| Lecture 1- |
Representation of Data in
Linear, Log-log, Semi-Log Plots. Special Graphs based on
Rosin-Rammler and Monotonic Equations. Mathematical Interpretation
of above |
| Lecture 2- |
Theory of Linear and Quadratic
Regression. Their Practical Utility in Determining Best-fit Equations to Data |
| Lecture 3- |
Theory of Polynomial,
Logarithmic, Exponential, Rosin-Rammler, Monotonic Regression and Their Practical Utility |
| Lecture 4- |
Theory of Multivariable
Multinomial Regression |
| Lecture 5- |
Monotonic Transform. Its
Enormous Practical Relevance. |
| Lecture 6- |
Utility of Monotonic Transform
in Curve-fitting |
| Lecture 7- |
Ten Industrial Case Studies
Indicating Benefits Derived |
| Lecture 8- |
Application of Monotonic
Transform to Sale Forecasting |
| Lecture 9- |
Computer Program Subroutine in
FORTRAN 77 for Linear Regression |
| Lecture 10- |
Computerisation of
Industrial and Sales Data for Forecasting and Control.
"What-if"
and "Goal-seek". Application of Software Packages |