Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sollie Millard"'
Publikováno v:
Southern African Business Review.
Background: In search of more entrepreneurs for economic development, academics and policy makers are continuously seeking ways in which the participation of potential entrepreneurs in the economy can be enhanced. Purpose: This study investigates whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::447d5f2c5d9ca71b798345aee439cd5a
https://doi.org/10.25159/1998-8125/11588
https://doi.org/10.25159/1998-8125/11588
Autor:
Sollie Millard, Frans Kanfer
Publikováno v:
Symmetry; Volume 14; Issue 2; Pages: 409
The mixture of generalised linear models (MGLM) requires knowledge about each mixture component’s specific exponential family (EF) distribution. This assumption is relaxed and a mixture of semi-parametric generalised linear models (MSPGLM) approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65880b0e3162671334fd85da3c59f1f2
Autor:
Sollie Millard
Publikováno v:
ORION. 38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d40c8aee9aef2b5b911e45d9a8994c6e
https://doi.org/10.5784/38-1-733
https://doi.org/10.5784/38-1-733
Autor:
Frans Kanfer, Sollie Millard
Publikováno v:
South African Statistical Journal. 51
In this paper we propose the beta slashed generalised half-normal distribution, which includes some important distributions such as the half-normal, slashed half-normal and generalised slashed half-normal distributions. Explicit expressions for the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc5558f6de9c6b7c06205506471f344f
https://doi.org/10.37920/sasj.2017.51.2.6
https://doi.org/10.37920/sasj.2017.51.2.6
Publikováno v:
Mathematics
Volume 11
Issue 5
Pages: 1087
Volume 11
Issue 5
Pages: 1087
Semi- and non-parametric mixture of normal regression models are a flexible class of mixture of regression models. These models assume that the component mixing proportions, regression functions and/or variances are non-parametric functions of the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d4e6f25717c2f0cac2d8d6e4fea586
https://doi.org/10.3390/math11051087
https://doi.org/10.3390/math11051087
Publikováno v:
Symmetry; Volume 14; Issue 5; Pages: 1058
The non-parametric Gaussian mixture of regressions (NPGMRs) model serves as a flexible approach for the determination of latent heterogeneous regression relationships. This model assumes that the component means, variances and mixing proportions are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f093c420d0b406d51f92245ad082b7ea
https://doi.org/10.3390/sym14051058
https://doi.org/10.3390/sym14051058