EZ-R Stats for Windows is an effective, economical solution
providing the Researcher, Analyst or IS Auditor a variety of analyses such as Benford,
outlier, statistics, and other tools for both audit, analysis and fraud. EZ-R Stats for Windows is an audit software tool for the auditor which can be
used for fraud detection Some of the key tools include testing conformity
with Benford's law in order to identify unusual data distributions, procedures
EZ-R Excel is an effective, economical solution
providing the Researcher, Analyst or IS Auditor a variety of analyses such as testing conformity with Benford's Law , outliers, statistics, and tools for both audit, analysis and fraud. The function of the program is to make statistical analysis easier, hence the name (“Easier Excel”). The routine facilitates and supports data analysis by providing numerous tools and charts, leveraging the facilities within MS-Excel.EZ-R Excel ...
providing the Researcher, Analyst or IS Auditor a variety of analyses such as testing conformity with Benford's Law , outliers, statistics, and tools for both audit, analysis and fraud. Excel addin to provide statistical analysis. The routine facilitates and supports data analysis by providing numerous tools and charts, leveraging the facilities within MS-Excel.EZ-R Excel has been tested with Excel 2003 and Windows XP. This routine ...
There is also an outlier test implemented. With the Geoid-Modul (e.g. EGM2008, GEOID09) the user can calculate orthometric heights from GPS-heights.
Highly optimized correlation using the FFTW library
Multi-pass, multi-grid, discrete window offset and image deformation algorithms
Multiple peak detection capability
outlier detection and replacement
Statistics calculation (averages and fluctuations)
Robust batch processing support
Direct export capability to Tecplot-compatible ...
+eTE visualization: false color representation with different types of mapping
+eTE shaded, logarithmical, gradient- and edge-detected, local contrast representation, Canny lines
+eTE OpenGL 3D data display: false color or material representation
+eTE easily editable color maps and OpenGL materials
+eTE basic operations: rotation, flipping, inversion, data arithmetic, crop, resampling
+eTE leveling: plane leveling, profiles leveling, three-point leveling, facet leveling, polynomial background removal, leveling along user-defined lines
+eTE value reading, distance and angle measurement
+eTE profiles: profile extraction, measuring distances in profile graph, profile export
+eTE filtering: mean, median, conservative denoise, Kuwahara, minimum, maximum, checker pattern removal
+eTE general convolution filter with user-defined kernel
+eTE statistical functions: Ra, RMS, projected and surface area, inclination, histograms, 1D and 2D correlation functions, PSDF, 1D and 2D angular distributions, Minkowski functionals, facet orientation analysis
+eTE statistical quantities calculated from area under arbitrary mask
+eTE row/column statistical quantities plots
+eTE ISO roughness parameter evaluation
+eTE grains: threshold marking and unmarking, watershed marking
+eTE grain statistics: overall and distributions of size, height, area, volume, boundary length, bounding dimensions
+eTE intergral transforms: 2D FFT, 2D continuous wavelet transform (CWT), 2D discrete wavelet transform (DWT), wavelet anisotropy detection
+eTE fractal dimension analysis
+eTE data correction: spot remove, outlier marking, ...
- outlier exclusion minimizes labor and removes subjective bias.
- Can be used for secondary in-vitro screening of purified enzymes, or in cell-based assays.
- Summary output file can be imported into Excel and/or corporate databases.
· Automatic model selection in fitting the reaction progress curves (straight line, quadratic parabola, first or second degree exponential).
· Automatic initial estimate of the inhibition ...
It also supports outlier rejection and is accelerated by the use of kd trees as well as a coarse matching stage using only a subset of all points.
The application merges the DFDIST kernel, a widely used Fst-outlier method to detect selection with an intelligent, easy to use interface.