The statistical bias of numerically integrated statistical procedures

DOI10.1016/0898-1221(85)90041-0zbMath0585.62093OpenAlexW2144700361MaRDI QIDQ1070711

John Scott Butler

Publication date: 1985

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(85)90041-0

zbMATH Keywords

Maximum likelihood estimationmultivariate normal modelsbiasesBayesian posterior density functions

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Point estimation (62F10) Numerical integration (65D30) Probabilistic methods, stochastic differential equations (65C99)

Related Items

A mixed approach for the estimation of probit models with correlated responses: some finite sample results ⋮ A comparison of different methods for the estimation of regression models with correlated binary responses.

Cites Work

• A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: The statistical bias of numerically integrated statistical procedures