Multiple Statistical Methods

Prerequisite:

Engineering Statistics (XD16IST)

The course is a substitute for:

Multiple Statistical Methods (D16VSM)

Lecturer:

Tutor:

Supervisor:

Department of Economics, Management and Humanities

Synopsis:

Correlation and regression, basic concepts, simple regression, estimation of parameters, interval estimation of regression functions, measurement of dependence intensity, time series, seasonal date, multiple dependence, estimation of parameters, estimation of confidence interval, intensity of dependence, total and partial correlation coefficient, analysis of variance. Time series Analysis

Requirements:

Syllabus of lectures:

1. Correlation and regression, basic concepts. The choice of regression

2. Measurement of dependence intensity, correlation index

3. Correlation coefficient. Spearman rank correlation

4. Point and interval estimation, confidence interval of regression functions

5. Interval estimation of correlation coefficient

6. Multiple dependence, estimation of parameters. Beta-coefficients

7. Intensity of dependence, total correlation coefficient

8. Partial correlation coefficient

9. Imterval estimations of partial regression coefficients

10. Analysis of variance - one factror analysis

11. Time series, concepts, qualities. Chronological average

12. Time series - trends

13. Time series - cyclical, seasonal date

14. Repeticion of more demanding matter. Collective consultation

Seminars/Labs:

1. Correlation and regression, basic concepts. The choice of regression

2. Measurement of dependence intensity, correlation index

3. Correlation coefficient. Spearman rank correlation

4. Point and interval estimation, confidence interval of regression functions

5. Interval estimation of correlation coefficient. Test

6. Multiple dependence, estimation of parameters. Beta-coefficients

7. Intensity of dependence, total correlation coefficient

8. Partial correlation coefficient

9. Goodness Imterval estimations of partial regression coefficients.

10. Analysis of variance - one factror analysis. Test

11. Time series, concepts, qualities. Chronological average

12. Time series - trends

13. Time series - cyclical, seasonal date. Test

14. Repeticion of more demanding matter. Collective consultation

Syllabus of tutorials:

1. Correlation and regression, basic concepts. The choice of regression

2. Measurement of dependence intensity, correlation index

3. Correlation coefficient. Spearman rank correlation

4. Point and interval estimation, confidence interval of regression functions

5. Interval estimation of correlation coefficient. Test

6. Multiple dependence, estimation of parameters. Beta-coefficients

7. Intensity of dependence, total correlation coefficient

8. Partial correlation coefficient

9. Goodness Imterval estimations of partial regression coefficients.

10. Analysis of variance - one factror analysis. Test

11. Time series, concepts, qualities. Chronological average

12. Time series - trends

13. Time series - cyclical, seasonal date. Test

14. Repeticion of more demanding matter. Collective consultation

Study Objective:

Study materials:

1. Daniel, Terrel: Business Statistics. Boston, Houghton Miffin Company, 1989

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Heavy-current Engineering - Electroenergetics- structured studies (elective specialized course)
• Telecommunications and Radio-engineering - High-frequency and Microwave Technology- structured studi (elective specialized course)
• Heavy-current Engineering - Technological Systems- structured studies (elective specialized course)
• Cybernetics and Measurements - Control Engineering- structured studies (elective specialized course)
• Electronics - Electronic Systems- structured studies (elective specialized course)
• Economics and Management of Power Engineering- structured studies (elective specialized course)
• Biomedical Engineering- structured studies (elective specialized course)
• Economics and Management in Electrical Engineering- structured studies (elective specialized course)
• Electronics - Electronic Applications- structured studies (elective specialized course)
• Electronics - Electronics and Photonics- structured studies (elective specialized course)
• Cybernetics and Measurements - Artificial Intelligence- structured studies (elective specialized course)
• Cybernetics and Measurements - Measurement and Instrumentation Systems- structured studies (elective specialized course)
• Cybernetics and Measurements - Aeronautical Engineering and Control Systems- structured studies (elective specialized course)
• Heavy-current Engineering - Electric Drives- structured studies (elective specialized course)
• Heavy-current Engineering - Electrical Engineering Applications- structured studies (elective specialized course)
• Telecommunications and Radio-engineering - Opto-electric Systems- structured studies (elective specialized course)
• Telecommunications and Radio-engineering - Radio Communications, Navigation and Radar Systems- struc (elective specialized course)
• Telecommunications and Radio-engineering - Multimedia, Sound and Television Technology- structured s (elective specialized course)
• Telecommunications and Radio-engineering - Telecommunications- structured studies (elective specialized course)