Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Pi-Erh Lin"'
Autor:
Pi-Erh Lin1, Stivers, Lawrence E.2
Publikováno v:
Journal of the American Statistical Association. Mar1975, Vol. 70 Issue 349, p190. 4p.
Autor:
Pi-Erh Lin1
Publikováno v:
Journal of the American Statistical Association. Sep73, Vol. 68 Issue 343, p699. 5p.
Autor:
Ahmad, I., Pi-Erh Lin
Publikováno v:
IEEE Transactions on Information Theory; 1976, Vol. 22 Issue 3, p372-375, 4p
Autor:
Lawrence E. Stivers, Pi-Erh Lin
Publikováno v:
Journal of the American Statistical Association. 70:190-193
This article is concerned with the relative merit of the procedures proposed by Lin [2], Metha and Gurland [3], and Morrison [5] for testing the equality of means of a bivariate normal distribution with correlation ρ and common variance σ2 when som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f87df0f96113ae659055fabbbe2c70b5
https://doi.org/10.1080/01621459.1975.10480286
https://doi.org/10.1080/01621459.1975.10480286
Autor:
Kuang-Fu Cheng, Pi-Erh Lin
Publikováno v:
Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete. 57:223-233
Consider the regression model Yi*=g(xi*)+ei*, i=1,2,...,n, where xi*'s denote unordered design variables, and g is an unknown function defined on the interval [0,1]. Assume {ei*} are iid random variables with zero mean and finite variance. Priestley
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56c9956750bd211982d187db7a87866a
https://doi.org/10.1007/bf00535491
https://doi.org/10.1007/bf00535491
Autor:
Pi-Erh Lin, Ibrahim A. Ahmad
Publikováno v:
Bulletin of Mathematical Statistics. 17:63-75
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed430b9149556c28359dda863fc9b464
https://doi.org/10.5109/13104
https://doi.org/10.5109/13104
Autor:
Pi-Erh Lin, Lawrence E. Stivers
Publikováno v:
Biometrika. 61:325-334
SUMMARY An estimate of the difference of means is obtained when sampling from a bivariate normal distribution with variances o-2 and o- and correlation p, where some observations on either of the variables are missing. It is shown that this estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2e13f1d34e1caec744703a8a741cebb
https://doi.org/10.1093/biomet/61.2.325
https://doi.org/10.1093/biomet/61.2.325
Autor:
Pi-Erh Lin, Ibrahim A. Ahmad
Publikováno v:
Journal of Statistical Planning and Inference. 9:163-176
Consider the p-dimensional unit cube [0,1]p, p≥1. Partition [0, 1]p into n regions, R1,n,…,Rn,n such that the volume Δ(Rj,n) is of order n −1,j=1,…,n. Select and fix a point in each of these regions so that we have x(n)1,…,x(n)n. Suppose t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e38fa8d30ad02c82fbedaf7653e32d
https://doi.org/10.1016/0378-3758(84)90017-x
https://doi.org/10.1016/0378-3758(84)90017-x
Autor:
Erwin P. Bodo, Pi-Erh Lin
Publikováno v:
British Journal of Mathematical and Statistical Psychology. 28:157-166
Consider a multiple regression problem in which the dependent and (three or more) independent variables have a joint normal distribution with unknown mean vector and unknown covariance matrix. Relative to a loss function depending on the statistical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e135de3544ea77ddc3049a1fc0ab37d2
https://doi.org/10.1111/j.2044-8317.1975.tb00560.x
https://doi.org/10.1111/j.2044-8317.1975.tb00560.x
Autor:
Pi-Erh Lin, Ibrahim A. Ahmad
Publikováno v:
IEEE Transactions on Information Theory. 22:372-375
Let F(x) be an absolutely continuous distribution having a density function f(x) with respect to the Lebesgue measure. The Shannon entropy is defined as H(f) = -\int f(x) \ln f(x) dx . In this correspondence we propose, based on a random sample X_{1}
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11a5333444c0aef31d4bed5f880075fa
https://doi.org/10.1109/tit.1976.1055550
https://doi.org/10.1109/tit.1976.1055550