scholarly journals Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico

2012 ◽  
Author(s):  
Not Given Author
Keyword(s):  
New Mexico ◽  
Statistical Analysis ◽  
Water Chemistry ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical

Rhotics of Taos, New Mexico Spanish: Variation and Change

2018 ◽  
Vol 11 (1) ◽  
pp. 215-264
Author(s):  
Donny A. Vigil
Keyword(s):  
New Mexico ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Speech Analysis ◽  
Analysis Software ◽  
Multivariate Statistical ◽  
Conditioning Factors ◽  
Word Position ◽  
Statistical Analysis Software ◽  
Age And Sex

Abstract Although some researchers report the normative production of the rhotics in Traditional New Mexico Spanish, others have reported variability, including the presence of an English-like vocalized rhotic. In the present study, 29 speakers of Spanish from Taos, a city in northern New Mexico, were interviewed and the rhotics of their speech were categorized, quantified and analyzed using speech analysis and multivariate statistical analysis software. The results show variation and change when compared to previous reports (both recent and of over a century ago). In spontaneous and elicited speech, ten distinct rhotic variants, subsequently recoded into five categories, were observed and quantified. Moreover, approximant and assibilated variants have notable frequencies and conditioning factors. VARBRUL analyses reveal phonological context, stress, word position, age, and sex as significant conditioning factors.

Multivariate statistical analysis of elements content in snow cover in Blagoveshchensk

2018 ◽  
Vol 52 (2) ◽  
pp. 15
Author(s):  
V. I. Radomskaya ◽  
D. V. Yusupov ◽  
L. М. Pavlova ◽  
А. G. Sеrgееvа ◽  
N. А. Bоrоdinа ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Snow Cover ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical

Multivariate Statistical Analysis Regarding the Formulation of Oxicam-Based Pharmaceutical Hydrogels

2017 ◽  
Vol 68 (4) ◽  
pp. 726-731
Author(s):  
Lenuta Maria Suta ◽  
Anca Tudor ◽  
Colette Roxana Sandulovici ◽  
Lavinia Stelea ◽  
Daniel Hadaruga ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Pharmaceutical Formulations ◽  
Analysis Data ◽  
Multivariate Statistical ◽  
Predictive Variables ◽  
Rapid Release ◽  
Computational Data ◽  
Experimental Protocols ◽  
Formulation Factors

In this paper, it was analysed the influence of formulation factors over obtaining oxicam hydrogels, using the statistical analysis. Data analysis and predictive modeling by multivariate regression offers a large number of possible explanatory/predictive variables. Therefore, variable selection and dimension reduction is a major task for multivariate statistical analysis, especially for multivariate regressions. The statistical analysis and computational data processing of responses obtained from different pharmaceutical formulations, via different experimental protocols, lead to the optimization of the formulation process. It was found that the most suitable pharmaceutical formulations based on oxicams with the possibility of rapid release contained cyclodextrin, in particular 2-hydroxypropyl-b-cyclodextrin.

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