Zobrazeno 1 - 10
of 26
pro vyhledávání: '"G. P. Beaumont"'
Autor:
G P Beaumont
This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical
Publikováno v:
The American Statistician. 51:297
Review of standard distributions introducing statistical models estimation testing hypotheses tests based on the binomial distribution tests based on the hypergrometric distribution distribution-free correlation coefficients least-square methods hypo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0541ac1f6cb9ca77107d832d670c093
https://doi.org/10.2307/2684914
https://doi.org/10.2307/2684914
Autor:
G. P. Beaumont, C. H. Garrido
Publikováno v:
American Industrial Hygiene Association Journal. 40:883-887
NIOSH approves organic vapor respirator cartridges based upon testing against 1000 parts per million carbon tetrachloride vapors. Data for other organic vapors are necessary for proper use of organic vapor cartridge respirators against those vapors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::250341d2212f683e762c353fb69b4cea
https://doi.org/10.1080/15298667991430442
https://doi.org/10.1080/15298667991430442
Autor:
G. P. Beaumont
Publikováno v:
Intermediate Mathematical Statistics ISBN: 9780412154805
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c0238e8bb78f12e1f8db3ea507cf4c7
https://doi.org/10.1007/978-94-009-5794-7_1
https://doi.org/10.1007/978-94-009-5794-7_1
Autor:
G. P. Beaumont
Publikováno v:
Intermediate Mathematical Statistics ISBN: 9780412154805
The most general situation so far has been testing θ ≤ θ0 against θ> θ0. We next wish to consider testing θ1≤θ≤θ2 against the two-sided alternative θ θ2. We can scarcely hope for a uniformly most powerful test for it would have to comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff6a93ad1a6299ec0a74544742ae03e2
https://doi.org/10.1007/978-94-009-5794-7_7
https://doi.org/10.1007/978-94-009-5794-7_7
Autor:
G. P. Beaumont
Publikováno v:
Intermediate Mathematical Statistics ISBN: 9780412154805
The practical man may entertain some misgivings about the methods discussed in the last two chapters. Bayesian point estimation appears to be very flexible, but if there is no secure basis for a particular prior distribution and only a sketchy idea o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eea9eff8ca54fb57f91c777ed2d0870a
https://doi.org/10.1007/978-94-009-5794-7_5
https://doi.org/10.1007/978-94-009-5794-7_5
Autor:
G. P. Beaumont
Publikováno v:
Intermediate Mathematical Statistics ISBN: 9780412154805
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a194c4cc95f871a414f9bdac4bc935c5
https://doi.org/10.1007/978-94-009-5794-7_2
https://doi.org/10.1007/978-94-009-5794-7_2
Autor:
G. P. Beaumont
Publikováno v:
Intermediate Mathematical Statistics ISBN: 9780412154805
Considerable effort has gone into the study of minimum variance unbiased estimators, though it has been complained that the search for such ‘paragons’ has been largely misguided. In particular instances, such estimators may have unacceptable, not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdf597a76ba3ec53839a36a4d913cb18
https://doi.org/10.1007/978-94-009-5794-7_4
https://doi.org/10.1007/978-94-009-5794-7_4