ISOTONIC REGRESSION IN TWO INDEPENDENT VARIABLES UNDER UMBRELLA ORDERINGS
-
- Geng Zhi
- Department of Probability and Statistics, Peking University
-
- Shi Ning-Zhong
- Department of Mathmatics, Northeast Normal University
この論文をさがす
抄録
This paper proposes two FORTRAN algorithms, namely UMBR and UUMBR, for computing isotonic regression in two independent variables under an umbrella order for the peak of the umbrella being known and unknown respectively. They extend Geng and Shi (1990)'s algorithm AS 257, which only considered the one-dimensional case; and they also generalize Bril et al. (1984)'s algorithm AS 206, which only studied the two-dimensional simple order. The two algorithms presented here can be also used to compute the maximum likelihood estimator of normal means under two-dimensional umbrella order restrictions.
収録刊行物
-
- Journal of the Japanese Society of Computational Statistics
-
Journal of the Japanese Society of Computational Statistics 4 (1), 49-61, 1991-12
日本計算機統計学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1573387451721440768
-
- NII論文ID
- 110001235585
-
- NII書誌ID
- AA10823693
-
- ISSN
- 09152350
-
- 本文言語コード
- en
-
- データソース種別
-
- CiNii Articles