Jackknife interval estimation of air-pollutant concentrations from road traffic in Athens

dc.contributor.author	Φράγκος, Χρήστος Κ. (1949-)	el
dc.date.accessioned	2015-05-05T09:20:21Z
dc.date.issued	2015-05-05
dc.identifier.uri	http://hdl.handle.net/11400/9723
dc.rights	An error occurred on the license name.	*
dc.rights.uri	An error occurred getting the license - uri.	*
dc.source	http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1372029	el
dc.subject	Pollutants
dc.subject	Roads
dc.subject	Traffic
dc.subject	Greece
dc.subject	Ρύποι
dc.subject	Δρόμοι
dc.subject	Κυκλοφορία
dc.subject	Ελλάδα
dc.title	Jackknife interval estimation of air-pollutant concentrations from road traffic in Athens	en
heal.type	journalArticle
heal.classification	Social sciences
heal.classification	Statistics
heal.classification	Κοινωνικές επιστήμες
heal.classification	Στατιστική
heal.classificationURI	http://skos.um.es/unescothes/C03719
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh99001414
heal.classificationURI	N/A-Κοινωνικές επιστήμες
heal.classificationURI	N/A-Στατιστική
heal.keywordURI	http://skos.um.es/unescothes/C03064
heal.keywordURI	http://skos.um.es/unescothes/C03432
heal.keywordURI	http://skos.um.es/unescothes/C04104
heal.keywordURI	http://zbw.eu/stw/descriptor/17184-0
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Διοίκησης και Οικονομίας. Τμήμα Διοίκησης Επιχειρήσεων. Κατεύθυνση Διοίκηση Επιχειρήσεων	el
heal.publicationDate	2005-06
heal.bibliographicCitation	Frangos, C. C. (2005). Jackknife interval estimation of air-pollutant concentrations from road traffic in Athens. "Archives of Economic History" 17(1). June 2005. pp. 53-66. Available from: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1372029. [Accessed 05/04/2009]	en
heal.abstract	In this paper the air-pollutant concentration is denoted as a random variable C(t), t = 1, 2, ... , 24, from an unknown distribution F(mu, sigma[superscript 2]). Fixing the time t of the day, the data have the form C [subscript 1], C [subscript 2], ... , C [subscript 360]. The aim is to find a distribution-free confidence interval for the mean (mu) of the unknown distribution F. The Classical large-sample confidence interval for mu has a large expected length because the variance estimate [superscript 2] of sigma[superscript 2] is biased. For this reason, we propose the subsampling statistical technique of bias reduction and robust interval estimation, commonly known as "Jackknife technique," in order to construct distribution-free confidence intervals for the mean concentration, based on Tukey's conjecture, (Tukey, 1958). We find 24 confidence intervals for (mu) corresponding to the 24 hours of the day. We compare the lengths of the above intervals and we find the maximum and the minimum. The Jackknife confidence intervals, which we obtain in this way, are robust in the presence of different distributions of the concentration random variable C and they have smaller mean lengths than the Classical confidence intervals for (mu). We also find the sampling variance of the lengths of the confidence intervals and we perform tests of hypothesis for the mean mu. For a fixed day, we consider the time series of the observations of the concentrations over 24 hours. We propose an autoregressive model to predict future observations of concentrations. Because the "errors" of this model suffer from the presence of non-normality, we propose the estimation of the parameters of this model by the statistical methodology "Bootstrap" (Efron, Tibshirani, 1993).	en
heal.journalName	Archives of Economic History	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false