Some one-sample hypothesis testing problems when there is a monotone sample from a multivariate normal population
type: Item
instance of: scholarly article
title: Some one-sample hypothesis testing problems when there is a monotone sample from a multivariate normal population
zbMATH Open document ID: 0383.62027
DOI: 10.1007/BF02504652
author: R. P. Bhargava
published in: Annals of the Institute of Statistical Mathematics
publication date: 1975-01-01T00:00:00Z
Mathematics Subject Classification ID: 62H15
Mathematics Subject Classification ID: 62H10
zbMATH DE Number: 3596081
MaRDI profile type: Publication
cites work: Missing Observations in Multivariate Statistics. III: Large Sample Analysis of Simple Linear Regression
cites work: Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
cites work: Q3255781
cites work: Properties of sufficiency and statistical tests
cites work: A GENERAL DISTRIBUTION THEORY FOR A CLASS OF LIKELIHOOD CRITERIA
cites work: Q5338397
cites work: Multiple Regression with Missing Observations among the Independent Variables
cites work: The Generalization of Student's Ratio
cites work: Estimation of Parameters from Incomplete Data
cites work: Q5805366
cites work: On Multivariate Distribution Theory
cites work: Q5813601
cites work: Q3239660
cites work: Maximum Likelihood Estimation with Incomplete Multivariate Data
cites work: Moments and Distributions of Estimates of Population Parameters from Fragmentary Samples
full work available at URL: https://doi.org/10.1007/bf02504652
OpenAlex ID: W2172005333
description: scientific article; zbMATH DE number 3596081