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Anaerobic threshold estimation by statistical modelling.
(1989-12-01)
Anaerobic threshold (AT) is usually estimated as a change point problem by visual analysis of the cardiorespiratory response to incremental dynamic exercise. In this study, two phase linear (TPL) models of the linear-linear ...
Anaerobic threshold estimation by statistical modelling.
(1989-12-01)
Anaerobic threshold (AT) is usually estimated as a change point problem by visual analysis of the cardiorespiratory response to incremental dynamic exercise. In this study, two phase linear (TPL) models of the linear-linear ...
Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data
(American Geophysical Union, 2022-07-20)
The objective of this work was to generate and evaluate regional rainfall thresholds obtained from a combination of high-resolution gridded precipitation data (PISCOpd_Op), developed by the National Service of Meteorology ...
Endogeneity in threshold nonlinearity tests
(Taylor & Francis, 2014-01)
This article shows the conditions under which endogeneity of a regressor variable does not affect threshold nonlinearity tests. Inference on the values of the parameters derived from standard statistics is also appropriate. ...
A study of a multi-thresholding segmentation algorithm based on bio-inspired metaheuristic and non-extensive tsallis statistics
(2019)
An image segmentation process is one of the most important steps in an image recognition or analysis application pipeline. It is a step that splits each image into disjointed regions of interest. It is also a task that is ...
A study of a multi-thresholding segmentation algorithm based on bio-inspired metaheuristic and non-extensive tsallis statistics
(2019)
An image segmentation process is one of the most important steps in an image recognition or analysis application pipeline. It is a step that splits each image into disjointed regions of interest. It is also a task that is ...
Design and Evaluation of a Method to Derive Domain Metric Thresholds
(Universidade Federal de Minas GeraisUFMG, 2018-08-24)
Software metrics provide means to quantify several attributes of software systems. The effective measurement is dependent on appropriate metric thresholds as they allow characterizing the quality of software systems. Indeed, ...
Testing linearity against threshold effects: uniform inference in quantile regression
(Springer Heidelberg, 2014-04)
This paper develops a uniform test of linearity against threshold effects in the quantile regression framework. The test is based on the supremum of the Wald process over the space of quantile and threshold parameters. We ...