The analysis of morphometric data on rocky mountain wolves and artic wolves using statistical method

Autor:	Mohd Saifullah Rusiman, Muhammad Ammar Shafi, Ahmad Hilmi Azman, Muhammad Faez Ab Latip, Nur Azia Hazida Mohamad Azmi, Noor’ani Ahmad, Maria Elena Nor, Nor Shamsidah Amir Hamzah
Rok vydání:	2018
Předmět:	Morphometrics History Variables Fossil Record media_common.quotation_subject Statistical model Sample (statistics) Computer Science Applications Education Geography Arctic Multivariate analysis of variance Statistics Analysis of variance media_common
Zdroj:	Journal of Physics: Conference Series. 995:012015
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/995/1/012015
Popis:	Morphometrics is a quantitative analysis depending on the shape and size of several specimens. Morphometric quantitative analyses are commonly used to analyse fossil record, shape and size of specimens and others. The aim of the study is to find the differences between rocky mountain wolves and arctic wolves based on gender. The sample utilised secondary data which included seven variables as independent variables and two dependent variables. Statistical modelling was used in the analysis such was the analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA). The results showed there exist differentiating results between arctic wolves and rocky mountain wolves based on independent factors and gender.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::97e3c12c5ca3956c39d85139450a1563 https://doi.org/10.1088/1742-6596/995/1/012015 Zobrazit plný text záznamu