Markov chain Monte Carlo for autologistic regression models with application to the distribution of plant species

Biometrics

Volumn 54, Issue 2, 1998, Pages 509-524

  Huffer, Fred W ^a   Wu, Hulin ^b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b FRONTIER SCIENCE AND TECHNOLOGY RESEARCH FOUNDATION   (United States)

Author keywords

Ecological data; Environmental statistics; Maximum likelihood estimate; Sampling distribution; Spatial binary data; Spatial statistics

Indexed keywords

CHAINS; FISHER INFORMATION MATRIX; MARKOV PROCESSES; MONTE CARLO METHODS; NORMAL DISTRIBUTION; POPULATION DISTRIBUTION; REGRESSION ANALYSIS; SAMPLING;

BINARY DATA; ECOLOGICAL DATA; ENVIRONMENTAL STATISTICS; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MAXIMUM-LIKELIHOOD ESTIMATE; REGRESSION MODELLING; SAMPLING DISTRIBUTION; SPATIAL BINARY DATA; SPATIAL STATISTICS;

MAXIMUM LIKELIHOOD ESTIMATION;

ARTICLE; BIOMETRY; CORRELATION FUNCTION; DEPTH PERCEPTION; NONHUMAN; PLANT; PROBABILITY; SYSTEM ANALYSIS;

EID: 0031799834     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.2307/3109759     Document Type: Article

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