scholarly journals Canonical Correlation Analysis Between Growth and Nutrition in Teak Seedlings

2019 ◽  
Vol 26 (2) ◽  
Author(s):  
Cristiane Ramos Vieira ◽  
Oscarlina Lúcia dos Santos Weber ◽  
Kuang Hongyu ◽  
José Fernando Scaramuzza
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Tectona Grandis ◽  
Canonical Correlations ◽  
Randomized Design ◽  
Growth And Nutrition ◽  
Macro And Micronutrients ◽  
Completely Randomized Design ◽  
The Relationship

ABSTRACT The relationship between nutrients and plant growth requires in-depth studies and the application of statistical analysis capable of explaining these interactions. An experiment was prepared with N, P2O5 and K2O doses. Effects on the correlations between growth and nutrients in Tectona grandis seedlings were based on the canonical correlation analysis. Seedlings were submitted to doses of N = 0, 2.5, 5.0, 7.5 kg m–3 with urea, P2O5 = 0, 3.0, 6.0, 12.0 kg m–3 with common superphosphate, and K2O = 0, 3.0, 6.0, 12.0 kg m–3 with potassium chloride, in a completely randomized design. Canonical correlations showed that biomass was the most salient morphological characteristic in relation to the growth of T. grandis seedlings. Height and diameter were also underscored by interactions between macro- and micronutrients in the substrate, after fertilization. Results show that N, Mn and Cu were the most important nutrients for the increment of these characteristics.

scholarly journals Canonical correlation analysis for studying the relationship between egg production traits and body weight, egg weight and age at sexual maturity in layers

2011 ◽  
Vol 50 (No. 4) ◽  
pp. 163-168 ◽  
Author(s):  
Y. Akbaş ◽  
Ç. Takma
Keyword(s):  
Body Weight ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Sexual Maturity ◽  
Egg Production ◽  
Production Traits ◽  
Egg Weight ◽  
Canonical Correlations ◽  
The Relationship

In this study, canonical correlation analysis was applied to layer data to estimate the relationships of egg production with age at sexual maturity, body weight and egg weight. For this purpose, it was designed to evaluate the relationship between two sets of variables of laying hens: egg numbers at three different periods as the first set of variables (Y) and age at sexual maturity, body weight, egg weight as the second set of variables (X) by using canonical correlation analysis. Estimated canonical correlations between the first and the second pair of canonical variates were significant (P < 0.01). Canonical weights and loadings from canonical correlation analysis indicated that age at sexual maturity had the largest contribution as compared with body weight and egg weight to variation of the number of egg productions at three different periods.  

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

scholarly journals Kernel functional canonical correlation analysis

2017 ◽  
Vol 5 (325) ◽  
Author(s):  
Mirosław Krzyśko ◽  
Łukasz Waszak
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Functional Data ◽  
Canonical Correlation ◽  
Multivariate Data ◽  
Research Interest ◽  
Canonical Correlations ◽  
Canonical Variables ◽  
Correlation Methods ◽  
The Subject

Canonical correlation methods for data representing functions or curves have received much attention in recent years. Such data, known in the literature as functional data (Ramsay and Silverman, 2005), has been the subject of much recent research interest. Examples of functional data can be found in several application domains, such as medicine, economics, meteorology and many others. Unfortunately, the multivariate data canonical correlation methods cannot be used directly for functional data, because of the problem of dimensionality and difficulty in taking into account the correlation and order of functional data. The problem of constructing canonical correlations and canonical variables for functional data was addressed by Leurgans et al. (1993), and further developments were made by Ramsay and Silverman (2005). In this paper we propose a new method of constructing canonical correlations and canonical variables for functional data.

On the Interpretation of Canonical Analysis

1972 ◽  
Vol 9 (2) ◽  
pp. 187-192 ◽  
Author(s):  
Mark I. Alpert ◽  
Robert A. Peterson
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Canonical Analysis ◽  
Canonical Correlations ◽  
Independent Variables ◽  
Shared Variation ◽  
Marketing Problems

Canonical correlation analysis has been increasingly applied to marketing problems. This article presents some suggestions for interpreting canonical correlations, particularly for avoiding overstatement of the shared variation between sets of independent variables and for explicating relationships among variables within each set.

