Maths and Stats / ActiveX DLL (In-process ActiveX Components)

Add advanced statistical analysis to your Visual Basic applications. Total VB Statistics allows VB developers to integrate advanced data analysis directly into any VB project, eliminating the need to import/export data to other programs or write complex statistical formulas. Functions include percentiles, t-Tests, frequency distributions, regressions, correlations, ANOVA, non-parametrics, probability and more. All results are placed in tables that you can query, sort, analyze, or add to forms and reports. Includes a royalty-free statistics DLL that you can distribute.

Add refined numerical procedures to either construct a function of one or two variables from a set of points (i.e. interpolate), or solve an equation of one variable; to your .NET, COM, and XML Web service Applications. WebCab Functions for .NET includes interpolation procedures covering Newton polynomials, Lagrange's formula, Burlisch-Stoer algorithm, Cubic splines (natural and free), Bicubic interpolation and procedures for find the interpolation functions coefficients. In order to solve an equation we provide the Van Wijngaarden-Dekker-Brent algorithm, interval bisection method, secant and false position, Newton-Raphson method and Ridders' method.

Add refined procedures for solving and performing sensitivity analysis on uni and multi dimensional, local or global optimization problems which may or may not have constraints; to your .NET, COM and XML Web service Applications. WebCab Optimization for .NET includes Specialized Simplex Linear programming algorithm, including sensitivity analysis with respect to object functions coefficients or linear boundaries using a duality or direct approach.

Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications. WebCab Probability and Statistics for .NET consists of 5 main modules. The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. The Standard Probability Distributions Module assists in the development of server-side applications that incorporate the Binomial, Poisson, Normal, Lognormal and Pareto probability distributions. The Confidence Intervals and Hypothesis Testing Module presents two aspects of inferential statistics known as confidence intervals and hypothesis testing.

Enable advanced calculations in your accounting or spreadsheet application. InaCalc supports conventional math operators and functions and is suitable for heavy-duty number crunching. It also supports other data types, such as string, date-time, logical, and operators and functions for these data types. It allows defining variables and sets of related formulas that implement spreadsheet-like recalculations.