DATA ANALYSIS OF WATER QUALITY TIME SERIES IN LAKE ERIE1
- 8 June 1988
- journal article
- Published by Wiley in Jawra Journal of the American Water Resources Association
- Vol. 24 (3) , 533-544
- https://doi.org/10.1111/j.1752-1688.1988.tb00903.x
Abstract
A comprehensive data analysis study is carried out for detecting trends and other statistical characteristics in water quality time series measured in Long Point Bay, Lake Erie. In order to glean an optimal amount of useful information from the available data, the exploratory and confirmatory data anslysis stages are adhered to. To test a range of hypotheses regarding the statistical properties of the time series, a wide variety of both parametric and nonparametric techniques are employed. A particularly useful nonparametric method for discovering trends is the seasonal Mann‐Kendall test.Keywords
This publication has 19 references indexed in Scilit:
- A Nonparametric Trend Test for Seasonal Data With Serial DependenceWater Resources Research, 1984
- TECHNIQUES FOR DETECTING TRENDS IN LAKE WATER QUALITY1Jawra Journal of the American Water Resources Association, 1984
- TREND ASSESSMENT OF WATER QUALITY TIME SERIES1Jawra Journal of the American Water Resources Association, 1983
- Intervention Analysis with Applications to Economic and Environmental ProblemsJournal of the American Statistical Association, 1975
- Intervention Analysis with Applications to Economic and Environmental ProblemsJournal of the American Statistical Association, 1975
- Ordered Hypotheses for Multiple Treatments: A Significance Test for Linear RanksJournal of the American Statistical Association, 1963
- A Distribution-Free k-Sample Test Against Ordered AlternativesBiometrika, 1954
- A DISTRIBUTION-FREE k-SAMPLE TEST AGAINST ORDERED ALTERNATIVESBiometrika, 1954
- A Note on Normal CorrelationBiometrika, 1939
- A NOTE ON NORMAL CORRELATIONBiometrika, 1939