The effectiveness of quality awards on the company's performance – the case of Iran's national quality awards

2020 ◽  
Vol 27 (4) ◽  
pp. 1319-1340
Author(s):  
Hossein Safari ◽  
Elham Razghandi ◽  
Mohammad Reza Fathi ◽  
Virgilio Cruz-Machado ◽  
Maria do Rosário Cabrita
Keyword(s):  
Logistic Regression ◽  
Correlation Analysis ◽  
Financial Performance ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Business Environment ◽  
Content Type ◽  
National Quality ◽  
Quality Awards ◽  
The Relationship

PurposeThe purpose of this study is to clarify the relationship between getting quality awards by companies and their financial performance in Iran's business.Design/methodology/approachIn the first step, the relationship between awards scores and financial performance by canonical correlation analysis was examined. Then, binary and multinomial logistic regression was used to determine the degree of impact of each financial performance measure on getting quality awards. Finally, two forecasting functions were explored: the probability of achieving quality awards and the probability of achieving different levels of these awards.FindingsBased on the analyzed data of 112 companies through canonical correlation analysis, there was a weak relationship between financial performance and getting quality awards. Also, by using logistic regression, no result was found to prove the impact of financial performance measures on getting Iran's national quality awards. It can be concluded that conceptually, deployment of excellence organizational models will not result in favorable outcomes, especially in the financial scope. Also, practically, excellence models have not been well deployed in Iranian companies, or these models do not fit to Iran's business environment. Organizational culture may not be consistent with quality.Originality/valueQuality awards are given to qualified companies following the establishment of models of excellence such as the European Foundation for Quality Management (EFQM). The main novelty of this research is to clarify the relationship between getting quality awards by companies and their financial performance in Iran's business.

scholarly journals Investigating the relationship between gender inequality and happiness of OECD countries using classical and robust canonical correlation analysesOECD ülkelerinde cinsiyet eşitsizliği ve mutluluk arasindaki ilişkinin klasik ve dayanikli kanonik korelasyon analizleri ile incelenmesi

2016 ◽  
Vol 13 (3) ◽  
Author(s):  
Selay Giray ◽  
Özlem Yorulmaz ◽  
Bilge Başcı
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Gender Inequality ◽  
Canonical Correlation ◽  
Pearson Correlation ◽  
Oecd Countries ◽  
Equal Rights ◽  
Inequality Index ◽  
Political Empowerment ◽  
The Relationship

Gender equality corrresponds to equal rights and opportunities of individuals based on their gender. However, gender inequality refers mostly  lack of women’s  economic and political empowerment. Socially constructed different gender roles can be observed mostly in daily life.  Gender inequality  which can be perceived as an important social dynamic affects the happiness of individuals and hence  happiness of society. In this study, the relationship between the sub indicators of Gender Inequality Index and Happines Index for OECD countries have been investigated using canonical correlation analysis based on both pearson correlation matrix and  MM  covariance estimator. As is known, canonical correlation analysis explores the relationships between two multivariate sets of variables. Findings indicate that there is a strong correlation between Gender Inequality Index and Happines Index. ÖzetToplumsal cinsiyet eşitliği kadınların ve erkeklerin, kız ve erkek çocuklarının eşit hak, sorumluluk ve fırsatlardan yararlanma hakkına sahip oldukları anlamına gelmektedir. Daha çok kadına yönelik cinsiyet eşitsizliği olarak yansıyan cinsiyet eşitsizliği ise kaynaklara ve fırsatlara ulaşmada eşitsizlik, iş hayatı ve siyasette kadının sınırlı olarak yer alması şeklinde tanımlanabilir. Cinsiyet eşitsizliğinin gündelik yaşamdaki yansıması en iyi çiftler arasındaki ilişkilerde ve toplumsal kültürel yapıda gözlenebilmektedir. Toplumsal dinamik olarak önemli bir faktör olan cinsiyet eşitsizliği doğrudan bireylerin mutluluğu ve dolayısıyla toplumun mutluluğu üzerinde oldukça etkilidir. Bu çalışmada OECD ülkelerine ait Cinsiyet eşitsizliği indeksi bileşenleri  ve mutluluk indeksi bileşenleri arasındaki ilişki Pearson korelasyon matrisi ve dayanıklı (robust) MM kovaryans tahmincisine dayalı kanonik korelasyon analizleri ile incelenmiştir. Bilindiği gibi kanonik korelasyon analizi, değişken setleri arasındaki ilişki incelenirken kullanılan bir çok değişkenli analiz tekniğidir. Her iki yaklaşıma göre elde edilen bulgular mutluluk indeksi ve cinsiyet eşitsizliği indeksi arasında güçlü bir ilişkiye işaret etmektedir.

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