کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1146827 957532 2006 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Two-sample inference for normal mean vectors based on monotone missing data
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آنالیز عددی
پیش نمایش صفحه اول مقاله
Two-sample inference for normal mean vectors based on monotone missing data
چکیده انگلیسی

Inferential procedures for the difference between two multivariate normal mean vectors based on incomplete data matrices with different monotone patterns are developed. Assuming that the population covariance matrices are equal, a pivotal quantity, similar to the Hotelling T2 statistic, is proposed, and its approximate distribution is derived. Hypothesis testing and confidence estimation of the difference between the mean vectors based on the approximate distribution are outlined. The validity of the approximation is investigated using Monte Carlo simulation. Monte Carlo studies indicate that the approximate method is very satisfactory even for small samples. A multiple comparison procedure is outlined and the proposed methods are illustrated using an example.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Multivariate Analysis - Volume 97, Issue 10, November 2006, Pages 2162-2176