Scan Statistics for Normal Data with Outliers
Sign Up to like & getrecommendations! Published in 2020 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-020-09837-3
Abstract: In this article we investigate the performance of scan statistics based on moving medians, as test statistics for detecting a local change in population mean, for one and two dimensional normal data, in presence of… read more here.
Keywords: one two; scan statistics; population mean; change population ... See more keywords
Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation.
Sign Up to like & getrecommendations! Published in 2019 at "Diagnostic and interventional imaging"
DOI: 10.1016/j.diii.2019.05.008
Abstract: PURPOSE The purpose of this study was to report procedures developed to annotate abdominal computed tomography (CT) images from subjects without pancreatic disease that will be used as the input for deep convolutional neural networks… read more here.
Keywords: abdomen deep; annotated normal; deep learning; data abdomen ... See more keywords
An optimal projection test for zero multiple correlation coefficient in high-dimensional normal data
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1757111
Abstract: Abstract Testing the hypothesis of zero multiple correlation coefficient is of interest in wide variety of applications including multiple regression analysis. In high-dimensional data, traditional testing procedures to test this hypothesis become practically infeasible due… read more here.
Keywords: normal data; multiple correlation; zero multiple; dimensional normal ... See more keywords