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Statistical methods for analyzing data on daily activity cycles of primates
Author(s) -
Sussman Robert W.,
O'fallon William M.,
Sussman Linda K.,
BuettnerJanusch John
Publication year - 1979
Publication title -
american journal of physical anthropology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.146
H-Index - 119
eISSN - 1096-8644
pISSN - 0002-9483
DOI - 10.1002/ajpa.1330510102
Subject(s) - lemur catta , lemur , sampling (signal processing) , independence (probability theory) , computer science , statistical analysis , statistics , mathematics , biology , primate , ecology , computer vision , filter (signal processing)
Many fields studies on primates have recently been carried out in which quantitative data have been collected using instantaneous scan sampling techniques. However, data collected in this manner are difficult to analyze statistically because of the problem of independence of samples, and a number investigators have analyzed such data incorrectly. In this paper, we evaluate such analyses and suggest alternative techniques that may be more appropriate. Examples are drawn from data on daily activity cycles of Lemur catta and Lemur fulvus .