Serial correlation in water quality variables: Estimation and implications for trend analysis

Author:

Darken Patrick F.1,Zipper Carl E.2,Holtzman Golde I.3,Smith Eric P.3

Affiliation:

1. EQMetric L.L.C.; Blacksburg Virginia USA

2. Department of Crop and Soil Environmental Sciences; Virginia Polytechnic Institute and State University; Blacksburg Virginia USA

3. Department of Statistics; Virginia Polytechnic Institute and State University; Blacksburg Virginia USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference15 articles.

1. Data from selected U. S. Geological Survey national stream water quality monitoring networks;Alexander;Water Resour. Res.,1998

2. The rank version of von Neumann's ratio test for randomness;Bartels;J. Am. Stat. Assoc.,1982

3. Robust locally weighted regression and smoothing scatterplots;Cleveland;J. Am. Stat. Assoc.,1979

4. Darken , P. F. Multiple observations per season with the seasonal Kendall analysis Tech. Rep. 98-10 Dep. of Stat., Va. Polytech. Inst. and State Univ. Blacksburg, Va. 1998

5. Detecting changes in trends in water quality using modified Kendall's tau;Darken;Environmetrics,2000

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