scholarly journals ESTIMATION OF CANONICAL CORRELATION METHOD OF RELATIONS BETWEEN MILK AND WOOL YIELD TRAITS IN AKKARAMAN SHEEP

2020 ◽  
pp. 43-47
Author(s):  
Ufuk Karadavut
Keyword(s):  
Canonical Correlation ◽  
Correlation Method ◽  
Yield Traits ◽  
Wool Yield

scholarly journals Measuring entrepreneurship determinants: empirical analysis

2021 ◽  
Vol 7 (2) ◽  
pp. 40-58
Author(s):  
Viktoriia Kyfyak ◽  
Olena Vinnychuk ◽  
Liudmyla Sybyrka ◽  
Liubov Vodianka
Keyword(s):  
Canonical Correlation ◽  
System Analysis ◽  
Correlation Method ◽  
Entrepreneurial Activity ◽  
Related Area ◽  
Global Competitiveness ◽  
Pairwise Correlation ◽  
Country Level ◽  
Business Efficiency ◽  
Main Determinants

Purpose. The aim of this article is to assess the main determinants that affect entrepreneurial activity, and also the mechanism of its regulation in five countries (Ukraine, Romania, Lithuania, Poland, Germany) during the period from 2007 to 2018. According to the purpose of the article it was empirically tested a number of hypotheses. Methodology / approach. The canonical correlation method is considered as a basic method for maximum correlations between groups of variables. The group of performance indicators includes: GDP per capita, the volume of output at market prices, Global Competitiveness Index as indicators that most completely reflect the results and efficiency of entrepreneurial activity. The group of factor variables includes entrepreneurial activity determinants, which to some extent affect the change of these entrepreneurial efficiency indicators. The advantages of the proposed method is possibility to analyze the multiple relationships between business results and the determinants that determine it. Results. The article examines a related area of the economy, namely entrepreneurship, which is largely related to agriculture. The article gradually reveals scientific approaches to identifying the determinants of entrepreneurial activity, followed by the methodology of the conducted research, analysis of results and substantiation of hypotheses. According to the aims of the article, the authors have got the following results: 1. To analyze the entrepreneurial environment, a systematic approach must be applied whereby all the determinants of the entrepreneurial environment are interrelated and influence one another. 2. The canonical correlation method allowed to determine the system of entrepreneurial activity determinants and to confirm the statement that each country has its own system of determinants. It is justified by the heterogeneity of the studied data sample, i.e. the presence of a large difference between the numerical values of indicators for selected countries. 3. The human development determinant is the key to business development in the country. Such conclusions are made on the basis of the determinants system analysis in Germany, where indicators of business efficiency are the highest. Originality / scientific novelty. The article proposes a method of assessing the determinants of entrepreneurial activity through the use of the canonical correlation method. This method allows us to investigate the relationship between two sets of variables and is a generalized version of pairwise correlation, as opposed to factor analysis, which is used to establish relationships within one set of variables. Practical value / implications. Presented study aims to extend the empirical knowledge on the measurement of entrepreneurship at the country level and its determinants. In assessing the determinants of the entrepreneurial environment, the main causes that lead to incomplete utilization of entrepreneurial potential remain unaccounted for. Particularly practical meaning may have a thorough analysis of the determinants of entrepreneurial activity in different countries. Modern European integration aspirations of Ukraine should be provided with real socioeconomic transformations in which the development of entrepreneurial activity is key. The beginning of an effective process of forming an efficient strategic approach to creating a favourable entrepreneurial environment for every country is to study the existing experience of other countries. For Ukraine, in particular, this is the experience of the EU countries.

The Correlation Between Income Inequality and Population Health

2022 ◽  
pp. 94-113
Author(s):  
Betül Inam ◽  
Dilek Murat
Keyword(s):  
Income Inequality ◽  
Population Health ◽  
Canonical Correlation ◽  
Correlation Method ◽  
Developing Nations ◽  
Current Data ◽  
Economic Indicators ◽  
Life Expectancy At Birth ◽  
The Rich ◽  
Output Indicators

Today, despite the increase in global wealth, the income gap between the rich and the poor gradually widens. This gap is significant in both developed and developing nations. Thus, increasing income inequality adversely affects several socio-economic indicators. Previous studies demonstrated that one of the socio-economic indicators that were negatively affected by income inequality is population health. The income inequality experienced by the individuals or throughout life adversely affects several populations' health outputs, especially life expectancy at birth. The present study aimed to test the correlation between income inequality and population health output indicators with canonical correlation method and based on the most current data available for several nations. To determine the correlation between the two datasets, the 2017 data for 29 European countries and Turkey were analyzed. Canonical correlation analysis revealed a significant correlation between the income inequality and population health indicator datasets.

