Ranked set sampling based on binary water quality data with covariates

By Paul H. Kvam. 2003

74 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9c9e2910752ddc64e89ab07673b0b2436f01be94

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Xinlei Wang
2. Johan Lim
3. Lynne Stokes

In Statistics and Probability

1. Xinlei Wang
2. Johan Lim
3. Lynne Stokes
4. Ronald C. Kessler
5. R. Ervin
6. Matthew J. Salganik
7. N. Sampson
8. Cem Kadılar

Citations in the corpus

• Using Ranked Set Sampling With Cluster Randomized Designs for Improved Inference on Treatment Effects (2016, methodology): “In various applications, RSS has been found to enhance the efficiency of estimation and power of statistical inference (e.g., Nussbaum and Sinha 1997; Mode, Conquest, and Marker 1999; Murray, Ridout, and Cross 2000; Kvam 2003).”