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JMP Pro is software that adds advanced analytical capabilities to JMP. The statistical analysis software JMP Pro, provided by SAS, is designed for scientists and engineers, and it includes many advanced techniques in addition to the excellent features familiar in JMP, such as visual data access, data manipulation, interactive operation methods, rich analytical functions, and scalability. Furthermore, JMP Pro offers a variety of advanced tools. It includes predictive modeling with validation features using numerous different techniques, state-of-the-art modeling methods, model comparison and averaging, advanced multivariate analysis, reliability block diagrams, coverage arrays, mixed models, uplift models, and statistical methods utilizing advanced calculators. With JMP Pro, you can perform advanced and diverse analyses, helping to remove barriers that hinder statistical discoveries and uncover clues hidden in the data. This allows you to more quickly find breakthroughs to problems and anticipate and control the future.
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Free membership registrationJMP, developed by SAS, has been used as a tool for statistical discovery by scientists, engineers, and people in various industries and government sectors engaged in data exploration. JMP is a desktop software that combines dynamic data visualization with powerful statistical capabilities, processing data in-memory. With interactive and visual JMP, it is possible to gain insights that cannot be obtained from mere tables of numbers or static graphs. In JMP, graphs, statistics, and data are all linked. This allows for deeper exploration of thoughts and leads to groundbreaking discoveries. JMP enables users to perform analyses in succession while staying in the flow of analysis. You can explore while maintaining the flow of the analysis, and there is no need to re-execute commands when new questions arise. Using JMP significantly improves the efficiency of data analysis, making it easy to handle everyday tasks and complex statistical problems, while also effectively communicating the results of the analysis.
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