Effect of genetic and non-genetic factors on milk yield and milkcomposition traits in Murrah buffaloes

2016 ◽  
Author(s):  
Anil Chitra ◽  
Anand Jain ◽  
Manoj Kumar ◽  
Poonam Ratwan ◽  
A. K. Gupta
Keyword(s):  
Milk Yield ◽  
Genetic Factors ◽  
Correlation Method ◽  
Total Solid ◽  
Correlated Response ◽  
Yield Traits ◽  
Fat Percentage ◽  
Murrah Buffaloes ◽  
Fat Yield ◽  
Heritability Estimates

The objective of the present study was to investigate the effect of genetic and non-genetic factors and to estimate genetic parameters of first lactation 305 days milk yield (FLMY305), 305 days fat yield (LFY), 305 days solid not fat yield (LSNFY), 305 days total solid yield (LTSY), 305 days fat percentage (FAT%), 305 days solid not fat percentage (SNF%) and 305 days total solid percentage (TS%) in Murrah buffaloes. The data of 315 Murrah buffaloes calved from 1993 to 2013 and sired by 47 bulls maintained in an organized farm at ICAR-National Dairy Research Institute, Karnal was analyzed to study the effect of genetic and non-genetic factors. Least squares analysis was done to estimate the effect of genetic and non-genetic factors on FLMY305, LFY, LSNFY, LTSY, FAT%, SNF% and TS%. Heritability estimates were obtained by using paternal half-sib correlation method. The heritability estimates for FLMY305, LFY, LSNFY, LTSY, FAT%, SNF% and TS% traits were found to be 0.30, 0.29, 0.30, 0.30, 0.05, 0.02 and 0.06, respectively. Very high and positive genetic and phenotypic correlations of FLMY305 with milk constituents’ yield traits implied that selection based on FLMY305 would result in correlated response in milk constituents yield traits and therefore need not to be considered separately for their improvement.

scholarly journals Aplikasi Korelasi Kanonikal Pada Faktor – Faktor Yang Mempengaruhi Angka Kematian Ibu Dan Bayi Di Provinsi Jawa Timur

2017 ◽  
Vol 4 (1) ◽  
pp. 5
Author(s):  
Endang Yuswatiningsih
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Maternal Mortality ◽  
Canonical Correlation ◽  
Correlation Method ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Strong Positive Correlation ◽  
Independent Variables ◽  
The Relationship

The purpose of this study was to analyze the relationship between maternal and infant mortality by influenced factors and the factors most closely associated with maternal and infant mortality rates in the province of East Java in 2012. This research uses canonical correlation method that aims to determine the relationship between two variables and identify the dimensions between two groups of variables. The results showed that the variable factors that affect maternal mortality and infant mortality has a strong positive correlation to variable maternal mortality and infant mortality rate. Highest impact of the independent variables for maternal mortality is pregnancy, postpartum maternal, neonatal visits, visiting the baby and toddler care was the infant mortality rate is the delivery by the shaman, neonatal visits and infant visits.;Keywords : canonical correlation, maternal mortality rates, infant mortality rates.

Application of cross correlation to HREM images of surfaces

1987 ◽  
Vol 45 ◽  
pp. 754-755
Author(s):  
D. E. Luzzi ◽  
L. D. Marks ◽  
M. I. Buckett
Keyword(s):  
Cross Correlation ◽  
A Priori ◽  
Matrix Material ◽  
Correlation Method ◽  
Accurate Knowledge ◽  
Complex Image ◽  
Fourier Filtering ◽  
The Matrix ◽  
Low Pass ◽  
Data Reduction Technique

As the HREM becomes increasingly used for the study of dynamic localized phenomena, the development of techniques to recover the desired information from a real image is important. Often, the important features are not strongly scattering in comparison to the matrix material in addition to being masked by statistical and amorphous noise. The desired information will usually involve the accurate knowledge of the position and intensity of the contrast. In order to decipher the desired information from a complex image, cross-correlation (xcf) techniques can be utilized. Unlike other image processing methods which rely on data massaging (e.g. high/low pass filtering or Fourier filtering), the cross-correlation method is a rigorous data reduction technique with no a priori assumptions.We have examined basic cross-correlation procedures using images of discrete gaussian peaks and have developed an iterative procedure to greatly enhance the capabilities of these techniques when the contrast from the peaks overlap.

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.

Cross-Correlation Method for the Formation of Laser Energy Fields with Complex Distributions

2013 ◽  
Vol 58 (2) ◽  
pp. 122-125 ◽  
Author(s):  
O.V. Gnatovskyy ◽  
◽  
A.M. Negriyko ◽  
V.O. Gnatovskyy ◽  
A.V. Sidorenko ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Laser Energy ◽  
Correlation Method
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