Monthly Archives: December 2006

About 30 years or so ago a modeling framework known as Structural Equation Models(SEM) became known for its ability to generalize and model observable and unobservable(latent) variables and to include specifications about multiple sources of variation. Early on Mplus was … Continue reading →

JMP use to be a SAS Institute data analysis product for the Apple platform. This allowed SAS to leverage its vast array of statistical software available across many other platforms. Over the years the vendor added Windows/Intel machines. Now a … Continue reading →

NAG is well known for providing numerical subroutines for scientific computing tasks for years. Statistical and visualization software components are also available. Recently an Excel add-in option providing 76 statistical functions is available for those that mosly use Excel as … Continue reading →

The TISEAN software package is a collection of command line utilities addressing methods of nonlinear time series analysis. These are based on the paradigm of deterministic chaos. A variety of algorithms for data representation, prediction, noise reduction, dimension and Lyapunov … Continue reading →

StatXact software is a suite of statistical tools that provide exact inference in the nonparametric statistical inference setting. StatXact has a large number of statistical procedures addressing one, two or K-sample problems, problems involving contingency tables, measures of association and … Continue reading →

Change point problems can be found in many areas of science and engineering. The solutions vary according to the modeling setting. A search of the literature will reveal the large scope of solutions and settings. A shareware software option addressing … Continue reading →

WiSP is an R library of functions designed as a teaching tool to illustrate methods used to estimate the abundance of closed animal populations. It enables users to generate animal populations having realistically complex spatial and individual characteristics, to generate … Continue reading →

Missing data problems and variance estimation in complex surveys is a standing problem facing most large scale surveys. IVEware was developed by the Survey Methodology Program at the University of Michigan’s Survey Research Center, Institute for Social Research and is … Continue reading →

XploRe is a combination of classical and modern statistical procedures, in conjunction with sophisticated, interactive graphics. XploRe is the basis for statistical analysis, research, and teaching. Its purpose lies in the exploration and analysis of data, as well as in … Continue reading →

High dimensional data presents potential problems to standard modeling and estimation tasks commonly confronted by the data analyst. Most methods in most statistical packages do not address these issues. Robust estimation theory over the last 40 years has changed the … Continue reading →