Tuesday, August 12, 2008

File Extension JBD

File Extension Name: JBD

File Extension Description: The .jbd file extension is associated with the SigmaScan Data files. The JBD file extension is a statistics and analytical graphics tool. The SigmaScan’s SYSTAT is capable of carrying out all sorts of statistical analytical procedures on the users data.

Although JBD files can accomplish procedures based on advanced algorithms, novice statistical user can feel at ease with the simple menu-dialog. Analysis can be done step by step to make sure that nothing will be missed. The intuitive command language designed for advanced operators can do accelerated data analysis.

The range of techniques for analyzing numerous varieties of data to arrive to useful answers is very wide. Comprehensive statistical analysis of uni- and/or multivariate data based on linear, general linear, and mixed linear models can be carried out. Even when the data are not suitable for conventional multiple regression analysis, deferent types of regression analysis based on the data at hand is still possible. With this, you can also compute partial least-squares regression.

The list below includes several of the many capabilities of SYSTAT:
· Path Analysis
· Cluster Analysis
· Response Surface Optimization
· Test Item Analysis
· Spatial Statistics
· Time Series
· Survival Analysis
· Correspondence Analysis
· Classification and Regression Trees
· Multidimensional Scaling
· Quality Analysis
· Conjoint Analysis
· Matrix computations
· Power analysis
· Probability calculations

The Monte Carlo module of SYSTAT can carry out simulation tasks. The Mersenne-Twister random number generator of this module is used for bootstrap and simulation tasks (up to 43 uni- and multivariate, discrete and continuous distributions for your Monte Carlo exercises). For more complicated distributions use the Rejection Sampling and Adaptive Rejection Sampling to draw random samples. Use the generic Markov chain Monte Carlo (MCMC) procedures like various types of Metropolis-Hastings and Gibbs Sampling features to draw random samples and to carry out Monte Carlo integration for Bayesian computations.

Results of statistical analysis can now be presented in deferent forms of scientific and technical graphs. The graphical presentation is interactive. An integrated dialog box coordinates things like comparing subgroups, overlaying charts, and transforming coordinates. Graphs can be created in such a way that important features can be emphasized. Example of doing this is by using the “scatter plot” matrices or rotating the 3-D graphs for better visual impact.

Author: Systat Software Inc.

Author URL: http://www.systat.com/

Associated Applications: SYSTAT

Common Path: N/A

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