| title |
Difficulty |
overview **************************************** |
Analysis of spectral data using JMP (on-demand, in Japanese)
|
★★★☆☆ |
Spectral and chromatogram data are typical examples of multivariate data, as they measure intensity at multiple wavelengths and time points. By analyzing these data according to multivariate analysis methods, it becomes possible to classify and model the data. In this seminar, we will explain how to perform multivariate analysis on this type of data using JMP products (JMP, JMP Pro) and the benefits of doing so. |
| The basics and applications of "profiles" for visualizing statistical models (On-demand, Japanese)  |
★★★☆☆ |
Profiles include "predictive profiles," "surface profiles," and "contour profiles," allowing for visualization and analysis of relatively complex models such as response surface models and neural networks from various angles. This seminar will focus on these profile features, clearly explaining what you can do with profiles, when they are useful, and providing practical examples of their application. |
| Exploratory factor analysis using JMP (in Japanese) |
★★☆☆☆ |
This seminar explains how to perform factor analysis using collected data, focusing on identifying which factors influence characteristic values from among many parameters, and how effective those factors are. |
| Analysis of survey data using the "CategoryCal" platform (in Japanese) |
★★☆☆☆ |
The "CategoryCal" platform allows you to perform aggregation and analysis of various question formats (single-choice, multiple-choice, etc.) used in surveys and consumer research. In this video, we will explain how to aggregate and analyze data using "CategoryCal" with a fictional survey from a corporate training program. |
| Master JMP: "PLS Regression" Edition (On-Demand Version, Japanese) |
★★★☆☆ |
PLS regression is an effective regression method for data with multicollinearity or when the explanatory variables exceed the sample size. In this seminar, we will explain the basic concepts of PLS regression and demonstrate analysis examples using JMP's "PLS Regression" platform. |
Master JMP: Practical Application of "Model Fitting" (On-Demand, Japanese)
|
★★☆☆☆ |
The "Model Fitting" platform allows you to fit statistical models (such as regression and analysis of variance) to data and analyze the relationships and patterns between dependent and independent variables. This seminar will explain the basic operation methods of "Model Fitting," report interpretation, and multicollinearity. |
| Master JMP: Principal Component Analysis / Cluster Analysis (On-Demand Videos in Japanese) |
★★☆☆☆ |
This document introduces how to perform principal component analysis and cluster analysis using JMP, as well as report interpretation, options, and useful features. |
| "Overview and Examples of Statistical Testing Methods Using JMP for Manufacturing Industries" On-Demand (Japanese) |
★★☆☆☆ |
This seminar is designed for manufacturing companies and aims to provide them with an introduction to utilizing statistical estimation and hypothesis testing. Using real-world examples from manufacturing sites, participants will learn how to perform tests using JMP to evaluate product quality, research results, and more with statistical evidence. |
| Master JMP: [Analyzing Date and Time Data] On-Demand Video (Japanese) |
★★★☆☆ |
This document introduces JMP's effective visualization and time series data analysis capabilities for date and time data. It covers topics such as handling date data, the ARIMA model, and state-space smoothing models. |
| An Overview of Functional Data Explorer: Functional Principal Component Analysis and Various Use Cases (in Japanese) |
★★★★☆ |
"Functional Data Explorer" is a platform for analyzing functional data, signal data, and time series data. It allows you to extract the principal functional components that represent the features of functional data, perform dimensionality reduction, and perform functional data classification and predictive model creation. This video explains these functions. (Features included in JMP Pro) |