scholarly journals SOME PROPERTIES OF THE PEARSON CORRELATION MATRIX OF GUTTMAN-SCALABLE ITEMS

1986 ◽  
Vol 1986 (1) ◽  
pp. i-23
Author(s):  
Rebecca Zwick
Keyword(s):  
Correlation Matrix ◽  
Pearson Correlation ◽  
Pearson Correlation Matrix

Writing Styles of Abstracts in Occupational Therapy Journals

1985 ◽  
Vol 48 (8) ◽  
pp. 244-246 ◽  
Author(s):  
Ashok Chandani
Keyword(s):  
Operating System ◽  
British Journal ◽  
Occupational Therapy ◽  
Canadian Journal ◽  
Correlation Matrix ◽  
Pearson Correlation ◽  
Negative Relationship ◽  
Formula One ◽  
Unix Operating System ◽  
Pearson Correlation Matrix

The readability grades of abstracts randomly selected from the American Journal of Occupational Therapy, the Australian Occupational Therapy Journal, the British Journal of Occupational Therapy, and the Canadian Journal of Occupational Therapy were studied through the program Style of the Unix operating system (computer). The formulae for readability grades used were the Kincaid formula, the automated readability index, the Coleman-Liau formula, and the Flesch formula. One-way analysis of variance was found to be significant (p<0.05) between the British and Australian journals in all four formulae. Based on samples of abstracts, the results indicated that the British journal is the easiest and the Australian journal is the most difficult to read of all four journals. A Pearson correlation matrix revealed a significant positive and negative relationship between some of the 12 variables in each journal.

scholarly journals Impact of Working Capital Management on Corporate Profitability- Empirical Evidence from Pharmaceutical Industry of Bangladesh

2018 ◽  
Vol 10 (9) ◽  
pp. 136
Author(s):  
Rakibul Islam ◽  
Mohammad Emdad Hossain ◽  
Mohammad Nazmul Hoq ◽  
Md. Morshedul Alam
Keyword(s):  
Regression Analysis ◽  
Correlation Matrix ◽  
Negative Impact ◽  
Pearson Correlation ◽  
Capital Management ◽  
Working Capital ◽  
Data Set ◽  
Working Capital Management ◽  
Pharmaceutical Firms ◽  
The Impact

Working capital management plays centric role in enhancing operational efficiency and their ultimate profitability. Globally financial managers have been searching the proper way on how to utilize working capital components which prolong profitability. The purpose of this study is to assess the impact of working capital components on profitability indicators of selected pharmaceutical firms in Bangladesh. The paper used financial data of 9 pharmaceutical firms listed in Dhaka stock exchange (DSE) covered 2011-2015. Two methods were used in this study for analysis data set. Firstly, to measure the relationship between selected variables Pearson Correlation matrix was used. Secondly, multiple regression analysis was used to investigate the impact working capital components on profitability of selected pharmaceutical firms. The study also conducted Durbin Watson test to assess autocorrelation of selected variables. In this study the correlation matrix identified a negative correlation between working capital components and profitability, whereas regression analysis found number of days account receivable (AR) had significant positive and current ratio (CR) and debt ratio (DR) had appeared a significant negative impact on profitability.

scholarly journals Integration of Proteomics and Metabonomics in Exploring the Protecting Mechanism of Gushukang Capsule in Osteoporosis Rats

2021 ◽  
Author(s):  
Ruohui LIN ◽  
Bingying XIE ◽  
Lihua XIE ◽  
Jirong GE ◽  
Shengqiang Li
Keyword(s):  
Metabolic Pathway ◽  
Pearson Correlation ◽  
Nucleotide Metabolism ◽  
Treatment Of Osteoporosis ◽  
Beta Alanine ◽  
Differential Proteins ◽  
Chinese Patent ◽  
The Common ◽  
Underlying Mechanisms ◽  
Pearson Correlation Matrix

Abstract Background Gushukang (GSK) capsule is a Chinese patent medicine for the treatment of osteoporosis (OP). It has been widely used in clinics. However, the specific mechanism and target of GSK in the treatment of osteoporosis is not clear, which needs further study. Methods Metabolomics (GC/MS) and proteomics (TMT-LC-MC/MC) together with bioinformatics (KEGG pathway enrichment), correlation analysis (pearson correlation matrix) and joint pathway analysis (Metabo Analyst) were employed to discover the underlying mechanisms of GSK. Results The regulations of differential proteins Cant1, Gstz1, Aldh3b1, Bid and Slc1a3 in the common metabolic pathway of differential proteins and metabolites between GSK/OP and OP/SHAM were corrected in GSK group. The regulations of 12 metabolites (Tyramine、Thymidine、Deoxycytidine、Cytosine、L-Aspartate and so on) were differential in the common enrichment metabolic pathway between GSK /OVX and OVX/SHAM. Differential proteins and metabolites jointly regulate 11 metabolic pathways, such as purine metabolism, pyrimidine metabolism, histidine metabolism, beta-Alanine metabolism and so on. Conclusion GSK may protect bone metabolism in osteoporosis rats by affecting nucleotide metabolism, amino acid metabolism and immune system.

