Information loss on the mean for spatial processes when some values are missing

DOI10.1080/03610929108830626zbMath0900.62503OpenAlexW2030131143MaRDI QIDQ3135336

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Publication date: 17 October 1993

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929108830626

Mathematics Subject Classification ID

Inference from spatial processes (62M30)

Related Items (3)

Information loss on the dependence parameter due to incomplete data from a one-parameter spatial gaussian process ⋮ Estimation and smoothing from incomplete data for a class of lattice processes ⋮ Application of em-type algorithms to spatial data

Cites Work

• Maximum likelihood estimation with missing spatial data and with an application to remotely sensed data
• Information loss due to incomplete data from a spatial gaussian one-parameter first-order conditional process
• A subclass of lattice processes applied to a problem in planar sampling

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