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pro vyhledávání: '"Daniel A. Griffith"'
Autor:
Daniel A. Griffith
Publikováno v:
AppliedMath, Vol 4, Iss 2, Pp 731-742 (2024)
This paper describes various selected properties and features of negative binomial (NB) random variables, with special reference to NB2 (i.e., p = 2), and some generalizations to NBp (i.e., p ≥ 2), specifications. It presents new results (e.g., the
Externí odkaz:
https://doaj.org/article/70cb8777ead74715be1a630ca43cc345
Autor:
Daniel A. Griffith
Publikováno v:
Stats, Vol 7, Iss 1, Pp 269-283 (2024)
For decades, conventional wisdom maintained that binary 0–1 Bernoulli random variables cannot contain extra-binomial variation. Taking an unorthodox stance, Hilbe actively disagreed, especially for correlated observation instances, arguing that the
Externí odkaz:
https://doaj.org/article/9886b022de5d4c8d98263273fe7b7475
Autor:
Daniel A. Griffith
Publikováno v:
AppliedMath, Vol 3, Iss 4, Pp 771-798 (2023)
Two linear algebra problems implore a solution to them, creating the themes pursued in this paper. The first problem interfaces with graph theory via binary 0-1 adjacency matrices and their Laplacian counterparts. More contemporary spatial statistics
Externí odkaz:
https://doaj.org/article/dd758e81cee54dad94fa34caad3ff9c7
Autor:
Daniel A. Griffith
Publikováno v:
Frontiers in Sustainable Cities, Vol 6 (2024)
Externí odkaz:
https://doaj.org/article/6daa4c5f6c6147998601e9586dc0bedc
Autor:
Daniel A. Griffith
Publikováno v:
Geographies, Vol 3, Iss 3, Pp 543-562 (2023)
An enumeration of spatial autocorrelation’s (SA’s) polyvalent forms occurred nearly three decades ago. Attempts to conceive and disseminate a clearer explanation of it employ metaphors seeking to better relate SA to a student’s or spatial scien
Externí odkaz:
https://doaj.org/article/e238c1e9fd7e480dae54f5789ff444bf
Autor:
Daniel A. Griffith, Richard E. Plant
Publikováno v:
Stats, Vol 5, Iss 4, Pp 1334-1353 (2022)
Fundamental to most classical data collection sampling theory development is the random drawings assumption requiring that each targeted population member has a known sample selection (i.e., inclusion) probability. Frequently, however, unrestricted r
Externí odkaz:
https://doaj.org/article/5aee874984b745669f381fa5d88dc600
Autor:
Daniel A. Griffith
Publikováno v:
Stats, Vol 5, Iss 4, Pp 1097-1112 (2022)
Matrix/linear algebra continues bestowing benefits on theoretical and applied statistics, a practice it began decades ago (re Fisher used the word matrix in a 1941 publication), through a myriad of contributions, from recognition of a suite of matrix
Externí odkaz:
https://doaj.org/article/c02991afaf5f4894875d9b4cc3828ed7
Autor:
Daniel A. Griffith
Publikováno v:
Stats, Vol 5, Iss 3, Pp 714-737 (2022)
Variable transformations have a long and celebrated history in statistics, one that was rather academically glamorous at least until generalized linear models theory eclipsed their nurturing normal curve theory role. Still, today it continues to be a
Externí odkaz:
https://doaj.org/article/b7e9c2bbd1764d90a03f74c81653a42e
Autor:
Bin Li, Daniel A. Griffith
Publikováno v:
Annals of GIS, Vol 28, Iss 1, Pp 69-83 (2022)
Geoinformatic Tupu, or Geoinformatic graph spectrum, is a theoretical as well as a technical framework for generalizing geographic knowledge and solving real world problems. Geoinformatic Tupu is a promising platform for capitalizing on the technical
Externí odkaz:
https://doaj.org/article/7f7cb98ab272429f8b00df21fe509461
Autor:
Daniel A. Griffith
Publikováno v:
Stats, Vol 4, Iss 4, Pp 850-867 (2021)
Both historically and in terms of practiced academic organization, the anticipation should be that a flourishing synergistic interface exists between statistics and operations research in general, and between spatial statistics/econometrics and spati
Externí odkaz:
https://doaj.org/article/388cbeaa28514a2ab908c6d9dad66bd9