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METHODS IN DATA REDUCTION: I. ANOTHER LOOK AT LEAST SQUARES

DEANE M. PETERSON
Publications of the Astronomical Society of the Pacific
Vol. 91, No. 542 (August 1979), pp. 546-552
Stable URL: http://www.jstor.org/stable/40677375
Page Count: 7
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
METHODS IN DATA REDUCTION: I. ANOTHER LOOK AT LEAST SQUARES
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Abstract

We call attention to a technique for fitting least-squares polynomials which is compact, fast, allows easy application of common statistical tests, requires only single precision arithmetic, and otherwise avoids the numerical difficulties associated with the classical formulations. The approach seems particularly suited for on-line experiment control and other small computer applications. As a specific example, we discuss the problems of fitting dispersion solutions and subsequently identifying unknown spectral lines.

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