Zobrazeno 1 - 10
of 37
pro vyhledávání: '"B. Bernholtz"'
Autor:
B. Bernholtz, J. P. Rives
Publikováno v:
International Journal of Production Research. 15:423-437
Amongst the types of problem faced by production managers in a wide variety of Canadian industries, those concerned with growth and change are encountered frequently and are especially severe in small firms. This paper proposes and tests the hypothes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9310844b433ecc913638feb9a90906a1
https://doi.org/10.1080/00207547708943141
https://doi.org/10.1080/00207547708943141
Autor:
Peter Tan, B. Bernholtz
Publikováno v:
Communications in Statistics - Theory and Methods. 5:1245-1256
Structural inference as a method of statistical analysis seems to have escaped the attention of many statisticians. This paper focuses on Fraser’s necessary analysis of structural models as a tool to derive classical distribution results. A structu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae146564d190130ee82e7d1d71222417
https://doi.org/10.1080/03610927608827439
https://doi.org/10.1080/03610927608827439
Publikováno v:
American Journal of Epidemiology. 103:51-59
A total of 11,460 women in the first 4 months of pregnancy, either exposed to or with suspected clinical rubella were tested for rubella antibody during an extensive epidemic of this disease in 1972. The proportion of women who were seronegative decr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db966e857c646a2eeb07d4652647dca3
https://doi.org/10.1093/oxfordjournals.aje.a112204
https://doi.org/10.1093/oxfordjournals.aje.a112204
Autor:
B. Bernholtz
Publikováno v:
Statistische Hefte. 18:2-12
Statistical inference from Type I censored data is generally difficult because the number of observations is a random variable. In this paper, some of the concepts of D. A. S. Fraser’s theory of structural inference are applied to develop helpful i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccf5dda2182399088d380ad10d06ab57
https://doi.org/10.1007/bf02932901
https://doi.org/10.1007/bf02932901
Autor:
B. Bernholtz, L. J. Graham
Publikováno v:
IEEE Transactions on Power Apparatus and Systems. 82:249-255
The theory of monotonic scheduling is extended to hydrothermal systems with interconnections to adjoining power systems. The exposition is limited to the two most common types of interconnection arrangements, although the methods can be applied to ot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d8462e7e5c6ba8c9726dd1875d85d89
https://doi.org/10.1109/tpas.1963.291349
https://doi.org/10.1109/tpas.1963.291349
Autor:
B. Bernholtz, M. Posner
Publikováno v:
Operations Research. 16:977-985
The authors have previously investigated a broad class of closed, finite queuing networks with time lags, in which all units were considered to be identical. In this paper, that work is extended to the treatment of systems having several classes of u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73eef55a025723f336b20f01545e0734
https://doi.org/10.1287/opre.16.5.977
https://doi.org/10.1287/opre.16.5.977
Autor:
B. Bernholtz, K.V. Bury
Publikováno v:
INFOR: Information Systems and Operational Research. 9:23-31
Structural inference theory considerably strengthens statistical inferences in that this theory develops the unique probability density function of the parameters of a certainclass of statistical measurement models. To obtain this result, hitherto un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7bcd58b647166741c09b7d19e646b01
https://doi.org/10.1080/03155986.1971.11731457
https://doi.org/10.1080/03155986.1971.11731457
Autor:
B. Bernholtz, K. V. Bury
Publikováno v:
Statistische Hefte. 12:177-192
The method ofstructural inference permits the construction of unique probability density functions for the parameters of a general location-scale distribution; these densities are only conditional on a sample of observations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e590b4bf8ae2841e6401c7b626cdff07
https://doi.org/10.1007/bf02923563
https://doi.org/10.1007/bf02923563
Autor:
K.V. Bury, B. Bernholtz
Publikováno v:
INFOR: Information Systems and Operational Research. 9:148-160
Structural inference theory develops the unique probability density function for the parameter of a scale model. This density constitutes a strong basis for statistical inference because no information is required beyond that provided by the classica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a642555a5a6fc385836f38d83e748290
https://doi.org/10.1080/03155986.1971.11731471
https://doi.org/10.1080/03155986.1971.11731471
Autor:
B. Bernholtz, L. J. Graham
Publikováno v:
Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems. 79:921-929
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce19e0a5eeba73afd4301fba3e5865b0
https://doi.org/10.1109/aieepas.1960.4500882
https://doi.org/10.1109/aieepas.1960.4500882