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pro vyhledávání: '"Christopher J. Casement"'
Publikováno v:
Journal of Statistics and Data Science Education, Vol 32, Iss 1, Pp 36-46 (2024)
AbstractAs the use of data in courses that incorporate statistical methods has become more prevalent, so has the need for tools for working with such data, including those for data creation and adjustment. While numerous tools exist that support facu
Externí odkaz:
https://doaj.org/article/22ce6419ed3c4bacbbbf2c7226c3ae72
Publikováno v:
Journal of Statistics and Data Science Education. :1-11
Publikováno v:
Technology Innovations in Statistics Education, vol 14, iss 1
Many inferential and predictive statistical procedures possess underlying theoretical assumptions that should be met in order for the results of those procedures to be considered reliable. One assumption associated with methods for population means,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc47e8fb0fc4480e5265e19f9d97b11b
https://escholarship.org/uc/item/4k95g5j0
https://escholarship.org/uc/item/4k95g5j0
Autor:
Christopher J. Casement, David Kahle
Publikováno v:
Communications in Statistics - Simulation and Computation. 47:2906-2924
Standard prior elicitation procedures require experts to explicitly quantify their beliefs about parameters in the form of multiple summaries. In this article, we draw on recent advances in the statistical graphics and information visualization commu