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Journal ArticleDOI

Data Reduction and Error Analysis for the Physical Sciences.

Philip R. Bevington
- 01 Mar 1972 - 
- Vol. 67, Iss: 337, pp 249
TLDR
Numerical methods matrices graphs and tables histograms and graphs computer routines in Pascal and Monte Carlo techniques dependent and independent variables least-squares fit to a polynomial least-square fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood.
Abstract
Uncertainties in measurements probability distributions error analysis estimates of means and errors Monte Carlo techniques dependent and independent variables least-squares fit to a polynomial least-squares fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood. Appendices: numerical methods matrices graphs and tables histograms and graphs computer routines in Pascal.

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Journal ArticleDOI

Aerosol Retrievals from Individual AVHRR Channels. Part I: Retrieval Algorithm and Transition from Dave to 6S Radiative Transfer Model

TL;DR: In this article, a second-generation aerosol retrieval algorithm over oceans used at NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) separately retrieves two values of aerosol optical depth, τ1 and τ2, from Advanced Very High Resolution Radiometer (AVHRR) channels 1 and 2 centered at 0.63 and 0.83 μm, respectively.
Journal ArticleDOI

Errors associated with fitting Gaussian profiles to noisy emission-line spectra

TL;DR: In this paper, the authors developed prescriptions to predict profile fitting errors for Gaussian emission lines perturbed by white noise, which can be generalized to more complicated signal-dependent noise models of common astronomical detector systems.
Journal ArticleDOI

Estimating random errors due to shot noise in backscatter lidar observations

TL;DR: Using the noise scale factor to estimate random errors in lidar measurements due to shot noise provides a significant advantage over the conventional error estimation techniques, in that with the NSF, uncertainties can be reliably calculated from or for a single data sample.
Journal ArticleDOI

Solution Thermodynamics and Preferential Solvation of Meloxicam in Propylene Glycol + Water Mixtures

TL;DR: In this paper, the Gibbs energy, enthalpy, and entropy of solution and of mixing were obtained from these solubility data, and the preferential solvation of MEL by the components of the solvent was estimated by means of the inverse Kirkwood-Buff integral method.