Multivariate analysis
Label
Multivariate analysis
Name
Multivariate analysis
Actions
Incoming Resources
- Advanced and multivariate statistical methods, practical application and interpretation, Craig A. Mertler ; Rachel Vannatta Reinhart
- Applied multi-way data analysis, Pieter M. Kroonenberg
- Applied multivariate statistical analysis, Wolfgang Härdle, Léopold Simar
- Multivariable modeling and multivariate analysis for the behavioral sciences, Brian S. Everitt
- Author cocitation analysis, quantitative methods for mapping the intellectual structure of an academic discipline, Sean Eom
- Selected contributions in data analysis and classification, Paula Brito ... [and others] editors ; with a foreword by Yves Escoufier
- Generalized linear models for bounded and limited quantitative variables, Michael Smithson, Yiyun Shou
- Lectures on Variational Analysis, by Asen L. Dontchev
- The Multivariate Normal Distribution, theory and applications, Thu Pham-Gia
- Multilevel modeling, Douglas A. Luke
- Multiple imputation in practice, with examples using IVEware, Trivellore Raghunathan, Patricia A. Berglund, Peter W. Solenberger
- Multidimensional nonlinear descriptive analysis, Shizuhiko Nishisato
- Practical multivariate analysis, Abdelmonem Afifi, Susanne May, Robin A. Donatello, Virginia A. Clark
- Introduction to power analysis, two-group studies, E.C. Hedberg
- Analyse de données, applications et méthodes pratiques, par A. Henry-Labordère
- Introduction to high-dimensional statistics, Christophe Giraud
- Constrained statistical inference, inequality, order, and shape restrictions, Mervyn J. Silvapulle, Pranab K. Sen
- Recent advances in descriptive multivariate analysis, edited by Wojtek J. Krzanowski
- The syntax of social life, the theory and method of comparative narratives, Peter Abell
- Multivariate analysis, techniques for educational and psychological research, Maurice M. Tatsuoka
- Estimating treatment effects in observational studies, properties of an estimator based on propensity scores, Nancy C. Clements
- Multivariate t distributions and their applications, Samuel Kotz, Saralees Nadarajah
- Multilevel modeling, Douglas A. Luke
- Categorical data analysis, Alan Agresti
- Introduction to multivariate analysis, Christopher Chatfield, Alexander J. Collins
- Exploratory data analysis with MATLAB, Wendy L. Martinez, Angel R. Matinez, Jeffrey L. Solka
- Multivariate statistics, exercises and solutions, Wolfgang Härdle, Zdeněk Hlávka
- Applied multivariate statistical analysis, Richard A. Johnson, Dean W. Wichern
- Marketing models, multivariate statistics and marketing analytics, Dawn Iacobucci
- Multilevel modeling using R, W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
- Making sense of multivariate data analysis, John Spicer
- Categorical longitudinal data, log-linear panel, trend, and cohort analysis, Jacques A. Hagenaars
- The multivariate normal distribution, Y.L. Tong
- LISREL approaches to interaction effects in multiple regression, James Jaccard, Choi K. Wan
- Multivariate statistical methods in behavioral research, R. Darrell Bock
- Applied multivariate statistics for the social sciences, James Stevens
- Continuous multivariate distributions, Norman L. Johnson [and] Samuel Kotz
- Advances in multivariate statistical methods, editor, Ashis SenGupta
- Survey sampling and multivariate analysis for social scientists and engineers, Peter R. Stopher, Arnim H. Meyburg
- Categorical and nonparametric data analysis, choosing the best statistical technique, E. Michael Nussbaum
- Multilevel modeling using R, W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
- Generalized least squares estimation for cointegration parameters under conditional heteroskedasticity
- Multivariate data analysis, William W. Cooley [and] Paul R. Lohnes
- Symbolic data analysis, conceptual statistics and data mining, Lynne Billard, Edwin Diday
- Discrete multivariate analysis: theory and practice, Yvonne M. M. Bishop, Stephen E. Fienberg and Paul W. Holland. With the collaboration of Richard J. Light and Frederick Mosteller
- Clustering methodology for symbolic data, Lynne Billard, Edwin Diday
- Multivariate general linear models, Richard F. Haase
- Multivariate statistics, high-dimensional and large-sample approximations, Yasunori Fujikoshi, Vladimir V. Ulyanov, Ryoichi Shimizu
- Stata multivariate statistics reference manual, release 10
- The Chicago guide to writing about multivariate analysis, Jane E. Miller
Outgoing Resources
- Focus1