DS-optimal designs for random coefficient first-degree regression model with heteroscedastic errors

被引：2

作者：

Wilk, M. ^{[1
,2
]}

Zaigraev, A. ^{[1
]}

机构：

[1] Nicolaus Copernicus Univ, Fac Math & Comp Sci, Ul Chopina 12-18, PL-87100 Torun, Poland

[2] Polish Acad Sci, Inst Psychol, Ul Jaracza 1, PL-00378 Warsaw, Poland

来源：

STATISTICS & PROBABILITY LETTERS | 2017年 / 128卷

关键词：

DS-optimal design; Heteroscedastic errors; FCR model; RCR model; LINEAR-MODELS; CRITERION;

D O I：

10.1016/j.spl.2017.04.016

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Optimal design problems for random coefficient regression model with heteroscedastic errors are considered. Under continuous design setting, conditions for existence of 2-point design that is as good as a given k-point design and for existence of DS-optimal design are established. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：28 / 34

页数：7

共 32 条

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