CONTENTS
19.2 Least-Squares Regression Analysis
19.5 Multi-Variable Linear Analysis*
19.6 Determining the Appropriate Fit
19.7 Regression Confidence Intervals
19.9 Linear Correlation Analysis
19.10 Signal Correlations in Time*
Of all the principles that can be proposed for this purpose, I think there is none more general, more exact, or easier to apply, than that which we have used in this work; it consists of making the sum of the squares of the errors a minimum. By this method, a kind of equilibrium is established ...
Get Measurement and Data Analysis for Engineering and Science, 4th Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
