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XLSTAT-Pro is the analytical add-in for MS Excel and includes many statistical and data analysis functions, including forecasting methods
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XLSTAT-MX is a dedicated statistical software solution for Market Research analysis. It is a must have complement for XLSTAT-Pro users who deal with sensory data analysis, and use Preference Mapping, Penalty analysis or other related analytical techniques to give insights into customers' behavior in order to identify directions for product improvement.
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XLSTAT is the leading data analysis and statistical solution for Microsoft Excel. The XLSTAT statistical analysis add-in offers a wide variety of functions to enhance the analytical capabilities of Excel, making it the ideal tool for your everyday data analysis and statistics requirements.
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XLSTAT-Dose is a statistical program which analyzes MS Excel add-in, that has been developed for dose analysis in the chemical and pharmaceutical industries. The programs main features are dose effect analysis including a large variety of model options (Logit, Probit, Gompertz, Log-log) and four-parameter logistic regression which enables fitting models of the type a-(d-a)/(1+(x/c)^b).
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XLSTAT-Time is a powerful statistical software solution for time series analysis and forecasting.
XLSTAT-Time functions provide you with outstanding tools to find out the degree of dependence between the values of a time series, to discover trends - seasonal or not, to apply specific pretreatments such as the Autoregressive Moving Average variants and finally to build predictive models.
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XLSTAT-SPC is a statistical program for Statistical Process Control (SPC). This analytical software solution is the ideal module for companies who apply Six Sigma methods to control and improve the quality of their production or sales processes.
XLSTAT-SPC is an analytical control chart and an Measurement System Analysis (MSA) tool.
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XLSTAT-Life is a statistical program for survival analysis and life table analysis. This analytical software solution provides leading-edge methods such as survival analysis using Kaplan-Meier analysis. Moreover it takes competing risks into account with cumulative incidence.
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