The power of statistical tests for trend detection

Turkish Journal of Engineering and Environmental Sciences

Volumn 27, Issue 4, 2003, Pages 247-251

  Önöz, Bihrat ^a   Bayazit, Mehmetçik ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Mann Kendall test; Power of a test; T test; Trend detection

Indexed keywords

COMPUTER SIMULATION; HYDROLOGY; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; STATISTICAL TESTS; TIME SERIES ANALYSIS;

NULL HYPOTHESIS;

ENVIRONMENTAL ENGINEERING;

MONTE CARLO ANALYSIS; STATISTICAL ANALYSIS; STREAMFLOW; TIME SERIES; TREND ANALYSIS;

TURKEY;

EID: 0043166562     PISSN: 13000160     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. Haan, C.T., Statistical Methods in Hydrology, The Iowa State Univ. Press, Ames, 1977.
2. Helsel, D.R., and Hirsch, R.M., Statistical Methods in Water Resources, Elsevier, Amsterdam 1992.
3. Hirsch, R.M., Alexander, R.B., and Smith, R.A., Selection of methods for the detection and estimation of trends in water quality, Water Resources Res., 27, 803-814, 1991.
4. Salas, J.D., Analysis and modeling hydrologic time series, In Handbook of Hydrology, Maidment, D.R. (ed.), McGraw-Hill, New York, 19.1-19.72, 1993.
5. Yue, S., Pilon, P., and Caradias, G., Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series, J. Hydrol., 259, 254-271, 2002.