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Statistical Analysis Software(care) - List of Manufacturers, Suppliers, Companies and Products

Statistical Analysis Software Product List

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Multivariate Statistical Analysis Software [Vector]

Multivariate Statistical Analysis Software [Vector]

Vector is a multivariate statistical analysis software that supports various types of data! It enhances usability and enables data visualization.

"VEKTOR DIREKTOR" is a product that offers ease of use in multivariate statistical analysis software compatible with various types of data and enables data visualization. From data import to prediction and classification, this product allows for effective data analysis through an intuitive workflow. It can execute the analyzed calibration models in real-time, enabling real-time monitoring and the construction of feedback/forward control systems. With comprehensive preprocessing aimed at spectral analysis, it can be comfortably used not only for big data analysis using process parameters but also for chemometrics. By providing only the methods frequently used by customers, it allows for maximizing the use of data with the appropriate tools. 【Features】 ■ Easy data import ■ Effective visualization ■ Comprehensive data preprocessing functions ■ Diverse analysis tools *For more details, please refer to the PDF materials or feel free to contact us.

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Statistical analysis software "Minitab"

Statistical analysis software "Minitab"

Data analysis and predictive modeling! It is a statistical analysis software that enables excellent results and data-driven decision-making. A free trial is also available!

The statistical analysis software 'Minitab' is a powerful statistical tool that anyone can use. Predictive analysis utilizing advanced forecasting algorithms and tools such as CART, Random Forests, TreeNet, and MARS provides better results than conventional regression approaches. By leveraging this powerful module, you can make informed decisions based on a deep understanding of complex datasets, leading to excellent outcomes and data-driven decision-making. 【Solutions to some of these concerns】 ■ Missing data points in observational datasets weaken the statistical power derived from the data, resulting in shallow insights. ■ Common data analysis methods typically prioritize strong indicators, often overlooking valuable insights provided by less powerful indicators, which can lead to an incomplete understanding of the data. *For more details, please download the PDF or feel free to contact us.

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