Rtos and Lad Software for Windows

SLGallery
$0 - Stochastic Lab

Computers, the restless machines with unprecedented precision are helpers to human beings at many tasks, these days. Almost any challenge involving heavy-calculation from predicting population growth to modeling complex space objects requires computing power of today.
Math software is still the ?king of software products? as it allows for calculations required in any aspect of modern life. However, often math software is bulky, overloaded with useless ?features? and requires reading 300-pages manual before attempting to use it.
Introducing SLGallery, the unique probability distribution calculation toolbox intended to bring straightforward and easy-to-use approach to math software!
SLGallery is an innovative product allowing mathematicians, economists, financial analytics, ? virtually anyone who is into serious calculation and prediction of probabilities perform any related task fast and easy!
The product features 11 continuous and 4 discrete functions. With SLGallery it is possible to plot graphs and find values for probability density (PDF), cumulative distribution (CDF), survival and Hazard functions. Major distribution characteristics such as math ?Mean?, standard deviation, coefficient of variation, Skewness and Kurtosis can be calculated as well as fractal value of a distribution function based on given probability.
SLGallery calculates new values and plots graphs immediately after you change an argument allowing for dynamic representation of probability distribution, saving precious time and providing accurate data for analysis.
Ease of use and comprehensive help system along with complete automation and precision calculations make this product a must-try for anyone who is into serious analytical reckoning!
Today, you have the chance to download for FREE version of SLGallery and try it yourself. It takes to ensure you get the impression of this innovative analytical tool!

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WebCab Probability and Stat (J2EE Ed.)
$249 - WebCab Components

EJB Suite offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression.

Statistics Module
The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation.

Discrete Probability Module
The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and variance of a distribution, expected values, covariance and simplification of expressions involving random variables.

Correlation and Regression Module
Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.

Standard Probability Distributions Module
This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly generate numbers from a given distribution.

Curve Fitting Module
The Curve Fitting module offers procedures by which linear and non-linear functions can be fitted in accordance with the least squares approach to a given data set which may or may not exhibit measurement errors. We also include functionality which performs ANNOVA type analysis including goodness-of-fit measures such as the R-Squared measure and T-Test statistic.

Confidence Intervals and Hypothesis Testing Module
Within this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing.

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WebCab Probability and Stat (J2SE Ed.)
$199 - WebCab Components

Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression.

Statistics Module
The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation.

Discrete Probability Module
The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and variance of a distribution, expected values, covariance and simplification of expressions involving random variables.

Correlation and Regression Module
Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.

Standard Probability Distributions Module
This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly generate numbers from a given distribution.

Curve Fitting Module
The Curve Fitting module offers procedures by which linear and non-linear functions can be fitted in accordance with the least squares approach to a given data set which may or may not exhibit measurement errors. We also include functionality which performs ANNOVA type analysis including goodness-of-fit measures such as the R-Squared measure and T-Test statistic.

Confidence Intervals and Hypothesis Testing Module
Within this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing.

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WebCab Probability and Stat for .NET
$179 - WebCab Components

Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.

Statistics Module
Incorporates topic from data presentation (incl. standard, relative and cumulative frequency tables), Basic Statistics (incl. measure of centrality, dispersion and relative location) and Grouped Data (incl. Sample Mean, Variance and Standard Deviation

Discrete Probability Module
Encapsulates the probabilistic study of finite set of events (i.e. discrete probability) and experiments with a finite number of outcomes (i.e. discrete random variables). Including: probability measures, union/intersection law, conditionals/complementary probability; cumulative distribution functions, mean/variance/expected return of Random Variable.

Correlation and Regression Module
Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.

Standard Probability Distributions Module
This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric,Weibull and Exponential probability distributions. The PDF, CPDF and inverse, mean, variance, Skewness and Kurtosis, random number generators are implemented where appropriate and/or their approximations.

Curve Fitting Module The Curve Fitting module offers procedures by which linear and non-linear functions can be fitted in accordance with the least squares approach to a given data set which may or may not exhibit measurement errors. We also include functionality which performs ANNOVA type analysis including goodness-of-fit measures such as the R-Squared measure and T-Test statistic.

Confidence Intervals and Hypothesis Testing Module
Presents two aspects of inferential statistics known as confidence intervals and hypothesis testing.

This product also has the following technology aspects:

3-in-1: .NET, COM, and XML Web services - 3 DLLs, 3 API Docs,...
Extensive Client Examples (C#, VB, C++,...)
ADO Mediator
Compatible Containers (VS, VS.NET, Office, C++Builder, Delphi)

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WebCab Probability and Stat for Delphi
$179 - WebCab Components Limited

Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.

Statistics Module
Incorporates topic from data presentation (incl. standard, relative and cumulative frequency tables), Basic Statistics (incl. measure of centrality, dispersion and relative location) and Grouped Data (incl. Sample Mean, Variance and Standard Deviation

Discrete Probability Module
Encapsulates the probabilistic study of finite set of events (i.e. discrete probability) and experiments with a finite number of outcomes (i.e. discrete random variables). Including: probability measures, union/intersection law, conditionals/complementary probability; cumulative distribution functions, mean/variance/expected return of Random Variable.

Correlation and Regression Module
Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.

Standard Probability Distributions Module
This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric,Weibull and Exponential probability distributions. The PDF, CPDF and inverse, mean, variance, Skewness and Kurtosis, random number generators are implemented where appropriate and/or their approximations.

Curve Fitting Module
The Curve Fitting module offers procedures by which linear and non-linear functions can be fitted in accordance with the least squares approach to a given data set which may or may not exhibit measurement errors. We also include functionality which performs ANNOVA type analysis including goodness-of-fit measures such as the R-Squared measure and T-Test statistic.

Confidence Intervals and Hypothesis Testing Module
Presents two aspects of inferential statistics known as confidence intervals and hypothesis testing.

This product also has the following technology aspects:

3-in-1: .NET, COM, and XML Web services - 3 DLLs, 3 API Docs,...
Extensive Client Examples (Delphi, C#, VB.NET)
ADO Mediator
Compatible Containers (Delphi 3-8 & 2005, C++Builder, Office)

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Bersoft Image Measurement
$399 - Bersoft

Bersoft Image Measurement (BIM) is designed as a flexible tool for acquiring, measuring and analyzing digital images. The measurements may be done by pointing and clicking or in an automated way, when doing statistical or analytical measurements. BIM can load many different types of images, including DICOM files, and also supports image acquisition from most TWAIN scanners. Angle, distance, perimeter, area, point and line measurements may be done using by using the tools in the Tools Palette. Spatial calibration is available to provide real world dimensional measurements such as kilometers, centimeters, millimeters, nanometers, microns, cm, miles, etc,. for both linear and The measurements are drawn over a measurement layer, so the original image is not altered in any way.
For convenient further statistical analysis the measurements can be exported as CVS, HTML, DOC or ASCII file formats. They also can be send directly to Excel or copied and pasted to any other program.
The professional version of the program supports further image analysis capabilities as: Curve fitting, Pixel profile, Array/band analysis, Object counting.
Statistical measurement can be done either on a selected image area, the full image, or on several images at once.
Count, mean, median, minimum, maximum, range, variance, standard deviation, standard error, coefficient of variation, skew, kurtosis and frequencies are supported.
Images can be visualized in different ways, using histograms (from images or selections), generating false color images, subtracting image backgrounds, merging images, adjusting brightness, gamma and contrast, inverting image colors, manipulating channels, applying spatial convolutions with user-defined convolution masks and morphing filters.

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