I have summarized methods such as principal component analysis and multivariate spectral decomposition in multivariate statistical analysis!
The "Multivariate Statistical Analysis" is a catalog from Quality Design Co., Ltd., which engages in the development and sale of analysis software related to the sales of scientific instruments and manufacturing processes. It provides an easy-to-understand summary of multivariate statistical analysis, including principal component analysis, multivariate spectral decomposition methods, and the concepts of various regression formulas. Additionally, we offer workshops for our multivariate statistical analysis training courses held 3 to 4 times a year in Tokyo and Osaka, so please feel free to contact us. [Contents] ■ Principal Component Analysis ■ Multivariate Spectral Decomposition Method ■ Concepts of Various Regression Formulas ■ Handling of 3D Data ■ Information on Training Seminars *For more details, please refer to the catalog or feel free to contact us.
Inquire About This Product
basic information
【Training Seminar Information】 ■Course Name "Multivariate Statistical Analysis Theory and Practical Examples Level 1, Level 2" ■Training Course Content - Approximately 40% theory lectures and 60% analysis using real data - Lectures will be conducted by a dedicated instructor of multivariate statistical analysis from AIST ■Location and Schedule - Planned to be held 3 to 4 times a year in Tokyo and Osaka *For more details, please refer to the catalog or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the catalog or feel free to contact us.
catalog(2)
Download All CatalogsNews about this product(2)
Company information
1. Sales business of scientific and physical instruments 2. Development and sales business of analysis software related to manufacturing processes, etc. 3. Development and business related to the embedding of analysis software related to manufacturing processes, etc. 4. Consulting business 5. All businesses incidental or related to the above items