Best prediction in linear models with mixed integer/real unknowns: Theory and application

DOI10.1007/s00190-007-0140-6zbMath1171.86385OpenAlexW2127176221MaRDI QIDQ926964

P. J. G. Teunissen

Publication date: 21 May 2008

Published in: Journal of Geodesy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00190-007-0140-6

zbMATH Keywords

best prediction and estimationequivariant predictioninteger equivariant predictionleast-squares predictionlinear unbiased predictionminimum mean squared prediction error

Mathematics Subject Classification ID

Geostatistics (86A32)

Related Items (5)

Admissibility of simultaneous prediction for actual and average values in finite population ⋮ The Hammersley-Chapman-Robbins inequality for repeatedly monitored quantum system ⋮ Simultaneous prediction in the generalized linear model ⋮ A recursive linear MMSE filter for dynamic systems with unknown state vector means ⋮ Estimation in discrete parameter models

Cites Work

• An optimality property of the integer least-squares estimator
• Theory of integer equivariant estimation with application to GNSS
• Confidence regions for GPS baselines by Bayesian statistics
• Linear models. Least squares and alternatives
• Geodetic applications of stochastic processes
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Best prediction in linear models with mixed integer/real unknowns: Theory and application