Environmental and taxonomic variation in fingernail clam (Bivalvia: Pisidiidae) shell morphology

1983 ◽  
Vol 61 (12) ◽  
pp. 2781-2788 ◽  
Author(s):  
R. C. Bailey ◽  
E. H. Anthony ◽  
G. L. Mackie
Keyword(s):  
Correlation Matrix ◽  
Shell Morphology ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Morphometric Variation ◽  
Running Water ◽  
Components Analysis ◽  
Generic Groups ◽  
Fingernail Clams

Variation in the shell morphology of Sphaerium and Musculium fingernail clams was examined using multivariate statistical techniques. On the basis of shell measurements alone, clams from either genera which were collected in running-water habitats could be distinguished, with over 90% accuracy, from clams inhabiting standing water. The discrimination between the two groups was mainly due to the greater size and thickness of shells from clams living in running water. The pisidiid genera Sphaerium and Musculium were also morphologically distinguishable, mainly by size. Morphometric classification of these groups also resulted in over a 90% success rate. The morphometric variation within each of the above groups was further compared using a principal components analysis of each group's morphometric correlation matrix. This analysis revealed differences in growth-related changes in form between the pairs of habitat and generic groups studied. The techniques used to compare ecologically or taxonomically distinct shells appear to be promising for use in either biological monitoring or habitat selection studies.

Automated Severity Classification of AIDS Hospitalizations

1991 ◽  
Vol 11 (4_suppl) ◽  
pp. S41-S45 ◽  
Author(s):  
Frank W. Stitt ◽  
Ying Lu ◽  
Gordon M. Dickinson ◽  
Nancy G. Klimas
Keyword(s):  
Hiv Risk ◽  
Severity Of Illness ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Severity Classification ◽  
Disease Staging ◽  
Discharge Summaries

To validate an automated AIDS severity-of-illness prognostic algorithm, 2,113 discharge summaries of HIV-infected patients were merged with the Problem-Oriented Medical Synopsis (POMS) and an HIV risk registry. The combination of a medically derived classification and staging algorithm with multivariate statistical techniques was used for automated severity-of-illness disease staging and prognostic assignment. The model correctly predicted the outcomes of 82% of all cases (death, survivorship) at discharge, and 66% of deaths.

The Intellectual Structure Analysis of Improvisation Studies Based on a Journal Co-Citation Analysis

2013 ◽  
Vol 401-403 ◽  
pp. 2315-2318
Author(s):  
Peng Bin Gao ◽  
Wei Wei Wu ◽  
Bo Yu
Keyword(s):  
Citation Analysis ◽  
Correlation Matrix ◽  
Intellectual Structure ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Marketing Innovation ◽  
Knowledge Database ◽  
Management Area ◽  
Organization Marketing ◽  
Research Domain

The research of improvisation has been become an emerging management area in recent years, and the purpose of this study is to explore the intellectual structure of this research domain. A journal co-citation analysis was performed using the cited articles in the improvisation field included by Web of Knowledge database from 1997 to 2012. The journal set used was the 30 most productive journals in the field of improvisation, and multivariate statistical techniques were used to deal with the co-citation frequency matrix and correlation matrix. The results of current study show that the knowledge base of improvisation research involves multi-disciplinary with broad relations with other specialties: management, organization, marketing, innovation, information management, sociology and psychology.

scholarly journals Classification of artisanal Andalusian cheeses on physicochemical parameters applying multivariate statistical techniques

2015 ◽  
Vol 96 (1) ◽  
pp. 95-106 ◽  
Author(s):  
María Auxiliadora de la Haba Ruiz ◽  
Pilar Ruiz Pérez-Cacho ◽  
Rafaela Dios Palomares ◽  
Hortensia Galán-Soldevilla
Keyword(s):  
Physicochemical Parameters ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical

scholarly journals Statistical Methodology for Large Astronomical Surveys

1998 ◽  
Vol 179 ◽  
pp. 363-370 ◽  
Author(s):  
E.D. Feigelson ◽  
G.J. Babu
Keyword(s):  
Measurement Errors ◽  
Projection Pursuit ◽  
Multivariate Statistical Techniques ◽  
Multivariate Splines ◽  
Statistical Methodology ◽  
Source Characterization ◽  
Multivariate Statistical ◽  
Astronomical Surveys ◽  
Visualization Tools ◽  
Components Analysis

Multiwavelength surveys present a variety of challenging statistical problems: raw data processing, source identification, source characterization and classification, and interrelations between multiwavelength properties. For these last two issues, we discuss the applicability of standard and new multivariate statistical techniques. Traditional methods such as ANOVA, principal components analysis, cluster analysis, and tests for multivariate linear hypotheses are underutilized in astronomy and can be very helpful. Newer statistical methods such as projection pursuit, multivariate splines, and visualization tools such as XGobi are briefly introduced. However, multivariate databases from astronomical surveys present significant challenges to the statistical community. These include treatments of heteroscedastic measurement errors, censoring and truncation due to flux limits, and parameter estimation for nonlinear astrophysical models.

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