Ӧ�ø���ͳ�� 2010, 26(3) 287-298 DOI:      ISSN: 1001-4268 CN: 31-1256

����Ŀ¼ | ����Ŀ¼ | ������� | �߼�����                                                            [��ӡ��ҳ]   [�ر�]
ѧ������
��չ����
������Ϣ
Supporting info
PDF(254KB)
[HTMLȫ��]
�����[PDF]
�����
�����뷴��
�ѱ����Ƽ�������
�����ҵ����
�������ù�����
����
Email Alert
���Ĺؼ����������
��Ԫ�ظ�����ģ��
�������
ƽ�����
������Ȼ�ȼ���
���������������
PubMed
ƽ����ƶ�������Ԫ�ظ�����ģ�͵�Wilks����
������
֣�ݴ�ѧϵͳ��ѧ����ѧϵ
ժҪ��

��ƽ����ƶ�������Ԫ�ظ�����ģ��,
���ü�����Ȼ�ȷ���,
�Ƶ��˶Ը������̶�ЧӦ�ֱ���м����Wilks�ͼ������.
���Ƶ��˶Զ���̶�ЧӦ����ͬʱ����ļ������.
�Ƶ��˷����ķֲ��IJ�����ԭʼ���������������Ĺ�ϵ.

�ؼ����� ��Ԫ�ظ�����ģ��   �������   ƽ�����   ������Ȼ�ȼ���  
Wilks Test Rule of Multivariate Repeated Survey Model in Equilibrium Design and Multiple-Way Classification
Zhang Xinyu
Department of Mathematics, Zhengzhou University
Abstract:

By use of maximum likelihood ratio means,
we present in this paper a Wilks test rule of each fixed effects in
the equilibrium design and multiple-way classification model with
repeated survey; then deduce a means to test each fixed effects
simultaneously. At last, we deduce the function relation between
non-central parameter and original parameter to reflected efficiency
of this test rule.

Keywords: Multiple repeated survey model   multidimensionalallocation   equilibrium design   maximum likelihood ratio test.  
�ո����� 1900-01-01 �޻����� 1900-01-01 ����淢������  
DOI:
������Ŀ:

ͨѶ����: ������
���߼��:
����Email:

�ο����ף�
�������������

Copyright by Ӧ�ø���ͳ��