Practical methods of advanced statistics are explained.
To master the gramer of science for your research.
Analysis of variance, Regression analysis, Analysis of interaction. Parameter design, Graphical modeling
|✔ Specialist skills||Intercultural skills||Communication skills||Critical thinking skills||✔ Practical and/or problem-solving skills|
Exercise is performed in every class. PC or EC are necessary.
|Course schedule||Required learning|
|Class 1||Orientation, Buffon needle||Estimation of dintance|
|Class 2||One-way layout: anaysisi of variance and orthogonal polynomial||Application of orthogonal polinomial|
|Class 3||Analysis of three-way contingency table||Application of Mntel and Hentzel Test|
|Class 4||corelation, multiple cprelation, partial corelation||Analysis of partial corelation|
|Class 5||path analysisl||Application of path analysis|
|Class 6||Interaction analysis for two-way data Application of orthogonal polynomial||Application of orthogonal for two-way data|
|Class 7||Interaction analysis for two-way data Application of FANOVA model||Application of FANOVA model|
|Class 8||Principal component analysis||Analysis with principal component analysis|
|Class 9||Correspondence Analysis||Applicatiopn of correspondence analysis|
|Class 10||Multiple correspondence analysis||Application of multiple correspondence analysis|
|Class 11||Analysis of covariance and intermediate variable||Application of analysis of variance|
|Class 12||Metric multi-dimensional scaling||Application of metric multi-dimensional scaling|
|Class 13||Discriminant analysis||Analysis with asymmetric discrimminant analysis|
|Class 14||Graphicak modeling: Covariance selection||Application of covariance selection|
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Enkawa,T. and Miyakawa,M. SQC Theoey and Practice
Miyakawa,M. Statistical Technology
Miyakawa,M. Graphical MOdelong
Miyakawa,M. Technology for Getting Quality
Evaluation of reports.
Elementary ｓtatistical methods