A New Statistical Method for Comparative Anatomy

Rules, formulas and statistical tests have been widely used in studies that use continuous variables in the normal or Gaussian distribution or other tests whose data fit this type of distribution (t and z distributions) and whose parameters can be defined. However, there are cases in which the model...

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Autor principal:	Aversi-Ferreira,Tales Alexandre
Lenguaje:	English
Publicado:	Sociedad Chilena de Anatomía 2009
Materias:	Morphology Comparative anatomy Statistical method
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022009000400016
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spelling	oai:scielo:S0717-950220090004000162010-05-18A New Statistical Method for Comparative AnatomyAversi-Ferreira,Tales Alexandre Morphology Comparative anatomy Statistical method Rules, formulas and statistical tests have been widely used in studies that use continuous variables in the normal or Gaussian distribution or other tests whose data fit this type of distribution (t and z distributions) and whose parameters can be defined. However, there are cases in which the model and goal of the scientific work allow only the use of discrete or nominal variables. The absence or presence of a structure or organ (muscles, nerves, blood vessels, bones, and ligaments), characteristics associated with these organs, such as the source of nerves, vessels and muscles and the distribution of nerves and vessels are discrete and / or nominal variables that do not fit the Gaussian distribution, nor of z or t, unless the measures of these structures are taken. A simple comparative method within the non-parametric distribution has been proposed, (1) between two different samples from the same species and (2) for two different species, based on the concepts of normal and variation in anatomy and on modal class in statistics here called Comparative Anatomy Index (IAC). The main findings on the use of this method are: (1) to allow the relationship between data from discrete or nominal variables in comparative anatomy or in other areas of morphology, (2) to generate an objective method (numerical) of comparison between samples of structures from the same species and between different species and (3) to fill the lack of a specific method for the statistical work in comparative anatomy or in morphology, in general.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.27 n.4 20092009-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022009000400016en10.4067/S0717-95022009000400016
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Morphology Comparative anatomy Statistical method
spellingShingle	Morphology Comparative anatomy Statistical method Aversi-Ferreira,Tales Alexandre A New Statistical Method for Comparative Anatomy
description	Rules, formulas and statistical tests have been widely used in studies that use continuous variables in the normal or Gaussian distribution or other tests whose data fit this type of distribution (t and z distributions) and whose parameters can be defined. However, there are cases in which the model and goal of the scientific work allow only the use of discrete or nominal variables. The absence or presence of a structure or organ (muscles, nerves, blood vessels, bones, and ligaments), characteristics associated with these organs, such as the source of nerves, vessels and muscles and the distribution of nerves and vessels are discrete and / or nominal variables that do not fit the Gaussian distribution, nor of z or t, unless the measures of these structures are taken. A simple comparative method within the non-parametric distribution has been proposed, (1) between two different samples from the same species and (2) for two different species, based on the concepts of normal and variation in anatomy and on modal class in statistics here called Comparative Anatomy Index (IAC). The main findings on the use of this method are: (1) to allow the relationship between data from discrete or nominal variables in comparative anatomy or in other areas of morphology, (2) to generate an objective method (numerical) of comparison between samples of structures from the same species and between different species and (3) to fill the lack of a specific method for the statistical work in comparative anatomy or in morphology, in general.
author	Aversi-Ferreira,Tales Alexandre
author_facet	Aversi-Ferreira,Tales Alexandre
author_sort	Aversi-Ferreira,Tales Alexandre
title	A New Statistical Method for Comparative Anatomy
title_short	A New Statistical Method for Comparative Anatomy
title_full	A New Statistical Method for Comparative Anatomy
title_fullStr	A New Statistical Method for Comparative Anatomy
title_full_unstemmed	A New Statistical Method for Comparative Anatomy
title_sort	new statistical method for comparative anatomy
publisher	Sociedad Chilena de Anatomía
publishDate	2009
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022009000400016
work_keys_str_mv	AT aversiferreiratalesalexandre anewstatisticalmethodforcomparativeanatomy AT aversiferreiratalesalexandre newstatisticalmethodforcomparativeanatomy
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A New Statistical Method for Comparative Anatomy

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