Errors-In-Variables Estimation for Gaussian Lattice Schemes
- 1 September 1977
- journal article
- research article
- Published by Oxford University Press (OUP) in Journal of the Royal Statistical Society Series B: Statistical Methodology
- Vol. 39 (1) , 73-78
- https://doi.org/10.1111/j.2517-6161.1977.tb01607.x
Abstract
Summary: It can happen that the variates of primary interest in a simple Gaussian lattice scheme are not directly observable. An errors-in-variables formulation may then be appropriate. This note describes the corresponding maximum-likelihood estimation of unknown parameter values. An example is given.This publication has 7 references indexed in Scilit:
- On the estimation and testing of spatial interaction in Gaussian lattice processesBiometrika, 1975
- Statistical Analysis of Non-Lattice DataJournal of the Royal Statistical Society: Series D (The Statistician), 1975
- Estimation Methods for Models of Spatial InteractionJournal of the American Statistical Association, 1975
- Spatial Interaction and the Statistical Analysis of Lattice SystemsJournal of the Royal Statistical Society Series B: Statistical Methodology, 1974
- A Gaussian Markovian process on a square latticeJournal of Applied Probability, 1973
- ON STATIONARY PROCESSES IN THE PLANEBiometrika, 1954
- On the Theoretical Specification and Sampling Properties of Autocorrelated Time-SeriesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1946