Matches in SemOpenAlex for { <https://semopenalex.org/work/W2079188092> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2079188092 endingPage "268" @default.
- W2079188092 startingPage "253" @default.
- W2079188092 abstract "An important problem in high-dimensional data analysis is determining whether sample points are uniformly distributed (i.e., exhibit complete spatial randomness) over some compact support, or rather possess some underlying structure (e.g., clusters or other nonhomogeneities). We propose two new graph-theoretic tests of uniformity which utilize the minimum spanning tree and a snake (a short non-branching acyclic path connecting each data point). We compare the powers of statistics based on these graphs with other statistics from the literature on an array of non-uniform alternatives in a variety of supports. For data in a hypercube, we find that test statistics based on the minimum spanning tree have superior power when the data displays regularity (e.g., results from an inhibition process). For arbitrarily shaped or unknown supports, we use run length statistics of the sequence of segment lengths along the snake’s path to test uniformity. The snake is particularly useful because no knowledge or estimation of the support is required to compute the test statistic, it can be computed quickly for any dimension, and it shows what kinds of non-uniformities are present. These properties make the snake unique among multivariate tests of uniformity since others only function on specific and known supports, have computational difficulties in high dimension, or have inconsistent type I error rates." @default.
- W2079188092 created "2016-06-24" @default.
- W2079188092 creator A5014716596 @default.
- W2079188092 creator A5044244037 @default.
- W2079188092 date "2013-08-01" @default.
- W2079188092 modified "2023-10-14" @default.
- W2079188092 title "An empirical study of tests for uniformity in multidimensional data" @default.
- W2079188092 cites W1800519929 @default.
- W2079188092 cites W1964724001 @default.
- W2079188092 cites W1972571116 @default.
- W2079188092 cites W1982258841 @default.
- W2079188092 cites W1983404401 @default.
- W2079188092 cites W1996075091 @default.
- W2079188092 cites W2004383711 @default.
- W2079188092 cites W2009789458 @default.
- W2079188092 cites W2014068360 @default.
- W2079188092 cites W2027361823 @default.
- W2079188092 cites W2029565994 @default.
- W2079188092 cites W2042572314 @default.
- W2079188092 cites W2045668838 @default.
- W2079188092 cites W2051907667 @default.
- W2079188092 cites W2052211901 @default.
- W2079188092 cites W2073005712 @default.
- W2079188092 cites W2075839890 @default.
- W2079188092 cites W2082612735 @default.
- W2079188092 cites W2102890685 @default.
- W2079188092 cites W2153504150 @default.
- W2079188092 cites W2163035440 @default.
- W2079188092 cites W2510188371 @default.
- W2079188092 cites W3083412144 @default.
- W2079188092 doi "https://doi.org/10.1016/j.csda.2013.02.013" @default.
- W2079188092 hasPublicationYear "2013" @default.
- W2079188092 type Work @default.
- W2079188092 sameAs 2079188092 @default.
- W2079188092 citedByCount "16" @default.
- W2079188092 countsByYear W20791880922014 @default.
- W2079188092 countsByYear W20791880922015 @default.
- W2079188092 countsByYear W20791880922016 @default.
- W2079188092 countsByYear W20791880922017 @default.
- W2079188092 countsByYear W20791880922018 @default.
- W2079188092 countsByYear W20791880922020 @default.
- W2079188092 countsByYear W20791880922021 @default.
- W2079188092 countsByYear W20791880922022 @default.
- W2079188092 crossrefType "journal-article" @default.
- W2079188092 hasAuthorship W2079188092A5014716596 @default.
- W2079188092 hasAuthorship W2079188092A5044244037 @default.
- W2079188092 hasConcept C105795698 @default.
- W2079188092 hasConcept C11413529 @default.
- W2079188092 hasConcept C125112378 @default.
- W2079188092 hasConcept C129045301 @default.
- W2079188092 hasConcept C129848803 @default.
- W2079188092 hasConcept C161584116 @default.
- W2079188092 hasConcept C199360897 @default.
- W2079188092 hasConcept C2777735758 @default.
- W2079188092 hasConcept C31258907 @default.
- W2079188092 hasConcept C33923547 @default.
- W2079188092 hasConcept C41008148 @default.
- W2079188092 hasConcept C87007009 @default.
- W2079188092 hasConcept C89128539 @default.
- W2079188092 hasConceptScore W2079188092C105795698 @default.
- W2079188092 hasConceptScore W2079188092C11413529 @default.
- W2079188092 hasConceptScore W2079188092C125112378 @default.
- W2079188092 hasConceptScore W2079188092C129045301 @default.
- W2079188092 hasConceptScore W2079188092C129848803 @default.
- W2079188092 hasConceptScore W2079188092C161584116 @default.
- W2079188092 hasConceptScore W2079188092C199360897 @default.
- W2079188092 hasConceptScore W2079188092C2777735758 @default.
- W2079188092 hasConceptScore W2079188092C31258907 @default.
- W2079188092 hasConceptScore W2079188092C33923547 @default.
- W2079188092 hasConceptScore W2079188092C41008148 @default.
- W2079188092 hasConceptScore W2079188092C87007009 @default.
- W2079188092 hasConceptScore W2079188092C89128539 @default.
- W2079188092 hasLocation W20791880921 @default.
- W2079188092 hasOpenAccess W2079188092 @default.
- W2079188092 hasPrimaryLocation W20791880921 @default.
- W2079188092 hasRelatedWork W1966190334 @default.
- W2079188092 hasRelatedWork W1987208043 @default.
- W2079188092 hasRelatedWork W2079009800 @default.
- W2079188092 hasRelatedWork W2085207195 @default.
- W2079188092 hasRelatedWork W2295181497 @default.
- W2079188092 hasRelatedWork W2898570659 @default.
- W2079188092 hasRelatedWork W330318207 @default.
- W2079188092 hasRelatedWork W4230703017 @default.
- W2079188092 hasRelatedWork W4287093458 @default.
- W2079188092 hasRelatedWork W4382599617 @default.
- W2079188092 hasVolume "64" @default.
- W2079188092 isParatext "false" @default.
- W2079188092 isRetracted "false" @default.
- W2079188092 magId "2079188092" @default.
- W2079188092 workType "article" @default.