Analysis of Variance, Cluster Analysis, Contingency Tables, Correlation (Simple, Partial, Multiple and Canonical), Linear and Circular Descriptive Statistics, Classification and Grouping Discriminant Analysis, Factor Analysis, Goodness of Fit Tests such as Binomial, Circular, Normal and Poisson, Simple and Multiple Linear Regression, Regression Comparison, Nonparametric Tests such as Friedman, Kruskal-Wallis and Mann-Whitney, Principal Component

contingency tables, goodness of fit, analysis of variance, statistics, add in, discriminant analysis, t test, microsoft excel, data analysis, factor analysis, correlation, software, cluster analysis

The CatMV program is a realization of the "Caterpillar"-SSA method for analysis of time series, which may contain missing values. The implemented algorithms result in extraction of additive components of time series such as trends and periodic components, with simultaneous filling in the missing data (if any). The program is able to perform forecasting if to add missing values after the last point of the time series.

missing values, statistics, forecasting, missing data, decomposition, reconstruction, singular spectrum analysis, principal component, periodicities, analysis, forecast, seasonalities, software

The Unscrambler® helps you discover patterns and relationships in your data that traditional statistical methods and visual inspection cannot reveal. The Unscrambler`s Multivariate Curve Resolution (MCR), Derivatives, Principal Components Analysis (PCA), PLSR Analysis, and Experimental Design capabilities are unparalleled. Readers of Scientific Computing cited it as one of the Top Five products in terms of ease of use and visualization.

statistics, statistical, data analysis, operations management, design of experiments, spectroscopy, plsr, multivariate, statistical process control, chemometrics, regression analysis, multivariate curve resolution

The program is based on the powerful model-free method of time series analysis Caterpillar-SSA (Singular Spectrum Analysis). The result of the Caterpillar-SSA processing is identification, analysis and forecast of additive components of time series (trends, periodicities, noise). The program can be applied to multivariate analysis/forecasting and change-point detection.

spectrum, value, principal, statistics, time, decomposition, reconstruction, periodicities, analysis, series, forecast, seasonalities, software

XLSTAT is a complete analysis and statistics add-in for MS Excel. It includes regression (linear, logistic, nonlinear), multivariate data analysis (PCA, DA, CA, MCA, MDS), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA and much more. Complementary modules are available for 3D visualization, Preference Mapping, Time series analysis.

parametric, anova, principal components, modeling, ancova, non parametric, statistics, simulations, descriptive statistics, regression, add in, data analysis, distribution

component comes close to the flexibility and completeness of StockChartX V.5 Pro. Modulus Financial Engineering does one thing and does it right... we do financial software engineering only! What this means is that you will find features built right into StockChartX that you will not find in any other charting component, guaranteed. Features that are specific to financial applications. Finally, a charting component designed BY traders, FOR traders

software development, chart, commodities, windows, components, stocks, stock chart, libraries, financial chart, trading chart, candle charting, charting, stock charting