1982
DOI: 10.2307/1267831
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Circular Statistics in Biology

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Cited by 837 publications
(127 citation statements)
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“…Also, a multiple linear regression model was applied to verify whether PVN OXTimmunoreactivity was associated with mood disorders, taking into consideration confounding factors such as sex, age, or postmortem delay. The Mardia-Watson-Wheeler test (Watson, 1982) was used for group comparisons of circular data, including the clock time of death and the month of death. Po0.05 was considered to be significant.…”
Section: Part 2: In Vitro Studies In Cell Linesmentioning
confidence: 99%
“…Also, a multiple linear regression model was applied to verify whether PVN OXTimmunoreactivity was associated with mood disorders, taking into consideration confounding factors such as sex, age, or postmortem delay. The Mardia-Watson-Wheeler test (Watson, 1982) was used for group comparisons of circular data, including the clock time of death and the month of death. Po0.05 was considered to be significant.…”
Section: Part 2: In Vitro Studies In Cell Linesmentioning
confidence: 99%
“…Because the coefficient of overlap is purely descriptive, we used the Mardia–Watson–Wheeler (MWW) test (Batschelet, 1981) to compare statistically the distribution of detections across the diel cycle for all sampling campaign pairs (Brook et al., 2012; Gerber et al., 2012) in program Oriana (Kovach ,2011). The null hypothesis of a common distribution was rejected if the value of W was larger than the critical value indicated by p < 0.05 (Pewsey et al., 2013).…”
Section: Methodsmentioning
confidence: 99%
“…In terms of our study, a high r‐value denotes that activity of mammals is limited to a particular lunar phase, while a low r‐value indicates that activity is distributed across the lunar cycle. The Rao's spacing test (U) for uniformity around the circular space was used to assess whether activity of mammals was uniform across the lunar cycle (Batschelet, 1981). The Rao's test is more powerful and robust than many other circular goodness‐of‐fit‐tests and is able to analyze bimodal and multimodal distributions, whereas other tests, such as the Rayleigh test and Watson's U 2 , cannot (Bergin, 1991).…”
Section: Methodsmentioning
confidence: 99%
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“…ahol ui,j, ui+1,j, ui,j+1, ui+1,j+1 a mátrix négy szomszédos korrekciós vektora (2.8C ábra). Az A különböző mérési helyzetekben mért Δφ és Δθ értékeket cirkuláris statisztikai módszerrel ábrázoltuk és elemeztük (BATSCHELET 1981). Ehhez az átlagos hibavektorok kiszámítása volt szükséges, amit úgy kaptunk, hogy az összes szöghibához hozzárendeltünk egy egységvektort, melynek iránya éppen maga a szöghiba, majd ezeket a vektorokat összeadtuk.…”
Section:  4 Lépésunclassified