Zobrazeno 1 - 10
of 11
pro vyhledávání: '"John B. Ofosu"'
Publikováno v:
Research Journal of Mathematics and Statistics. 8:1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6415f3630df7d6c7d32bf596fb49421
https://doi.org/10.19026/rjms.8.2827
https://doi.org/10.19026/rjms.8.2827
Autor:
Christian A. Hesse, John B. Ofosu
Publikováno v:
Research Journal of Mathematics and Statistics. 7:53-59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::267448e5a16d3f98e3ea11d2d1832eb2
https://doi.org/10.19026/rjms.7.2207
https://doi.org/10.19026/rjms.7.2207
Publikováno v:
International Journal of Statistics and Probability. 5:121
Smeed (1949) provided a regression model for estimating road traffic fatalities (RTFs). In this paper, a modified form of Smeed’s (1949) model is proposed for which it is shown that the multiplicative error term is less than that of Smeed’s origi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c35217d641fdf9a85bc71d5ade286e3
https://doi.org/10.5539/ijsp.v5n6p121
https://doi.org/10.5539/ijsp.v5n6p121
Publikováno v:
International Journal of Statistics and Probability. 5:111
In this paper, data on road traffic casualties by age groups, from 2009 to 2013, will be used. Using published road traffic casualty statistics from the National Road Safety Commission of Ghana, a 2 ´ 8 contingency table is used to determine whether
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::361e698e32f2d70cdd20bc5952e82e1e
https://doi.org/10.5539/ijsp.v5n4p111
https://doi.org/10.5539/ijsp.v5n4p111
Publikováno v:
Accident Analysis & Prevention. 20:95-101
In Saudi Arabia, with its rapid expansion of road construction and increase in the number of vehicles, road traffic accidents are becoming a serious public health problem. The object of this paper is to discuss the magnitude of this problem and to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2717af42a4cfbde9db8ee529855437ca
https://doi.org/10.1016/0001-4575(88)90024-3
https://doi.org/10.1016/0001-4575(88)90024-3
Autor:
John B. Ofosu
Publikováno v:
Calcutta Statistical Association Bulletin. 24:43-52
A Bayesian single sample solution to the problem of selecting the largest of k normal means is given. The solution appears robust with respect to variations in the prior distribution and parameters of the model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef4f246ddb3069da312c814a1e8442a8
https://doi.org/10.1177/0008068319750105
https://doi.org/10.1177/0008068319750105
Autor:
John B. Ofosu
Publikováno v:
Bulletin of Mathematical Statistics. 16(3/4):7-18
The problem of selecting a subset of fixed size $ s $ which includes the $ t $ best of $ k $ populations $ (t leqq s < k) $, based on a pre-determined sample size $ n $ from each of the $ k $ populations, is studied as a multiple decision problem. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c623417d76215309683fc64a93f074cb
http://hdl.handle.net/2324/13090
http://hdl.handle.net/2324/13090
Autor:
John B. Ofosu
Publikováno v:
Journal of the American Statistical Association. 70:171-174
Given k normal populations with unknown variances and known or unknown means, suppose we wish to select N individuals in two stages as follows: in the first stage, n individuals are selected from each of the k populations; in the second stage, the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b3b1142a5c9a234b717c23a346c0973
https://doi.org/10.1080/01621459.1975.10480281
https://doi.org/10.1080/01621459.1975.10480281
Autor:
John B. Ofosu
Publikováno v:
Calcutta Statistical Association Bulletin. 21:143-154
Summary A MINIMAX procedure is given for selecting the population with the largest scale parameter from k gamma populations with unknown scale parameters and a common known shape parameter. The main results are applied to the scale parameter problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::580d57e915b41b6f771242ca7050d509
https://doi.org/10.1177/0008068319720304
https://doi.org/10.1177/0008068319720304
Autor:
John B. Ofosu
Publikováno v:
Biometrika. 60:117-124
SUMMARY This paper gives a two-sample procedure for selecting the population with the largest mean from k normal populations with unknown variances. The method is based on a twosample procedure proposed by Stein (1945). Tables necessary for the appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4797cf6fa1984adafe2979c31a28ad90
https://doi.org/10.1093/biomet/60.1.117
https://doi.org/10.1093/biomet/60.1.117