Role of canonical biplot method in the study of building stones: an example from Spanish monumental heritage

Varas, María José; Tavera, Santiago Vicente; Molina, E.; Villardón, José Luis Vicente

doi:10.1002/env.722

Cited by 19 publications

(15 citation statements)

References 10 publications

(8 reference statements)

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“…The results are usually summarized on different factorial planes that depend on the absorption of variance or dimensions that we retain (r). The description of Canonical biplot method is described in the literature (Varas et al, 2005).…”

Section: Statistical Analyses (Canonical Biplot)mentioning

confidence: 99%

“…The Canonical biplot method has been used in the conservation of historical buildings and monuments (Varas et al, 2005), in civil engineering (Iñigo et al, 2005;Iñigo et al, 2013) and, in the case of foods, in the study of margarines (Rui Alves and Beatriz Oliveira, 2003), but no reference has been found regarding its application to the characterization of cheeses using volatile compounds as variables.…”

Section: Introductionmentioning

confidence: 99%

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The role of the canonical biplot method in the study of volatile compounds in cheeses of variable composition

González-Martín¹,

Tavera²,

Revilla³

et al. 2016

Grasas y Aceites

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SUMMARY:The canonical biplot method (CB) is used to determine the discriminatory power of volatile chemical compounds in cheese. These volatile compounds were used as variables in order to differentiate among 6 groups or populations of cheeses (combinations of two seasons (winter and summer) with 3 types of cheese (cow, sheep and goat's milk). We analyzed a total of 17 volatile compounds by means of gas chromatography coupled with mass detection. The compounds included aldehydes and methyl-aldehydes, alcohols (primary, secondary and branched chain), ketones, methyl-ketones and esters in winter (WC) and summer (SC) cow's cheeses, winter (WSh) and summer (SSh) sheep's cheeses and in winter (WG) and summer (SG) goat's cheeses. The CB method allows differences to be found as a function of the elaboration of the cheeses, the seasonality of the milk, and the separation of the six groups of cheeses, characterizing the specific volatile chemical compounds responsible for such differences.KEYWORDS: Canonical biplot; Cheeses; Seasonality; Type of milk (cow, sheep, goat); Volatiles RESUMEN: Papel del método biplot canónico en el estudio de compuestos volátiles en quesos de composición variable. El método biplot canónico (CB) se utiliza para determinar el poder discriminatorio de compuestos químicos volátiles en queso. Los compuestos volátiles se utilizan como variables con el fin de diferenciar entre los 6 grupos o poblaciones de quesos (combinaciones de dos temporadas (invierno y verano) con 3 tipos de queso (vaca, oveja y cabra). Se analizan un total de 17 compuestos volátiles por medio de cromatografía de gases acoplada con detección de masas. Los compuestos incluyen aldehídos y metil-aldehídos, alcoholes (primarios de cadena, secundaria y ramificada), cetonas, metil-cetonas y ésteres. Los seis grupos de quesos son, quesos de vaca de invierno (WC) y verano (SC); quesos de oveja de invierno (WSh) y verano (SSh) y quesos de cabra de invierno (WG) y verano (SG). El método CB permite la separación de los seis grupos de quesos y encontrar las diferencias en función del tipo y estacionalidad de la leche, caracterizando los compuestos químicos volátiles específicos responsables de tales diferencias.

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Section: Statistical Analyses (Canonical Biplot)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The role of the canonical biplot method in the study of volatile compounds in cheeses of variable composition

González-Martín¹,

Tavera²,

Revilla³

et al. 2016

Grasas y Aceites

Self Cite

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“…Also, the canonical biplot has an important advantage: It is possible not only to establish the differences between groups but also to characterise the variables responsible for them (Varas et al, 2005). We divide the elements of the rows (represented by economic sectors) into k groups, which are completely different, so which separates these groups with the maximum discriminating power.…”

Section: Analysis: the Year Before Implementation Of Ifrsmentioning

confidence: 99%

An analysis of profit and loss in Brazil before and after the full adoption of the International Financial Reporting Standards

Gallego‐Álvarez

Grecco

Formigoni

et al. 2014

IJAAPE

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This study aims to determine whether the main items of the profit and loss (P&L) accounts of listed Brazilian companies have been modified, according to sector, after Brazil's adoption of the International Financial Reporting Standards (IFRS). The sample is composed of 118 companies classified by the Securities and Exchange Commission of Brazil (SECB) as corporate governance for the year before (2007) and the year after (2010) the implementation of IFRS. The analysis is based on the interpretation of biplots developed by Gower and Hand. The study concludes that a change did occur in the P&L accounts in the periods studied, which is substantiated by an analysis of the evolution of the national added value and explained by the application of new IFRS. This suggests that, unless there has been a significant alteration of performance in all sectors of the economy, the confrontation between P&L in Brazil has undergone significant changes in the different sectors of the economy after the full adoption of IFRS.

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“…Analisis Biplot bersifat deskriptif dengan dimensi dua yang dapat disajikan secara visual segugus objek dan variabel dalam satu grafik. Bila data yang dianalisis terdiri dari beberapa kategori maka metode statistika yang dapat digunakan adalah Canonical Variate Analysis (CVA) Biplot [2] atau disebut juga Canonical Biplot [7] . Dengan penyajian seperti ini, ciri-ciri peubah atau variabel dan obyek pengamatan serta posisi relatif antar obyek pengamatan dengan variabel dapat dianalisis [3] .…”

Section: Pendahuluanunclassified

Analisis Variabel Kanonik Biplot Untuk Bank Umum Di Jawa Tengah

Yasin¹,

Rusgiyono²

2013

Medstat

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Bank Competition in Indonesia increase due to good economic growth and the improvement of the social middle class in Indonesia. Increased bank raises the fierce competition between banks and internal banks themselves. This makes the management of the bank should work seriously to maintain its existence. In this case the assessment of the bank become very important in the banking business to survive in today's banking industry. This study was conducted to determine the competitive commercial banks operating in Central Java with the Canonical Variate Analysis (CVA) Biplot. This analysis can be applied to find out information about the relative position, the similarity between the object characteristics and diversity of variables in the three groups of commercial banks in Central Java, namely state-owned banks, private banks and private banks Non Foreign Exchange, based on the health aspects of the bank. The results obtained are the banks in each group had different characteristics shown in the relative position of the already well-separated in the resulting biplot. Variables that tend to influence the grouping of commercial banks are Capital Adequacy Ratio (CAR). The total assets is variable with the highest level of prediction accuracy on each bank.

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Role of canonical biplot method in the study of building stones: an example from Spanish monumental heritage

Cited by 19 publications

References 10 publications

The role of the canonical biplot method in the study of volatile compounds in cheeses of variable composition

The role of the canonical biplot method in the study of volatile compounds in cheeses of variable composition

An analysis of profit and loss in Brazil before and after the full adoption of the International Financial Reporting Standards

Analisis Variabel Kanonik Biplot Untuk Bank Umum Di Jawa Tengah

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