Statistical Design and Data Analysis

Seicomb provides support for the statistical and spectral analysis of data which derive from varied fields of activity e.g. large sets of experimental data, energy use surveys, geostatistical data etc.

Specific capabilities for experimental design and data analysis include:

• Factorial design for the identification of significant process parameters
• Student’s t-, chi-squared and F-tests
• Least squares treatments for curve fitting and data analysis
• Multiple regression analysis (ANOVA)
• Fourier analysis of complex waveforms
• Spectral analysis of data sets
• Fast Fourier transform techniques
• Graphical representation of data
• Presentation graphics for business sessions