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A Note on Distinguishing Random Trees Populations
(Taylor & Francis, 2011-12)
This article addresses the problem of identifying differences between populations of trees. Recently, a sophisticated test was proposed by Busch et al. (2009), the BFFS test, a Kolmogorov type of test that maximizes the ...
A Test of Hypotheses for Random Graph Distributions Built From EEG Data
(IEEE Computer Society, 2017-04)
The theory of random graphs has been applied in recent years to model neural interactions in the brain. While the probabilistic properties of random graphs has been extensively studied, the development of statistical ...
Automated Testing of Mobile Applications: A Systematic Map and Review
(2015-04)
Context: Software testing is a costly and time-consuming activity. Automated testing of mobile applications is considered complex and difficult. Indeed, several factors such as a variety of inputs (user, context, and ...
Random Gap Detection Test (RGDT) performance of individuals with central auditory processing disorders from 5 to 25 years of age
(Elsevier B.V., 2012-02-01)
Objective: the aim of the present study was to assess the auditory temporal resolution ability in individuals with central auditory processing disorders, to examine the maturation effect and to investigate the relationship ...
Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model
(Genetics and Molecular Biology, 2019)
Testing statistical hypothesis on random trees
(Universidad de San Andrés. Departamento de Matemáticas y Ciencias, 2006-08)
Testing inference in accelerated failure time models
(Canadian Center of Science and Education, 2014-04)
Limit theorems for sequences of random trees
(SPRINGER, 2009)
We consider a random tree and introduce a metric in the space of trees to define the ""mean tree"" as the tree minimizing the average distance to the random tree. When the resulting metric space is compact we have laws of ...
Diversity oriented test data generation using metaheuristic search techniques
(Elsevier Science IncNew YorkEUA, 2014)