Thesis and Esbstats - Statistical Analysis Software for Windows

AMPHIOTIK SYNTHESIS
$249 - HOLISTIKS

AMPHIOTIK SYNTHESIS is a powerful audio mixing and mastering system for professionals. It includes Stereo Panning and Binaural Synthesis, a 3D-Audio system based on HRTF, for the generation of binaural signals. It includes transaural audio (cross-talk cancellation), refelections modelling, reverberation, post equalization and more.

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Mopis
$50 - Nethernet Corp

Mopis is a high-quality semi-modular software synthesizer that combines traditional subtractive synthesis with sample resynthesis. Subtractive synthesis creates the same sounds that analog synths have used for years, using basic waveforms-- sawtooth, square, triangle, and sine waves-- which are processed by filters. The filter options include a warm, non-linear, analog-style filter, so you can get your favorite analog synth sounds out of Mopis. Our sample resynthesis engine adds a new dimension to your creations. Mopis can analyze your audio sample and create an oscillator that mimics the sample's properties. You can then play the sample back and bend it to your will. Plus you can control any parameter through the modular assign table for complex, evolving sounds. Here's some of what Mopis helps you do: adjust the pitch of a sample without changing its speed; adjust the speed without changing the pitch; move freely back and forth through a sample; loop samples quickly; adjust loop points on the fly; freeze a sample and turn it into a steady-state oscillator. Other features: 128 diverse preset instruments; up to 32-voice polyphony; up to six-voice unison; sync sample playback to host tempo; two oscillators per voice; five filter types; three tempo-syncable LFOs; delay and cross delay effects; semi-modular assign table; loads WAV or AIFF samples; low CPU usage; VSTi or AU plug-in; runs under both Windows (2000/XP) and Mac OS X.

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ESBStats - Statistical Analysis Software
$79 - ESB Consultancy

Statistical Analysis and Inference Software for Windows covering everything from Average, Mode and Variance through to Hypothesis Analysis, Time Series and Linear Regression. Includes Online Help, Tutorials, Graphs, Summaries, Import/Export, Customisable Interface, Calculator, Live Spell Check, Install/Uninstall and much more.

- Single, Dual (paired and unpaired) and Multiple Data Analysis (Multivariate analysis not in Lite Version).
- Data can be either for Sample or Population.
- Data can be Time Based for Time Series Analysis.
- Data can be entered as Raw Data, Grouped Data, or as Summary Data.
- Raw Data can be converted into Grouped Data.
- Raw Data can have in-built Transformations applied to them.
- Raw Data can have Random values meeting user defined criteria.
- Data can be fully documented and stored in DataLists.
- Standardisation of Data around given mean/standard deviation.
- DataLists are grouped together in Workbooks - one Workbook is opened at a time and can contain many DataLists.
- Sample Size calculations.
- Random Value Lists for Sampling.
- Statistical Summary including: mean, median, mode, variance, standard deviation, kurtosis, skew, etc.
- Comparison of Statistics for Raw and Grouped of the same Data.
- Graphs and Charts including: Histograms, Line Graphs, Pie Graphs, Ogives, Scatter Diagrams, Rootograms, Bar Charts and more.
- Inference and Hypothesis Analysis of a Single Population - including the Mean, the Variance and Proportions.
- Inference and Hypothesis Analysis of Two Populations - including Difference of the Mean, Ratio of the Variance, Difference of Proportions.
- Analysis of Variance (ANOVA) (not in Lite Version).
- Linear Regression with Transformations of the dependent variable.
- Multiple Regression with Transformations of the dependent variables (not in Lite Version).
- Moving Averages.
- Trend Analysis of Time Series Data.
PLUS MORE.

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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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