Maximum likelihood estimation for variance of GIS overlapped coverage

Xinzhou Wang; Yangsheng You; Xing Liu; Wen Zhong Shi

Maximum likelihood estimation for variance of GIS overlapped coverage

Xinzhou Wang, Yangsheng You, Xing Liu, Wen Zhong Shi

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

Taking on Wishart distribution function as likelihood function, this paper represents a maximum likelihood estimation of variance components of every coverage aimed at common points in the overlapped coverage. The method can estimate the unknown parameters and variance components independent of remnant errors and iterative computation.

Original language	Chinese (Simplified)
Pages (from-to)	892-895
Number of pages	4
Journal	Geomatics and Information Science of Wuhan University
Volume	30
Issue number	10
Publication status	Published - 1 Oct 2005

Keywords

Common-points
Maximum likelihood estimation
Overlapped-coverage
Variance components estimation
Wishart distribution

ASJC Scopus subject areas

Computer Science (miscellaneous)
Earth-Surface Processes

Cite this

@article{558caf22db5c43c4a20089f7937277af,

title = "Maximum likelihood estimation for variance of GIS overlapped coverage",

abstract = "Taking on Wishart distribution function as likelihood function, this paper represents a maximum likelihood estimation of variance components of every coverage aimed at common points in the overlapped coverage. The method can estimate the unknown parameters and variance components independent of remnant errors and iterative computation.",

keywords = "Common-points, Maximum likelihood estimation, Overlapped-coverage, Variance components estimation, Wishart distribution",

author = "Xinzhou Wang and Yangsheng You and Xing Liu and Shi, {Wen Zhong}",

year = "2005",

month = oct,

day = "1",

language = "Chinese (Simplified)",

volume = "30",

pages = "892--895",

journal = "Geomatics and Information Science of Wuhan University",

issn = "1671-8860",

publisher = "Wuhan University",

number = "10",

}

TY - JOUR

T1 - Maximum likelihood estimation for variance of GIS overlapped coverage

AU - Wang, Xinzhou

AU - You, Yangsheng

AU - Liu, Xing

AU - Shi, Wen Zhong

PY - 2005/10/1

Y1 - 2005/10/1

N2 - Taking on Wishart distribution function as likelihood function, this paper represents a maximum likelihood estimation of variance components of every coverage aimed at common points in the overlapped coverage. The method can estimate the unknown parameters and variance components independent of remnant errors and iterative computation.

AB - Taking on Wishart distribution function as likelihood function, this paper represents a maximum likelihood estimation of variance components of every coverage aimed at common points in the overlapped coverage. The method can estimate the unknown parameters and variance components independent of remnant errors and iterative computation.

KW - Common-points

KW - Maximum likelihood estimation

KW - Overlapped-coverage

KW - Variance components estimation

KW - Wishart distribution

UR - http://www.scopus.com/inward/record.url?scp=27744599472&partnerID=8YFLogxK

M3 - Journal article

SN - 1671-8860

VL - 30

SP - 892

EP - 895

JO - Geomatics and Information Science of Wuhan University

JF - Geomatics and Information Science of Wuhan University

IS - 10

ER -

Maximum likelihood estimation for variance of GIS overlapped coverage

Abstract

Keywords

ASJC Scopus subject areas

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