Statistical Analysis Software JMP: Basics of Nonlinear Regression and Practical Application in JMP - Key Points for Business Utilization Explained.

Transforming “time spent on data analysis” into “time that creates value”

JMP is a statistical analysis software used by researchers and engineers around the world. It is designed to efficiently connect data and insights obtained in the field to results that support decision‑making. One of its key features is the ability to perform a wide range of statistical analyses—such as advanced Design of Experiments (DOE), quality control, and multivariate analysis—using only mouse operations. Data managed in Excel and other tools can also be smoothly reshaped into analysis‑ready formats, enabling fast analysis without requiring complex programming. In JMP, graphs, statistical results, and data are displayed interactively and in sync, allowing users to deepen their understanding through exploration and iteration. Hypotheses and insights held by experienced engineers can be statistically validated, visualized, and organized in a form that is easy to share within teams. These visualizations support aligned discussions among stakeholders as well as evidence‑based reporting and explanation. Leveraging JMP not only reduces the burden of analysis and data preparation but also contributes to process improvement and faster development cycles. By connecting the expertise of seasoned engineers with statistical analysis, JMP aims to bring greater confidence to decisions made on the front lines.

• Production Management System
• Process Control System
• Business Intelligence and Data Analysis

This is a webinar that explains the basic concepts of nonlinear regression and practical analytical methods using JMP. We will welcome Mr. Fukushima, who is in charge of biostatistics at Takumi Information Technology and has extensive experience in the pharmaceutical industry and knowledge of statistical analysis, as our instructor. Target Audience: - Those who want to learn about nonlinear regression and understand it from the basics. - Those involved in data analysis in fields such as pharmaceuticals and manufacturing, who are interested in utilizing nonlinear models. - Those interested in data analysis using JMP and want to apply it in practice. Program: - Part 1: Introduction to Data Visualization and Nonlinear Regression An overview of the basics of nonlinear regression using non-clinical trials in the pharmaceutical industry as a subject. - Part 2: Features of Nonlinear Regression in JMP and Examples of Its Use in Quality Control An explanation focusing on the functions and features of nonlinear regression in JMP. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/06-25-nlr

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