This paper presents user-friendly SAS macro and SAS programs to check the three parts of a time series: Trend, Cyclical patterns, and Stationarity. The SAS macro KENDALL performs the trend analysis. Seasonal Kendall Trend analysis, including summery statistics; overall Tau and the P-value of the test for trend; monthly Tau values, the corresponding P-values for each month; the Seasonal Kendall estimate with confidence intervals; 3 exploratory plots by months comparative boxplot, comparative histogram, and trend plot against year. Spectral analysis program calculates Periodogram ordinates and Spectral density estimates, Periodogram plots against frequency, plots of Spectral density estimates against frequency and period, 2 tests for White No...
In the statistical sciences whose names are known Linear Trend. This linear trend can be used to pre...
Abstract — A new machine learning tool has been developed to classify water stations with similar wa...
Water quality evaluation provides important information to estimate water system status and to test ...
An important consideration for long term monitoring programs is determining the required sampling ef...
Three approaches to trend analysis of water quality time series are discussed: (1) seasonal model, w...
Abstract: The current interest in water quality improvement plans across the country and the wide ra...
In this study, spatial and seasonal variations of water quality in Haraz River Basin were evaluated ...
Robust statistical tools were applied on the water quality datasets with the aim of determining the ...
This work proposes a methodology for characterizing the time evolution of water quality time series ...
A recent paper published time series of concentrations of chemicals in drinking water collected from...
Monitoring domestic water usage may help the water utilities uncover abnormal water consumption. In ...
In developing a water quality monitoring program, the sampling frequency chosen should be able to re...
Water pollution has become a growing threat to human society and natural ecosystems in the recent de...
In this thesis work, efforts were made to use Mann-Kendal test, a non-parametric trend test method, ...
Estimating seasonal indices is an important aspect of time series analysis. This paper presents an i...
In the statistical sciences whose names are known Linear Trend. This linear trend can be used to pre...
Abstract — A new machine learning tool has been developed to classify water stations with similar wa...
Water quality evaluation provides important information to estimate water system status and to test ...
An important consideration for long term monitoring programs is determining the required sampling ef...
Three approaches to trend analysis of water quality time series are discussed: (1) seasonal model, w...
Abstract: The current interest in water quality improvement plans across the country and the wide ra...
In this study, spatial and seasonal variations of water quality in Haraz River Basin were evaluated ...
Robust statistical tools were applied on the water quality datasets with the aim of determining the ...
This work proposes a methodology for characterizing the time evolution of water quality time series ...
A recent paper published time series of concentrations of chemicals in drinking water collected from...
Monitoring domestic water usage may help the water utilities uncover abnormal water consumption. In ...
In developing a water quality monitoring program, the sampling frequency chosen should be able to re...
Water pollution has become a growing threat to human society and natural ecosystems in the recent de...
In this thesis work, efforts were made to use Mann-Kendal test, a non-parametric trend test method, ...
Estimating seasonal indices is an important aspect of time series analysis. This paper presents an i...
In the statistical sciences whose names are known Linear Trend. This linear trend can be used to pre...
Abstract — A new machine learning tool has been developed to classify water stations with similar wa...
Water quality evaluation provides important information to estimate water system status and to test ...