Permutation Tests for Validating Computer Experiments

Autor:	Thomas Mühlenstädt, Ursula Gather
Rok vydání:	2008
Předmět:	Permutation Computer science business.industry Resampling Artificial intelligence Focus (optics) Machine learning computer.software_genre business Computer experiment computer Power (physics) Test (assessment)
Zdroj:	Statistical Inference, Econometric Analysis and Matrix Algebra ISBN: 9783790821208
DOI:	10.1007/978-3-7908-2121-5_5
Popis:	Deterministic computer experiments are of increasing importance in many scientific and engineering fields. In this paper we focus on assessing the adequacy of computer experiments, i.e. we test if a computer experiment is predicting a corresponding real world phenomenon. A permutation test is presented which can be adapted to different situations in order to achieve good power.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::19bf7fa5547ba60c412735b3b0574b01 https://doi.org/10.1007/978-3-7908-2121-5_5 Zobrazit plný text záznamu