Solme Robust Statistical Procedures and Their Application To Air Pollution Data
- 1 November 1976
- journal article
- research article
- Published by Taylor & Francis in Technometrics
- Vol. 18 (4) , 401-409
- https://doi.org/10.1080/00401706.1976.10489471
Abstract
Robust methods for estimation location and fitting principal components are used to investigate the production and origin of the air pollutant, ozone, within the New York City—Northern New Jersey region. Distributions of daily maximum ozone concentrations at five sites, three of them in highly urbanized areas and two of them in nonurban areas, are very similar. The differences in concentration which do exist, occur at hours other than those when maxima occur, and appear to be largely a result of differing levels of local emissions of nitric oxide, which reduces the ozone concentrations locally. These results suggest that it is unlikely that a reduction of emissions within the New York area alone would have the potential to reduce ozone concentrations within the area itself by a significant factor.Keywords
This publication has 7 references indexed in Scilit:
- Photochemical Air Pollution: Transport from the New York City Area into Connecticut and MassachusettsScience, 1976
- Analysis of Los Angeles Photochemical Smog Data: A Statistical OverviewJournal of the Air Pollution Control Association, 1975
- Ozone Concentrations in New Jersey and New York: Statistical Association with Related VariablesScience, 1974
- The Influence Curve and Its Role in Robust EstimationJournal of the American Statistical Association, 1974
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic DataTechnometrics, 1974
- The 1972 Wald Lecture Robust Statistics: A ReviewThe Annals of Mathematical Statistics, 1972
- The Use of Moving Averages in the Measurement of Seasonal VariationsJournal of the American Statistical Association, 1928