Abstract

It is shown that the fitting of experimental data to Beer’s law by means of a straightforward least-square procedure is unsatisfactory. A more efficient technique uses a weighed regression. In certain cases, the error introduced by the use of the conventional method can be as great as 0.5%. Computational techniques are presented.

© 1965 Optical Society of America

Measurement of Excited State Relaxation Rates

W. R. Bennett, P. J. Kindlmann, and G. N. Mercer
Appl. Opt. 4(S1) 34-57 (1965)

Scattered Intensities for Random Distributions—Microwave Data and Optical Applications

C. I. Beard, T. H. Kays, and V. Twersky
Appl. Opt. 4(10) 1299-1315 (1965)

A Numerical Method for Determining the Relative Spectral Response of the Vidicons in a Nimbus Satellite System

H. E. Fleming and D. Q. Wark
Appl. Opt. 4(3) 337-342 (1965)

Calculations of Atmospheric Radiation From 4.2 μ to 5 μ

L D. Gray and R. A. McClatchey
Appl. Opt. 4(12) 1624-1631 (1965)

Characteristic Frequencies from Infrared and Elastic Data

Johannes N. Plendl and Peter J. Gielisse
Appl. Opt. 4(7) 853-856 (1965)