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On randomization testing in vegetation science: multifactor comparisons of relevé groups
Author(s) -
Pillar Valério De Patta,
Orlóci László
Publication year - 1996
Publication title -
journal of vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 115
eISSN - 1654-1103
pISSN - 1100-9233
DOI - 10.2307/3236308
Subject(s) - set (abstract data type) , randomization , restricted randomization , computer science , statistical hypothesis testing , vegetation (pathology) , statistics , test (biology) , mathematics , econometrics , ecology , clinical trial , biology , bioinformatics , programming language , medicine , pathology
Abstract. Hypothesis testing in phytocoenological applications is likely to be hindered when based on conventional statistical methods. The problem created by unrealistic assumptions can, however, be overcome by randomization. This paper discusses the general idea of randomization testing, describes a method and interprets its application in group comparisons. Two sets of variables are involved, the vegetation set on the basis of which the groups are compared and the environmental factors which delimit the groups under different analytical designs. Although simple partitioning of sum of squares is at the core of the test, the method has versatility of testing uni‐ or multifactor designs, which is novel in phytocoenological applications. The algorithm has been implemented in programs SYNCSA and MULTIV by V.P. Data from the Campos of southern Brazil are used for illustration.