Independent and identically distributed Monte Carlo algorithms for semiparametric linear mixed models

Journal article

Hemant ISHWARAN and Glen TAKAHARA

Journal of the American Statistical Association, Vol.97(460), pp.1154-1166

2002

Abstract

Numerical analysis. Scientific computation

Numerical methods in probability and statistics

Linear inference, regression

Numerical analysis

Applications

Exact sciences and technology

Nonparametric inference

Mathematics

Probability and statistics

Medical sciences

Statistics

Sciences and techniques of general use

7 Record Views

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Citation topics: 9 Mathematics; 9.92 Statistical Methods; 9.92.220 Nonparametric Regression
Web Of Science research areas: Statistics & Probability
ESI research areas: Mathematics

This output has contributed to the advancement of the following goals:

Source: InCites

Title: Independent and identically distributed Monte Carlo algorithms for semiparametric linear mixed models
Creators: Hemant ISHWARAN - Department of Biostatistics and Epidemiology, Cleveland Clinic Foundation, Cleveland, OH 44195, United States
Glen TAKAHARA - Department of Mathematics and Statistics, Queen's University, Kingston, Ontario K7L 3N6, Canada
Publication Details: Journal of the American Statistical Association, Vol.97(460), pp.1154-1166
Publisher: American Statistical Association
Academic Unit: Miller School of Medicine; UMMG Department of Public Health Sciences Research
Language: English
Resource Type: Journal article
Record Identifier: 991031599396702976