FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3197173810> ?p ?o ?g. }

• W3197173810 endingPage "104813" @default.
• W3197173810 startingPage "104813" @default.
• W3197173810 abstract "Testing high-dimensional means has many applications in scientific research. For instance, it is of great interest to test whether there is a difference of gene expressions between control and treatment groups in genetic studies. This can be formulated as a two-sample mean testing problem. However, the Hotelling T2 test statistic for the two-sample mean problem is no longer well defined due to singularity of the sample covariance matrix when the sample size is less than the dimension of data. Over the last two decades, the high-dimensional mean testing problem has received considerable attentions in the literature. This paper provides a selective overview of existing testing procedures in the literature. We focus on the motivation of the testing procedures, the insights into how to construct the test statistics and the connections, and comparisons of different methods." @default.
• W3197173810 created "2021-09-13" @default.
• W3197173810 creator A5041344728 @default.
• W3197173810 creator A5059723521 @default.
• W3197173810 creator A5070644871 @default.
• W3197173810 creator A5084711982 @default.
• W3197173810 date "2022-03-01" @default.
• W3197173810 modified "2023-10-15" @default.
• W3197173810 title "An overview of tests on high-dimensional means" @default.
• W3197173810 cites W1965019479 @default.
• W3197173810 cites W1976889927 @default.
• W3197173810 cites W1986818650 @default.
• W3197173810 cites W2022771765 @default.
• W3197173810 cites W2035107197 @default.
• W3197173810 cites W2050498681 @default.
• W3197173810 cites W2050811968 @default.
• W3197173810 cites W2060266443 @default.
• W3197173810 cites W2062408248 @default.
• W3197173810 cites W2069119359 @default.
• W3197173810 cites W2074682976 @default.
• W3197173810 cites W2081874429 @default.
• W3197173810 cites W2088292398 @default.
• W3197173810 cites W2100052115 @default.
• W3197173810 cites W2100980426 @default.
• W3197173810 cites W2127886488 @default.
• W3197173810 cites W2143364091 @default.
• W3197173810 cites W2169553565 @default.
• W3197173810 cites W2204774351 @default.
• W3197173810 cites W2320488883 @default.
• W3197173810 cites W2331897191 @default.
• W3197173810 cites W2344426194 @default.
• W3197173810 cites W2413573154 @default.
• W3197173810 cites W2511041448 @default.
• W3197173810 cites W2767345197 @default.
• W3197173810 cites W2793831261 @default.
• W3197173810 cites W2913457918 @default.
• W3197173810 cites W2938490590 @default.
• W3197173810 cites W2962854806 @default.
• W3197173810 cites W2964331163 @default.
• W3197173810 cites W2966650337 @default.
• W3197173810 cites W3011557660 @default.
• W3197173810 cites W3042820579 @default.
• W3197173810 cites W3043189495 @default.
• W3197173810 cites W3105628576 @default.
• W3197173810 cites W3111931804 @default.
• W3197173810 cites W3126577372 @default.
• W3197173810 cites W370139237 @default.
• W3197173810 cites W4230065791 @default.
• W3197173810 cites W4251742697 @default.
• W3197173810 doi "https://doi.org/10.1016/j.jmva.2021.104813" @default.
• W3197173810 hasPublicationYear "2022" @default.
• W3197173810 type Work @default.
• W3197173810 sameAs 3197173810 @default.
• W3197173810 citedByCount "4" @default.
• W3197173810 countsByYear W31971738102022 @default.
• W3197173810 countsByYear W31971738102023 @default.
• W3197173810 crossrefType "journal-article" @default.
• W3197173810 hasAuthorship W3197173810A5041344728 @default.
• W3197173810 hasAuthorship W3197173810A5059723521 @default.
• W3197173810 hasAuthorship W3197173810A5070644871 @default.
• W3197173810 hasAuthorship W3197173810A5084711982 @default.
• W3197173810 hasBestOaLocation W31971738101 @default.
• W3197173810 hasConcept C105795698 @default.
• W3197173810 hasConcept C114614502 @default.
• W3197173810 hasConcept C129848803 @default.
• W3197173810 hasConcept C151730666 @default.
• W3197173810 hasConcept C169857963 @default.
• W3197173810 hasConcept C183905921 @default.
• W3197173810 hasConcept C185142706 @default.
• W3197173810 hasConcept C185592680 @default.
• W3197173810 hasConcept C198531522 @default.
• W3197173810 hasConcept C199360897 @default.
• W3197173810 hasConcept C2777267654 @default.
• W3197173810 hasConcept C2780801425 @default.
• W3197173810 hasConcept C33676613 @default.
• W3197173810 hasConcept C33923547 @default.
• W3197173810 hasConcept C41008148 @default.
• W3197173810 hasConcept C43617362 @default.
• W3197173810 hasConcept C86803240 @default.
• W3197173810 hasConcept C87007009 @default.
• W3197173810 hasConcept C89128539 @default.
• W3197173810 hasConceptScore W3197173810C105795698 @default.
• W3197173810 hasConceptScore W3197173810C114614502 @default.
• W3197173810 hasConceptScore W3197173810C129848803 @default.
• W3197173810 hasConceptScore W3197173810C151730666 @default.
• W3197173810 hasConceptScore W3197173810C169857963 @default.
• W3197173810 hasConceptScore W3197173810C183905921 @default.
• W3197173810 hasConceptScore W3197173810C185142706 @default.
• W3197173810 hasConceptScore W3197173810C185592680 @default.
• W3197173810 hasConceptScore W3197173810C198531522 @default.
• W3197173810 hasConceptScore W3197173810C199360897 @default.
• W3197173810 hasConceptScore W3197173810C2777267654 @default.
• W3197173810 hasConceptScore W3197173810C2780801425 @default.
• W3197173810 hasConceptScore W3197173810C33676613 @default.
• W3197173810 hasConceptScore W3197173810C33923547 @default.
• W3197173810 hasConceptScore W3197173810C41008148 @default.
• W3197173810 hasConceptScore W3197173810C43617362 @default.
• W3197173810 hasConceptScore W3197173810C86803240 @default.

• next