-10-01
Category :
ISBN : 9788486204549
Author : Rafael Álvarez Cáceres
Publisher :
Page : 389 pages
File Size : 16,98 MB
Release : 1995
Category : Multivariate analysis
ISBN :
Author : Mitchell H. Katz
Publisher : Cambridge University Press
Page : 199 pages
File Size : 50,14 MB
Release : 2006-02-06
Category : Mathematics
ISBN : 0521840511
How to perform and interpret multivariable analysis, using plain language rather than complex derivations.
Author : K V S Sarma
Publisher : CRC Press
Page : 242 pages
File Size : 27,66 MB
Release : 2018-11-19
Category : Mathematics
ISBN : 0429877870
This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. The illustrations are based on real case studies from a super specialty hospital where active research is going on.
Author : V.I. Serdobolskii
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 24,92 MB
Release : 2013-03-09
Category : Mathematics
ISBN : 9401594686
Multivariate Statistical Analysis
Author : Abdelmonem Afifi
Publisher : CRC Press
Page : 540 pages
File Size : 24,21 MB
Release : 2011-07-05
Category : Mathematics
ISBN : 1439816808
This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical analyses and understand the results. For each of the techniques presented in this edition, the authors use the most recent software versions available and discuss the most modern ways of performing the analysis. New to the Fifth Edition Chapter on regression of correlated outcomes resulting from clustered or longitudinal samples Reorganization of the chapter on data analysis preparation to reflect current software packages Use of R statistical software Updated and reorganized references and summary tables Additional end-of-chapter problems and data sets The first part of the book provides examples of studies requiring multivariate analysis techniques; discusses characterizing data for analysis, computer programs, data entry, data management, data clean-up, missing values, and transformations; and presents a rough guide to assist in choosing the appropriate multivariate analysis. The second part examines outliers and diagnostics in simple linear regression and looks at how multiple linear regression is employed in practice and as a foundation for understanding a variety of concepts. The final part deals with the core of multivariate analysis, covering canonical correlation, discriminant, logistic regression, survival, principal components, factor, cluster, and log-linear analyses. While the text focuses on the use of R, S-PLUS, SAS, SPSS, Stata, and STATISTICA, other software packages can also be used since the output of most standard statistical programs is explained. Data sets and code are available for download from the book’s web page and CRC Press Online.
Author : Bryan F.J. Manly
Publisher : CRC Press
Page : 238 pages
File Size : 48,68 MB
Release : 1994-07-01
Category : Mathematics
ISBN : 9780412603006
The purpose of this book is to introduce multivariate statistical methods to non-mathematicians. It is not intended to be comprehensive. Rather, the intention is to keep the details to a minimum while still conveying a good idea of what can be done. In other words, it is a book to 'get you going' in a particular area of statistical methods. This second edition has retained all of Professor Manly's crystal clear style. It is based on a course that has been taught successfully at the University of Otago for a number of years but has increased coverage on measuring distances between cases based on presence-absence data, a new selection on logistic regression, new exercises and two completely new chapters on graphical methods and ordination. The author has taken into account the major shift in the way in which computer software is used, but the emphasis is on the underlying principles rather than the use of particular programs.
Author : Abdelmonem Afifi
Publisher : CRC Press
Page : 528 pages
File Size : 17,69 MB
Release : 2019-10-16
Category : Mathematics
ISBN : 1351788906
This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. Key Features: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computing, and exercises. Updated with a new chapter on data visualization.
Author : Jianqing Fan
Publisher : World Scientific
Page : 469 pages
File Size : 21,72 MB
Release : 2005-03-22
Category : Mathematics
ISBN : 9814481203
This book furthers new and exciting developments in experimental designs, multivariate analysis, biostatistics, model selection and related subjects. It features articles contributed by many prominent and active figures in their fields. These articles cover a wide array of important issues in modern statistical theory, methods and their applications. Distinctive features of the collections of articles are their coherence and advance in knowledge discoveries.
Author : Thomas Holgersson
Publisher : Springer Nature
Page : 377 pages
File Size : 40,57 MB
Release : 2020-09-17
Category : Mathematics
ISBN : 3030567737
This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis, goodness-of-fit measures, variable selection and information criteria, inference of covariance structures, the Wishart distribution and growth curve models.