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- Packt Publishing 2014; US$ 29.99
This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as... more...
- Taylor and Francis 2014; US$ 79.95
Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the adequacy of a model as a whole, compare a model to... more...
- Taylor and Francis 2014; US$ 54.95
Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of... more...
- Taylor and Francis 2014; US$ 89.95
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also... more...
- Business Expert Press 2014; US$ 29.95
This book is a concise and innovative book that gives a complete presentation of the design and analysis of experiments in approximately one half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course, this text is appropriate for the widest possible audience. Two procedures are generally used to... more...
- De Gruyter 2014; US$ 560.00
This work provides a basic introduction to modeling using structural equations, including a broad survey of potential areas of application. It shows how one can perform relevant analyses of empirical data using widely disseminated modeling programs. This textbook is designed for use in advanced courses in statistics and multivariate analytic... more...
- Taylor and Francis 2014; US$ 79.95
A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses.... more...
- Wiley 2014; US$ 110.00
This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors : Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to... more...
- SAGE Publications 2014; US$ 75.00
Covering both general and advanced aspects of multivariate methods, this handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis and provides readers with an introduction to and exploration of a large range of techniques. more...
- Wiley 2014; US$ 105.00
This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency.... more...