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JMP Pro

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last updated:Apr 20, 2026

SAS Institute Japan JMP Japan Division
SAS Institute Japan JMP Japan Division
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Sophisticated methods for conducting advanced analysis.

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 includes familiar excellent features such as visual data access, data manipulation, interactive operation methods, a wealth of analytical functions, and scalability, along with numerous advanced techniques. Furthermore, JMP Pro offers a variety of advanced tools. It includes predictive modeling with validation features using various different methods, state-of-the-art modeling techniques, 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 sophisticated and diverse analyses, helping to remove barriers that hinder statistical discoveries and uncover clues hidden in the data. This enables you to more quickly find breakthroughs in problems and anticipate and control the future.

    Production Management SystemProcess Control SystemBusiness Intelligence and Data Analysis
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JMP Pro

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Main Features of JMP Pro ■ Predictive Modeling and Cross-Validation: Effectively build and validate models ■ Model Comparison: Determine the best model for the problem at hand ■ Formula Depot and Score Code: Organize models in the formula depot and save model score codes ■ Connection to SAS: Access the SAS system and integrate data ■ Cutting-Edge Modeling: Build excellent models even with complex data ■ Reliability Block Diagram: Fix system vulnerabilities and avoid future failures ■ Simulating Repairable Systems: Simulate repair events to understand downtime, repair frequency, and costs ■ Coverage Arrays: Plan experiments to maximize defect discovery rates while minimizing costs and time ■ Mixture Models: Analyze time and space-related data when multiple subjects are measured or variable groups are correlated ■ Uplift Models: Predict customer segments likely to respond to certain actions for targeted marketing ■ Advanced Computational Techniques: Exact tests, nonparametric exact tests, bootstrap methods ■ Sharing Results: Share results through videos, 3D graphs, and interactive reports

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JMP Pro Applicable Fields (Example) ■ Customer Relationship Management (CRM) - Preventing service cancellations - Proposing cross-sell & upsell opportunities - Customer segmentation ■ Manufacturing - Improving manufacturing processes - Enhancing product reliability/quality ■ Pharmaceuticals - Screening lead compounds - Improving quality in pharmaceutical processes ■ Banking and Insurance - Credit risk management - Fraud prevention ■ Healthcare - Predicting treatment effects - Disease diagnosis

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Example of building a classification model for food identification using spectral data with the statistical analysis software JMP Pro.

Example of building a classification model for food identification using spectral data with the statistical analysis software JMP Pro.

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Bayesian optimization is not just about "a small number of experiments" – understanding its strengths through a comparison with experimental design methods.

Bayesian optimization is not just about "a small number of experiments" – understanding its strengths through a comparison with experimental design methods.

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Trend Score Matching Using the Statistical Analysis Software JMP Pro: A Practical Approach on the "Causal Treatment Effect" Platform

Trend Score Matching Using the Statistical Analysis Software JMP Pro: A Practical Approach on the "Causal Treatment Effect" Platform

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Verification of the effectiveness of Lasso regression using the statistical analysis software JMP Pro through simulation - For data with multicollinearity.

Verification of the effectiveness of Lasso regression using the statistical analysis software JMP Pro through simulation - For data with multicollinearity.

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Hands-on workshop: Bayesian optimization using JMP Pro statistical analysis software implemented with no code.

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Bayesian optimization is gaining attention as a method for efficiently developing new products and processes. It is characterized by its ability to efficiently explore optimal conditions through sequential experiments. In this seminar, we will introduce the Bayesian optimization platform included in JMP Pro 19, explain its fundamental concepts, and provide hands-on experience with its operation. 【Target Audience】 - Individuals involved in product and process development in the manufacturing industry - Those conducting experiments in their work - Those considering or interested in utilizing Bayesian optimization 【Overview】 - Introduction / Overview of Bayesian Optimization - Fundamental concepts and application scenarios - Operation explanation using JMP Pro 19 - Hands-on session (condition exploration using simulation examples) - Summary and Q&A Participants are requested to bring their own laptops and will operate JMP Pro using a virtual environment (virtual lab). For details on system requirements, please check the application page below. https://www.jmp.com/ja/events/seminars/non-series/2026/09-01-bayes

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SAS Institute Japan JMP Japan Division

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The JMP story goes back to 1989 when John Sall decided to combine statistical analysis capabilities with graphical visualizations to animate and visualize data. For more than 35 years now, John Sall has led JMP R&D, making each version of JMP more visual, more interactive, and more practical to help users understand their data. What started as a passion project has grown by leaps and bounds. It’s now a family of statistical software products designed with scientists and engineers in mind and used worldwide in nearly every industry.

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