An application of adaptive cluster sampling for estimating total suspended sediment load | Citedby Results | Hydrology Research | IWA Publishing

Skip to Main Content

Skip Nav Destination

An application of adaptive cluster sampling for estimating total suspended sediment load

Hydrology Research (2010) 41 (1): 63–73.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

Unbiased Estimates and Confidence Intervals of Riverine Loads for Low‐Frequency Water Quality Monitoring Strategies

Akio Tada
Haruya Tanakamaru

Water Resources Research (2022) 58 (5)

A post-event stratified random sampling scheme for monitoring event-based water quality using an automatic sampler

J.S. Lessels
T.F.A. Bishop

Journal of Hydrology (2020) 580: 123393.

The Value of Intensive Sampling—A Comparison of Fluvial Loads

Saurav Kumar
Adil Godrej
Harold Post
Karl Berger

Water Resources Management (2019) 33 (12): 4303.

Bootstrap confidence intervals for adaptive cluster sampling design based on Horvitz–Thompson type estimators

Mohammad Mohammadi
Mohammad Salehi
J. N. K. Rao

Environmental and Ecological Statistics (2014) 21 (2): 351.

Watershed size effects on applicability of regression‐based methods for fluvial loads estimation

Saurav Kumar
Adil N. Godrej
Thomas J. Grizzard

Water Resources Research (2013) 49 (11): 7698.

Adaptive survey designs for sampling rare and clustered populations

Jennifer A. Brown
Mohammad Salehi M.
Mohammad Moradi
Bardia Panahbehagh
David R. Smith

Mathematics and Computers in Simulation (2013) 93: 108.