Forecasting Peak Daily Ozone Levels—I. A Regression with Time Series Errors Model Having a Principal Component Trigger to Fit 1991 Ozone Levels-Reference-Cited by-同舟云学术

Forecasting Peak Daily Ozone Levels—I. A Regression with Time Series Errors Model Having a Principal Component Trigger to Fit 1991 Ozone Levels

Published:2002-09 Issue:9 Volume:52 Page:1064-1074
ISSN:1096-2247
Container-title:Journal of the Air & Waste Management Association
language:en
Short-container-title:Journal of the Air & Waste Management Association

Author:

Liu Pao-Wen Grace¹,Johnson Richard²

Affiliation:

1. a Bureau of Air Management, Wisconsin Department of Natural Resources , Madison , Wisconsin , USA

2. b Department of Statistics , University of Wisconsin , Madison , Wisconsin , USA

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal

Link

https://www.tandfonline.com/doi/pdf/10.1080/10473289.2002.10470841

Reference28 articles.

1. Draper, N.R.; Smith, H.Applied Regression Analysis, 2nd ed.; John Wiley & Sons: New York, 1981.

2. Liu, P.W.; Johnson, R. Forecast Peak Daily Ozone Levels—II. Using A Regression with Time Series Errors Model Having a Principal Component Trigger to Forecast 1999 Ozone Levels;J. Air & Waste Manage. Assoc., accepted for publication.

3. Attainment Demonstration for Ozone for the Year 2007, The Phase 3 Attainment State Implementation Plan (SIP) for the Eastern Wisconsin Nonattainment Areas;Wisconsin Department of Natural Resources: December 2000.

4. Smith, B.E.; Adamski, W.J. Eight-Hour Ozone Trends of Sites in Lake Michigan Ozone Nonattainment Areas;J. Air & Waste Manage. Assoc.1998,48, 1204–1206.

5. Koletzke, M. M.S. Thesis, University of Central Florida, 1996.

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