scholarly journals Enhancing Item-Based Collaborative Filtering with Item Correlations for Music Recommendation System

2020 ◽  
Vol 9 (1) ◽  
pp. 1548-1553
Keyword(s):  
Collaborative Filtering ◽  
Digital Libraries ◽  
Correlation Matrix ◽  
Recommendation System ◽  
Pearson Correlation ◽  
Recommendation Systems ◽  
Vital Role ◽  
Music Recommendation ◽  
Filtering Method ◽  
Music Recommendation System

Music recommendation systems are playing a vital role in suggesting music to the users from huge volumes of digital libraries available. Collaborative filtering (CF) is a one of the well known method used in recommendation systems. CF is either user centric or item centric. The former is known as user-based CF and later is known as item-based CF. This paper proposes an enhancement to item-based collaborative filtering method by considering correlation among items. Lift and Pearson Correlation coefficient are used to find the correlation among items. Song correlation matrix is constructed by using correlation measures. Proposed method is evaluated on the benchmark dataset and results obtained are compared with basic item-based CF

scholarly journals Repeatability of morpho-agronomic characters of Theobroma grandiflorum fruits

2019 ◽  
Vol 41 (2) ◽  
Author(s):  
Ayulle Thalía Watson Alcoforado ◽  
Cássia Ângela Pedrozo ◽  
Marcos Miguel Mayer ◽  
Hyanameyka Evangelista de Lima-Primo
Keyword(s):  
Correlation Matrix ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Agroforestry System ◽  
Phenotypic Correlation ◽  
Transverse Diameter ◽  
Agronomic Characters ◽  
Theobroma Grandiflorum ◽  
Longitudinal Length ◽  
Minimum Number

Abstract The objective of this study was to estimate coefficients of repeatability, to determine the minimum number of fruits necessary for genotype selection and to estimate phenotypic correlation coefficients between morpho-agronomic characters of Theobroma grandiflorum fruits. It was evaluated twenty - two genotypes of an agroforestry system implanted in the municipality of Cantá - RR. Ten fruits per genotype were collected and evaluated for longitudinal length, transverse diameter, total weight, peel thickness, peel weight, pulp weight, placental weight and wet seed weight. Four statistical methods were used to estimate the repeatability coefficients: variance analysis, main components based on the correlation matrix and the covariance matrix, and structural analysis based on the correlation matrix. The number of measurements needed to predict the real value of the genotypes and the Pearson correlation coefficients among the characters were also estimated. The repeatability coefficients ranged from low to moderate, with 10 fruits per plant generally required, with 85% of confidence, in order to make an effective selection for most of the characters studied. There are possibilities of indirect gains for fruits with greater amount of pulp through the selection of larger and / or heavier fruits.

scholarly journals Exchangeable models of financial correlations matrices. Bayesian nonparametric models and network derived measures of financial assets

2019 ◽  
Vol 1 (1) ◽  
pp. 374-383
Author(s):  
Sorin Opincariu ◽  
Stefan Ionescu
Keyword(s):  
Representation Theorem ◽  
Correlation Matrix ◽  
Heavy Tails ◽  
Pearson Correlation ◽  
Centrality Measures ◽  
Financial Instruments ◽  
Financial Returns ◽  
Frequentist Statistics ◽  
Distributed Sampling ◽  
Independent And Identically Distributed

Abstract De Finetti theorem establishes the conceptual basis of Bayesian inference replacing the independent and identically distributed sampling hypothesis prevalent in frequentist statistics with the much easier to justify in practical settings hypothesis of exchangeability. In this paper we make use of the extension of the concept of exchangeability from sequences to arrays arguing that the invariance to ordering is a much more tenable assumption than independent and identically distributed sampling in the financial modeling problems. Making use of the celebrated Aldous-Hoover representation theorem of exchangeable matrix we construct a Bayesian non-parametric model of the financial returns correlation matrices arguing that a Bayesian approach can mitigate many of the known shortcomings of the usual Pearson correlation coefficient. We posit the correlation matrix to be an exchangeable matrix and construct a Bayesian neural network to estimate the functions from the Aldous-Hoover representation theorem. The correlation matrix model is coupled with a Student-t likelihood (accounting for the heavy tails of financial returns). The model is estimated with a Hamiltonian Monte Carlo sampler. The samples are used to construct an ensemble of networks where each edge is weighted by the size of the correlation between two financial instruments. Various centrality measures are being calculated (betweenness, eigenvector) for each network of the ensemble allowing us to obtain a probabilistic view of each financial instrument’s importance. We also construct a minimum spanning tree associated with the mean correlation matrix allowing us to visualize the most important financial instruments from the universe selected.

