Estimating contaminant loads in rivers: An application of adjusted maximum likelihood to type 1 censored data-Reference-Cited by-同舟云学术

Estimating contaminant loads in rivers: An application of adjusted maximum likelihood to type 1 censored data

Published:2005-07 Issue:7 Volume:41 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Cohn Timothy A.¹

Affiliation:

1. U.S. Geological Survey; Reston Virginia USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2004WR003833/fullpdf

Reference42 articles.

1. Estimation in lognormal linear models;Bradu;J. Am. Stat. Assoc.,1970

2. Childress , C. J. O. W. T. Foreman B. F. Connor T. J. Maloney 1999 New reporting procedures based on long-term method detection levels and some considerations for interpreations of water quality data provided by the U.S. Geological Survey National Water Quality Laboratory U.S. Geol. Surv. Open File Rep., 99-193

3. Christensen , V. G. A. C. Ziegler 2000 Regression analysis and real-time water-quality monitoring to estimate constituent concentrations, loads, and yields in the Little Arkansas River, south-central Kansas, 1995-99 U.S. Geol. Surv. Water Resour. Invest. Tech. Rep., 2000-4126

Cited by 76 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating the applicability and assumptions of the regression relationship between flow discharge and nitrogen concentrations for load estimation;Heliyon;2024-01

2. Assessment of nutrient load estimation approaches for small urban streams in Durham, North Carolina;Scientific Investigations Report;2024

3. Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York;Scientific Investigations Report;2024

4. Analysis of the Learning Process of Computer Programming Logic in an 8-Year-Old Elementary School Student at Home through the Scratch Program;Digital;2023-12-25

5. Nonstationary hydrological frequency analysis using the Metastatistical extreme value distribution;Advances in Water Resources;2023-06