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pro vyhledávání: '"J.S Cramer"'
Publikováno v:
Proceedings of the Water Environment Federation. 2017:2821-2837
Publikováno v:
Proceedings of the Water Environment Federation. 2015:719-741
Autor:
J.S. Cramer
Publikováno v:
Studies in History and Philosophy of Biological and Biomedical Sciences, 35, 613-626. Elsevier
This paper describes the origins of the logistic function and its history up to its adoption in bio-assay and the beginning of its wider acceptance in statistics, ca. 1950. The function was probably first invented in 1838 to describe population growt
Autor:
J.S. Cramer
This technical note consists of three parts. The first describes theorigins of the Brabant data set, the later surveys and the mortalitydata. The second section discusses the variation of mortality rateswith age in the population and in the sample. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b2d3160a8b48ac4d8a43987186d17436
http://papers.tinbergen.nl/11098.pdf
http://papers.tinbergen.nl/11098.pdf
Autor:
J.S. Cramer
In binary discrete regression models like logit or probit the omis-sion of a relevant regressor (even if it is orthogonal) depresses the re-maining b coefficients towards zero. For the probit model, Wooldridge(2002) has shown that this bias does not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a75689cbd4042ad8affab9081a462a83
http://papers.tinbergen.nl/05084.pdf
http://papers.tinbergen.nl/05084.pdf
Autor:
J.S. Cramer
This paper describes the origins of the logistic function, its adoption in bio-assay, and its wider acceptance in statistics. Its roots spread far back to the early 19th century; the survival of the term logistic and the wide application of the devic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d76459641932819170138406ab3abbe5
http://papers.tinbergen.nl/02119.pdf
http://papers.tinbergen.nl/02119.pdf
Autor:
J.S. Cramer
In a discrete model, the predicted probabilities of a particular eventcan be matched to the observed (0, I) outcomes and this will give riseto a measure of fit for that event. Previous results for the binomialmodel are applied to multinomial models.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5547e31c9c3a11014aeb76ed8d2fd43d
http://papers.tinbergen.nl/01082.pdf
http://papers.tinbergen.nl/01082.pdf
Publikováno v:
SSRN Electronic Journal.
Entrepreneurship is historically associated with risk bearing. Consequently, risk attitude is widely believed to affect the selection of individuals into entrepreneurial positions. The data used in our empirical analysis support the supposedly negati
Autor:
J.S. Cramer
The discrete outcome of a probability model is recordedas Y(i)=1 while otherwise Y(i)=0. y is the vector of observedoutcomes, p the corresponding probabilities, p^a consistent estimate of p, and residuals are defined ase = y - p^. Under quite general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::85bebecf4709eb34fef51eaa1badcb77
http://papers.tinbergen.nl/00006.pdf
http://papers.tinbergen.nl/00006.pdf
Autor:
J.S. Cramer
In a binary logit analysis with unequal sample frequencies of the twooutcomes the less frequent outcome always has lower estimatedprediction probabilities than the other one. This effect is unavoidable,and its extent varies inversely with the fit of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::32dea06dd3ba4e046d377f1fccb23123
http://papers.tinbergen.nl/98085.pdf
http://papers.tinbergen.nl/98085.pdf