SPC for Excel
SPC for Excel pioneered accessible, affordable Statistical Process Control inside Excel, and has grown into a professional-grade solution trusted by quality practitioners worldwide. Built for quality engineers, quality managers, and Lean Six Sigma practitioners, it pairs the familiarity of Excel with the analytical depth professionals rely on every day. Trusted by 100,000+ professionals in over 80 countries since 1995.
The software includes:
• Process Capability Analysis — to meet customer requirements
• Control Charts and Histograms — to manage and monitor processes
• Gage R&R — to validate the measurement system
• Problem-Solving Tools (Pareto, scatter, and more) — to support team problem-solving
• Advanced Analysis (DOE, ANOVA, regression, hypothesis testing) — for advanced analytical needs
A one-time, perpetual license — no annual or maintenance fees, with installation on two computers per user.
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NLREG
NLREG is a powerful statistical analysis program that performs linear and nonlinear regression analysis, surface and curve fitting. NLREG determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. NLREG can handle linear, polynomial, exponential, logistic, periodic, and general nonlinear functions. Unlike many "nonlinear" regression programs that can only handle a limited set of function forms, NLREG can handle essentially any function whose form you can specify algebraically. NLREG features a full programming language with a syntax similar to C for specifying the function that is to be fitted to the data. This allows you to compute intermediate work variables, use conditionals, and even iterate in loops. With NLREG it is easy to construct piecewise functions that change form over different domains. Since the NLREG language includes arrays, you can even use tabular look-up methods to define the function.
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QMSys GUM
The QMSys GUM Software is suitable for the analysis of the uncertainty of physical measurements, chemical analyses and calibrations. The software uses three different methods to calculate the measurement uncertainty. GUF Method for linear models, this method is applied to linear and quasi-linear models and corresponds to the GUM Uncertainty Framework. The software calculates the partial derivatives (the first term of a Taylor series) to determine the sensitivity coefficients of the equivalent linear model and then calculates the combined standard uncertainty in accordance with the Gaussian error propagation law. GUF Method for nonlinear models, this method is provided for nonlinear models with the symmetric distribution of the result quantities. In this method, a series of numerical methods are used, e.g. nonlinear sensitivity analysis, second and third-order sensitivity indices, quasi-Monte Carlo with Sobol sequences.
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Statistix
lf you have data to analyze—but you're a researcher, not a statistician—Statistix is designed for you. You'll be up and running in minutes—without programming or using the manual! This easy to learn and simple to use software saves you valuable time and money. Statistix combines all the basic and advanced statistics and powerful data manipulation tools you need in a single, inexpensive package. Statistix offers powerful data manipulation tools, import/export support for Excel and text files, linear models (including linear regression, logistic regression, Poisson regression, and ANOVA), nonlinear regression, nonparametric tests, time series, association tests, survival analysis, quality control, power analysis, and more.
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