Predictive Suite
Automated variable selection identifies key variables & variable interactions. Insightful visualization of data and model dynamics. Execution of batch commands. SQL queries and dataset browsing. Pre & post-processing for creating variables, constraining outputs, etc. Models easily deployed via ActiveX (i.e., OCX) controls or DLLs. Powerful modeling algorithms include regression, neural networks, self-organizing maps, dynamic clustering, decision trees, fuzzy logic, genetic algorithms. Predictive Dynamix provides computational intelligence software for forecasting, predictive modeling, pattern recognition, classification, and optimization applications, across all industries. Modern neural network technology are powerful computational structure for solving difficult problems involving forecasting and pattern recognition. Multi-layer perceptron neural networks have an architecture that allows multiple coefficients per input variable.
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Oriana
Oriana for Windows calculates the special forms of sample and inter-sample statistics required for circular data (e.g. angles or directions measured in degrees, time of day, day of the week, the month of the year, etc.). The analyses include basic statistics such as mean vector and confidence limits, single sample distribution tests like Rayleigh's, pairwise and multisample tests such as Watson-Williams F-Test and chi-squared test, and pairwise correlations. It also graphs your data in a variety of ways, including rose diagrams, circular histograms or wind roses, allowing you to easily demonstrate patterns. Are you working with directional data measured in degrees? Perhaps your research involves looking at patterns in the time of day of events, or things that occur in weekly, monthly or yearly cycles. These are circular data and they require special types of statistics. If you want to analyse this type of data, then Oriana is just what you need.
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NXG Logic Explorer
NXG Logic Explorer is a Windows-based machine learning package designed for data analytics, predictive analytics, unsupervised class discovery, supervised class prediction, and simulation. It enhances productivity by reducing the time required for various procedures, enabling users to identify novel patterns in exploratory datasets and perform hypothesis testing, simulations, and text mining to extract meaningful insights. Key features include automatic de-stringing of messy Excel input files, parallel feature analysis for generating summary statistics, Shapiro-Wilk tests, histograms, and count frequencies for multiple continuous and categorical variables. It allows simultaneous execution of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests on multiple variables, and automatically generates multivariable linear, logistic, and Cox proportional hazards regression models based on a default p-value criterion for filtering from univariate models.
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Cricket Statz
Cricket Statz is an online system to manage cricket stats and results for national cricket bodies, leagues, associations, clubs and even single teams. With over 120 statistics reports, it is a multi-user online service with no software, app or download required. Cricket Statz works on any internet-enabled device. Match scorecards can be entered directly or imported from a variety of sources including national bodies and scoring apps. Gather scorecards electronically via any internet-enabled pc, mac, laptop, tablet or mobile device. Either enter completed scorecards, historical summaries or live score matches with ball-by-ball commentary. Publish match results and ladders in real-time. All from a browser. True multi-user with unlimited users. No software or app to download. Produces real-time statistics and web pages for the entire league, club, teams and individual players. Supports historical data entry for summarised historical stats so you don't have to enter full scorecards.
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