Seemingly unrelated intervention time series models for effectiveness evaluation of large scale environmental remediation

Marine Pollution Bulletin

Volumn 74, Issue 1, 2013, Pages 56-65

  Ip, Ryan H L ^a   Li, W K ^a   Leung, Kenneth M Y ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Environmental remediation; HATS; Intervention analysis; Seemingly unrelated regression; Time series

Indexed keywords

INVESTMENTS; POLLUTION; QUALITY MANAGEMENT; SEAWATER; TIME SERIES; WATER CONSERVATION; WATER MANAGEMENT; WATER QUALITY;

EFFECTIVENESS EVALUATION; ENVIRONMENTAL REMEDIATION; ENVIRONMENTAL REMEDIATION PROJECTS; HATS; INTERVENTION ANALYSIS; MARINE WATER QUALITY; SEEMINGLY UNRELATED REGRESSION; TIME SERIES MODELS;

TIME SERIES ANALYSIS;

AMMONIA; DISSOLVED OXYGEN;

COASTAL ZONE MANAGEMENT; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL PLANNING; MODEL; PLANNING METHOD; POLICY APPROACH; PROJECT ASSESSMENT; REGRESSION ANALYSIS; REMEDIATION; TIME SERIES ANALYSIS;

ARTICLE; BIOCHEMICAL OXYGEN DEMAND; CONTROLLED STUDY; ECOSYSTEM RESTORATION; HONG KONG; INTERMETHOD COMPARISON; MARINE ENVIRONMENT; MATHEMATICAL MODEL; SEEMINGLY UNRELATED REGRESSION; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS; WATER MANAGEMENT; WATER QUALITY;

CHINA; HONG KONG;

EID: 84884159134     PISSN: 0025326X     EISSN: 18793363     Source Type: Journal    
DOI: 10.1016/j.marpolbul.2013.07.032     Document Type: Article

References (17)

1. Abraham B. Application of intervention analysis to a road fatality series in Ontario. J. Forecast. 1987, 6(3):211-219.
2. Akaike H. A new look at the statistical model identification. IEEE Trans. Autom. Control 1974, 19(6):716-723.
3. Box G.E.P., Jenkins G.M. Time Series Analysis: Forecasting and Control 1976, Holden-Day Inc., Califronia. revised ed.
4. Box G.E.P., Tiao G.C. Intervention analysis with applications to economic and environmental problems. JASA 1975, 70(349):70-79.
5. Choi K.W., Lee J.H.W., Kwok K.W.H., Leung K.M.Y. Integrated stochastic environmental risk assessment of the harbour area treatment scheme (HATS) in Hong Kong. Environ. Sci. Technol. 2009, 43(10):3705-3711.
6. Haugh L.D. Checking the independence of two covariance-stationary time series: a univariate residual cross-correlation approach. JASA 1976, 71(354):378-385.
7. Hipel K.W., Lennox W.C., Unny T.E., McLeod A.I. Intervention analysis in water resources. Water Resour. Res. 1975, 11(6):855-861.
8. HKEPD, 2009. Environmental Protection Department of the Government of Hong Kong Special Administrative Region, Marine Water Quality in Hong Kong 2009.
9. Lenten L.J.A., Moosa I.A. An empirical investigation into long-term climate change in Australia. Environ. Model. Softw. 2003, 18(1):59-70.
10. Liu A. Efficient estimation of two seemingly unrelated regression equations. J. Multivar. Anal. 2002, 82(2):445-465.
11. Lütkepohl H. New Introduction to Multiple Time Series Analysis 2005, Cambridge Univ. Press. second ed.
12. Ma T., Ye R. Efficient improved estimation of the parameters in two seemingly unrelated regression models. J. Stat. Plann. Infer. 2010, 140(9):2749-2754.
13. Rao A.R., Rao S.G. Intervention analysis of rainfall affected by urbanization. Sci. Proced. Appl. Plann. Des. Manage. Water Resour. Syst. 1983, (147):49-59.
14. Wei W.W.S. Time Series Analysis Univariate and Multivariate Methods 2006, Pearson Education, Inc. second ed.
15. Yeung I., Yung Y.K. Intervention analysis on the effect of two sewage screening plants on the BOD5 levels in the Hong Kong Victoria Harbour and vicinity. Environ. Monit. Assess. 1999, 58:79-93.
16. Zellner A. An efficient method of estimating seemingly unrelated regressions and test for aggregation bias. JASA 1962, 57(298):348-368.
17. Zellner A. Estimators for seemingly unrelated regression equations: Some exact finite sample results. JASA 1963, 58(304):977-992.