scholarly journals Chemometric Analysis of Wetlands Remnants of the Former Texcoco Lake: A Multivariate Approach

10.5772/63436 ◽  
2016 ◽  
Author(s):  
Jacinto Elías Sedeño-Díaz ◽  
Alexis Joseph Rodríguez-Romero ◽  
Erick Mendoza-Martínez ◽  
Eugenia López-López
Keyword(s):  
Chemometric Analysis ◽  
Multivariate Approach

Classification of cacao beans (Theobroma cacao L.) of southern Mexico based on chemometric analysis with multivariate approach

2015 ◽  
Vol 240 (6) ◽  
pp. 1117-1128 ◽  
Author(s):  
Alfredo Vázquez-Ovando ◽  
Francisco Molina-Freaner ◽  
Juan Nuñez-Farfán ◽  
David Betancur-Ancona ◽  
Miguel Salvador-Figueroa
Keyword(s):  
Theobroma Cacao ◽  
Chemometric Analysis ◽  
Multivariate Approach ◽  
Southern Mexico ◽  
Theobroma Cacao L

Differentiation of Flos Chrysanthemi Cultivars by NMR Fingerprinting and Chemometric Analysis

Planta Medica ◽  
2012 ◽  
Vol 78 (05) ◽  
Author(s):  
J Zhao ◽  
M Wang ◽  
F Wei ◽  
R Lin ◽  
TJ Smillie ◽  
...  
Keyword(s):  
Chemometric Analysis

Chemometric analysis on Acanthopanax fruits using UPLC-ESI-MS

Planta Medica ◽  
2013 ◽  
Vol 79 (13) ◽  
Author(s):  
S Jeong ◽  
Y Jang
Keyword(s):  
Chemometric Analysis ◽  
Esi Ms

A Multivariate Approach to Analyze Ordinal Data Collected in Clinical Trials of Analgesic Agents

1979 ◽  
Vol 18 (03) ◽  
pp. 175-179
Author(s):  
E. Mabubini ◽  
M. Rainisio ◽  
V. Mandelli
Keyword(s):  
Clinical Trials ◽  
Multivariate Analysis ◽  
Analgesic Effect ◽  
Ordinal Data ◽  
Ordinal Scale ◽  
Multivariate Approach ◽  
Controlled Clinical Trials ◽  
Second Stage ◽  
Analgesic Agents ◽  
Relevant Factors

After pointing out the drawbacks of the approach commonly used to analyze the data collected in controlled clinical trials carried out to evaluate the analgesic effect of potential agents, the authors suggest a procedure suitable for analyzing data coded according to an ordinal scale. In the first stage a multivariate analysis is carried out on the codec! data and the projection of each result in the space of the most relevant factors is obtained. In the second stage the whole set of these values is processed by distribution-free tests. The procedure has been applied to data previously published by VENTAITBIDDA et al. [18].

A Multivariate Approach to Lexical Diversity in Constrained Language

2020 ◽  
Vol 21 (2) ◽  
pp. 169-194
Author(s):  
Marta Kajzer-Wietrzny ◽  
Ilmari Ivaska
Keyword(s):  
Second Language Acquisition ◽  
Regression Models ◽  
Translation Studies ◽  
Methodological Framework ◽  
Multivariate Approach ◽  
Mediated Communication ◽  
Vocabulary Size ◽  
Lexical Diversity ◽  
Linear Mixed Effects ◽  
Word Repetition

Empirical Translation Studies have recently extended the scope of research to other forms of constrained and mediated communication, including bilingual communication, editing, and intralingual translation. Despite the diversity of factors accounted for so far, this new strand of research is yet to take the leap into intermodal comparisons. In this paper we look at Lexical Diversity (LD), which under different guises, has been studied both within Translation Studies (TS) and Second Language Acquisition (SLA). LD refers to the rate of word repetition, and vocabulary size and depth, and previous research indicates that translated and non-native language tends to be less lexically diverse. There is, however, no study that would investigate both varieties within a unified methodological framework. The study reported here looks at LD in spoken and written modes of constrained and non-constrained language. In a two-step analysis involving Exploratory Factor Analysis and linear mixed-effects regression models we find interpretations to be least lexically diverse and written non-constrained texts to be most diverse. Speeches delivered impromptu are less diverse than those read out loud and the non-constrained texts are more sensitive to such delivery-related differences than the constrained ones.

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