Label
Sampling (Statistics)
Name
Sampling (Statistics)
Incoming Resources
- Reliability of estimates with alternative cluster sizes in the Health Interview Survey, evaluation of loss in precision due to clustering of households, Joseph Waksberg, Robert H. Hanson, and Curtis A. Jacobs
- Wind turbine rotor design optimization using importance sampling, preprint, Ignas Satkauskas, Pietro Bortolotti, Evan Gaertner, Garrett E. Barter, Ryan King, and Peter A. Graf
- Sample design, sampling variance, and estimation procedures for the National Ambulatory Medical Care Survey, by Earl Bryant and Iris Shimizu
- An investigation of nonresponse bias and survey location variability in the 2017-2018 National Health and Nutrition Examination Survey
- The decline and fall of type II error rates, Steve Verrill, Mark Durst
- Randomistas, how radical researchers are changing our world, Andrew Leigh
- Approximate tests of independence in contingency tables from complex stratified cluster samples, Gad Nathan
- Improve the outcome of your data experiments with A-B testing, practical statistics for data science, Peter C. Bruce and Andrew G. Bruce
- Meaning from data, statistics made clear, Michael Starbird