Novel TRUMP for Precision, Efficiency and Complex Estimation (PEACE) Strategies in Survey Sampling

Music City Center 

Singh and Sedory (2024: JSM 2024 Proceedings: Future of Tuned Ratio Unbiased Mean Predictor (TRUMP) with the Unified Scrambling Approach (USA)) have pointed out that the TRUMP with the USA has a wider scope of research in the field of survey sampling for dealing with sensitive issues. In this presentation, we will show that a novel Tuned Robust Unbiased Model Predictor (TRUMP) is expected to bring Precision, Efficiency and Complex Estimation (PEACE) strategies into practice when dealing with general linearly optimized best estimators (GLOBE) of a population total. The novel TRUMP model is robust in the face of many situations that could arise in real world surveys. Several situations requiring the development of TRUMP Care coefficients for new types of TRUMP Cuts when utilizing complex designs will be discussed. A method to make a great adjustment (MAGA), utilizing golden ratio, to the TRUMP Care coefficients will be introduced to usher in the golden age of TRUMP methodology. If time permits, ideas of chain-type and grafted TRUMP Cuts for complex designs will be touched on. New theoretical developments and results of a recent simulation study will be reported.

Jackknifing

Calibration

TRUMP Cuts

TRUMP Care coefficient

TRUMP Subsidy

Horvitz-Thompson Estimator 

Survey Research Methods Section