The Controlling of Ownership on the relationship between Financial Performance and Capital Structure in Indonesia

2020 ◽  
Vol 9 (3) ◽  
pp. 15-27
Author(s):  
Nicko Albart ◽  
Bonar Marulitua Sinaga ◽  
Perdana Wahyu Santosa ◽  
Trias Andati
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Pearson Correlation ◽  
Negative Relationship ◽  
Financial Statements ◽  
Multiple Regression Model ◽  
Controlling Variables ◽  
The Relationship ◽  
Pearson Correlation Matrix ◽  
The Capital Structure

The purpose of the study was to determine the determinants of the firms' capital structure concerning their maximum financial performance. To reach this aim, the data of the financial statements firms of Indonesia were used. As the first method, a Pearson correlation matrix was applied to determine a statistically significant correlation between capital structure indicator (debt-to-assets ratio) and financial performance and ownership of the firms. The analysis used the data panel multiple regression model to assess the effect of these independent and controlling variables on leverage. Some findings are that profitability has positive (ROA) and negative (ROE) effect on leverage. MBV and tangibility do not affect the capital structure, and firm size negatively impacts on it. In this panel analysis, it was confirmed that the managerial and institutional ownership impact on leverage negatively and positively, respectively. By decreasing the sales growth, the debt ratio entity rises, or they have a negative relationship. Based on these findings, it can be stated that financial performances influenced the capital structure.

scholarly journals Sperm morphology in relation to semen cation concentration in Yankasa rams

2019 ◽  
Vol 46 (3) ◽  
pp. 131-145
Author(s):  
I. O Suleiman ◽  
A. Y. Raji ◽  
A. O. Atanda
Keyword(s):  
Calcium Ion ◽  
Sperm Morphology ◽  
Pearson Correlation ◽  
Morphological Characteristics ◽  
Potassium Ion ◽  
Morphological Attributes ◽  
Cation Concentration ◽  
Major Criterion ◽  
The Relationship ◽  
Pearson Correlation Matrix

The morphological appearance of sperm cells is a major criterion in semen evaluation. The  optimal production of semen of high biological value is influenced by numerous factors.  Therefore, a study was conducted to evaluate the relationship between sperm morphological  characteristics and semen cation concentrations in 62 rams of Yankasa breed of sheep.  Semen samples were collected from each animal on weekly basis for 52 weeks with electro ejaculator. The sperm morphological characteristics examined were: detached mid-piece  and tail (DMT), detached head (DH), mid-piece droplet (MPD, coiled and bent tail (CBT)  and acrosomal abnormality (ACR). The semen cation parameters measured were: sodium  + + 2+ ion (Na ), potassium ion (K ) and calcium ion (Ca ). Pearson correlation matrix of SAS was  used to determine the relationships among and between the measured characteristics. The  result of the study showed that correlations among the sperm morphological characteristics  were low and not significant except that between DH and DMTwhich was perfect (p<0.01; r  = 1.00). On the other hand, semen cation concentrations were positively correlated but not  + significant among themselves except the correlation between Na and K (p<0.01; r = 0.37)  which was significant. Relating the semen cation concentration with sperm morphological  + characteristics, it was discovered that potassium ion (K ) measured was negatively and  significantly correlated with all the morphological attributes (DMT & DH, r= -0.36 @  p<0.01; CBT & ACR, r= -0.38 @ p<0.05; MPD, r= -0.32 @ p<0.05). It was concluded that  + + DH is highly associated with DMT while Na concentration was an indicator for K level in  the semen as shown in the result. Also, the higher the potassium ion in semen, the lower the  level of sperm morphological abnormalities and vice versa in Yankasa rams. 

scholarly journals Assessment of trace metal contamination by geochemical normalisation in sediments of two lagoons: A comparative study of the Kpeshie and Muni lagoons, Ghana

2021 ◽  
Vol 62 (1) ◽  
pp. 37-50
Author(s):  
M. K. Dorleku ◽  
C. Tay ◽  
K. M. Kumi ◽  
D. K. Amoah ◽  
L. Yawson ◽  
...  
Keyword(s):  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Pearson Correlation ◽  
Strong Association ◽  
Common Source ◽  
Urban Status ◽  
Significant Difference ◽  
Strong Relation ◽  
Mean Concentration ◽  
Pearson Correlation Matrix

Heavy metal contamination status of bottom sediments of two lagoons was compared by the employment of Enrichment Factor (EF) analysis for Iron (Fe), Manganese (Mn), Cupper (Cu), Lead (Pb), Chromium (Cr), Nickel (Ni), Silver (Ag), Zinc (Zn) and Mercury (Hg). Kpeshie Lagoon recorded enrichment (EF ≥ 1) for Cd, Pb, Ag, Hg and Zn, whilst Muni Lagoon recorded enrichment for Cd, Mn, Ag, Hg and Zn as metals of anthropogenic influence. Kpeshie, situated in a highly urbanized area, has 75% spatial distribution of Pb enrichment. The assessment shows that Ag and Hg are the most enriched metals in the sediments of both Lagoons, reaching extremely severe levels. Only Mn showed statistically significant difference in mean concentration of metals for both Lagoons. Pearson correlation matrix indicated that Pb had a strong relation with Ag, Hg and Zn (r = 0.956; p < 0.05) which is significant in Kpeshie. It also had a strong association with Ag and Hg but not with Zn (r = 0.240) in the Muni. The study clearly delineates Pb as a pollutant that designates the urban status of Kpeshie. Its associated metals; Ag, Hg and Zn which may be coming from a common source are from industrialized zones.

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