Goodness-of-fit tests are developed using simulated hyperrectangular and highest-density-region confidence sets for joint distributions of multiple sample statistics, with simulations indicating competitive or superior power to classical and graphical methods.
Wahrscheinlichkeitsrechnung und ihre Anwendung auf die Statistik und theoretische Physik
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Goodness of Fit Tests Based on Joint Densities of Multiple Sample Statistics
Goodness-of-fit tests are developed using simulated hyperrectangular and highest-density-region confidence sets for joint distributions of multiple sample statistics, with simulations indicating competitive or superior power to classical and graphical methods.