JMP 10 Modeling and Multivariate Methods

JMP 10 Modeling and Multivariate Methods documents the JMP 10 statistical platforms, provides an overview of statistical methods, and describes many JMP 10 report windows and options. This book covers model fitting and comparisons, standard least squares, generalized linear models, stepwise and logistic regression, nonlinear regression, multiple response fitting, analyzing screening designs, correlations and multivariate techniques, principal components, clustering, partial least squares, neural networks, categorical response analysis, choice modeling, discriminant analysis, recursive partitioning, time series analysis, Gaussian processes, and item response theory. Also included are instructions for using surface plots, profilers, and more. This title is also available online.