JMP 9 Modeling and Multivariate Methods

JMP 9 Modeling and Multivariate Methods documents the JMP 9 statistical platforms, provides an overview of statistical methods, and describes many JMP 9 report windows and options. This book covers model fitting, 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 nets, categorical response analysis, choice modeling, discriminant analysis, recursive partitioning, time series analysis, Gaussian processes, item response theory, and more. Also included are instructions for using surface plots, profilers, and more. This title is also available online.