Testing mutual independence between two discrete-valued spatial processes: A correction to Pearson chi-squared

Biometrics

Volumn 58, Issue 4, 2002, Pages 888-897

  Cerioli, Andrea ^a  

^a UNIVERSITY OF PARMA   (Italy)

Author keywords

Categorical data; Contingency table; First order approximation; Historical ecological research; Spatial autocorrelation; Subsampling

Indexed keywords

AUTOCORRELATION; FORESTRY; INTELLIGENT SYSTEMS; STATISTICAL TESTS;

CATEGORICAL DATA; CHI-SQUARED; COMMON FEATURES; CONTINGENCY TABLE; FIRST-ORDER APPROXIMATIONS; HISTORICAL ECOLOGICAL RESEARCH; MUTUAL INDEPENDENCE; SPATIAL AUTOCORRELATIONS; SPATIAL PROCESS; SUBSAMPLING;

MONTE CARLO METHODS;

AUTOCORRELATION; MONTE CARLO ANALYSIS; SAMPLING; STATISTICAL ANALYSIS;

ANALYTIC METHOD; ARTICLE; CHI SQUARE DISTRIBUTION; CORRELATION FUNCTION; DATA ANALYSIS; ECOLOGY; MEASUREMENT; MONTE CARLO METHOD; SAMPLING; SPATIAL SUMMATION; TECHNIQUE;

EID: 0036969365     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2002.00888.x     Document Type: Article

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