Data compression in discriminating stochastic processes
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Displaying 1 – 6 of 6
Detecting atypical data in air pollution studies by using shorth intervals for regression
Cécile Durot, Karelle Thiébot (2010)
ESAIM: Probability and Statistics
To validate pollution data, subject-matter experts in Airpl (an organization that maintains a network of air pollution monitoring stations in western France) daily perform visual examinations of the data and check their consistency. In this paper, we describe these visual examinations and propose a formalization for this problem. The examinations consist in comparisons of so-called shorth intervals so we build a statistical test that compares such intervals in a nonparametric regression model. This...
Detecting atypical data in air pollution studies by using shorth intervals for regression
Cécile Durot, Karelle Thiébot (2005)
ESAIM: Probability and Statistics
To validate pollution data, subject-matter experts in Airpl (an organization that maintains a network of air pollution monitoring stations in western France) daily perform visual examinations of the data and check their consistency. In this paper, we describe these visual examinations and propose a formalization for this problem. The examinations consist in comparisons of so-called shorth intervals so we build a statistical test that compares such intervals in a nonparametric regression model. This...
Discussion of D. Denis. Fisher : responsible, not guilty
Bruno Lecoutre, Jacques Poitevineau, Marie-Paule Lecoutre (2004)
Journal de la société française de statistique
Distribution of Chi-Square Analogue for Normal Population with Class Intervals Defined in Terms of the Sample Quartiles.
R. Bhargava (1973)
Metrika
Distribution-free Test for Homogeneity Against Stochastic Ordering.
A. Shanubhogue (1988)
Metrika
Currently displaying 1 – 6 of 6
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