scholarly journals Some correlation tests for vectors of large dimension

2021 ◽  
pp. 1-17
Author(s):  
M. Rauf Ahmad ◽  
S. Ejaz Ahmed
Keyword(s):  
Large Dimension ◽  
Correlation Tests

Non-Performing Loans, Banking System and Macroeconomy

2018 ◽  
Vol 63 (2) ◽  
pp. 67-86
Author(s):  
Akinola Morakinyo ◽  
Colette Muller ◽  
Mabutho Sibanda
Keyword(s):  
Exchange Rate ◽  
Serial Correlation ◽  
Banking System ◽  
Impulse Response Function ◽  
Credit Market ◽  
Variance Decomposition ◽  
Structural Var ◽  
Long Run ◽  
Correlation Tests ◽  
The Exchange Rate

Abstract The study builds on previous studies of the consequences of non-performing loans on an economy. Using a seven-by-seven matrix in the impulse response function (IRF) of the structural autoregressive model, we find a long-run impact of an impulse to non-performing loans on the banking system and the macroeconomy in Nigeria. Conversely, non-performing loans also respond to the innovation of all macro-banking variables aside from the exchange rate and the growth rate to GDP. Also, the level of non-performing loans grows in influence in relation to the changes to the exchange rate using the variance decomposition tool of Structural VAR. Hence, a prominent role is assigned to the level of NPLs in linking the friction in the credit market to the susceptibility of both the banking system and the macroeconomy. This study passes the serial correlation tests and the three tests of normality.

scholarly journals The Prospective Use of Brazilian Marine Macroalgae in Schistosomiasis Control

Marine Drugs ◽  
2021 ◽  
Vol 19 (5) ◽  
pp. 234
Author(s):  
Erika M. Stein ◽  
Sara G. Tajú ◽  
Patrícia A. Miyasato ◽  
Rafaela P. de Freitas ◽  
Lenita de F. Tallarico ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Marine Algae ◽  
Pearson Correlation ◽  
Marine Macroalgae ◽  
Parasitic Disease ◽  
Isolation And Identification ◽  
Promising Alternative ◽  
Schistosomiasis Control ◽  
Lead Compounds ◽  
Correlation Tests

Schistosomiasis is a parasitic disease that affects more than 250 million people. The treatment is limited to praziquantel and the control of the intermediate host with the highly toxic molluscicidal niclosamide. Marine algae are a poorly explored and promising alternative that can provide lead compounds, and the use of multivariate analysis could contribute to quicker discovery. As part of our search for new natural compounds with which to control schistosomiasis, we screened 45 crude extracts obtained from 37 Brazilian seaweed species for their molluscicidal activity against Biomphalaria glabrata embryos and schistosomicidal activities against Schistosoma mansoni. Two sets of extracts were taxonomically grouped for metabolomic analysis. The extracts were analyzed by GC–MS, and the data were subjected to Pattern Hunter and Pearson correlation tests. Overall, 22 species (60%) showed activity in at least one of the two models. Multivariate analysis pointed towards 3 hits against B. glabrata veliger embryos in the Laurencia/Laurenciella set, 5 hits against B. glabrata blastula embryos, and 31 against S. mansoni in the Ochrophyta set. Preliminary annotations suggested some compounds such as triquinane alcohols, prenylated guaianes, dichotomanes, and xenianes. Despite the putative identification, this work presents potential candidates and can guide future isolation and identification.

scholarly journals Large dimension forecasting models and random singular value spectra

2006 ◽  
Vol 55 (2) ◽  
pp. 201-207 ◽  
Author(s):  
J.-P. Bouchaud ◽  
L. Laloux ◽  
M. A. Miceli ◽  
M. Potters
Keyword(s):  
Singular Value ◽  
Large Dimension ◽  
Forecasting Models

Validation of a Belgian Prediction Model for Patient Encounters at Football Mass Gatherings

2021 ◽  
pp. 1-6
Author(s):  
Kris Spaepen ◽  
Door Lauwaert ◽  
Leonard Kaufman ◽  
Winne AP Haenen ◽  
Ives Hubloue
Keyword(s):  
Pearson Correlation ◽  
First Aid ◽  
Rank Test ◽  
Mean Deviation ◽  
Mass Gatherings ◽  
Actual Patient ◽  
Significant Difference ◽  
Correlation Tests ◽  
The Mean ◽  
Patient Presentation

Abstract Background: To validate the Belgian Plan Risk Manifestations (PRIMA) model, actual patient presentation rates (PPRs) from Belgium’s largest football stadium were compared with predictions provided by existing models and the Belgian PRIMA model. Methods: Actual patient presentations gathered from 41 football games (2010-2019) played at the King Baudouin Stadium (Brussels, Belgium) were compared with predictions by existing models and the PRIMA model. All attendees who sought medical help from in-event health services (IEHS) in the stadium or called 1-1-2 within the closed perimeter around the stadium were included. Data were analyzed by ANOVA, Pearson correlation tests, and Wilcoxon singed-rank test. Results: A total of 1,630,549 people attended the matches, with 626 people needing first aid. Both the PRIMA and the Hartman model over-estimated the number of patient encounters for each occasion. The Arbon model under-estimated patient encounters for 9.75% (95% CI, 0.49-19.01) of the events. When comparing deviations in predictions between the PRIMA model to the other models, there was a significant difference in the mean deviation (Arbon: Z = −5.566, P <.001, r = −.61; Hartman: Z = −4.245, P <.001, r = .47). Conclusion: When comparing the predicted patient encounters, only the Arbon model under-predicted patient presentations, but the Hartman and the PRIMA models consistently over-predicted. Because of continuous over-prediction, the PRIMA model showed significant differences in mean deviation of predicted PPR. The results of this study suggest that the PRIMA model can be used during planning for domestic and international football matches played at the King Baudouin Stadium, but more data and further research are needed.

Interval estimation in discriminant analysis for large dimension

2017 ◽  
Vol 46 (18) ◽  
pp. 9042-9052 ◽  
Author(s):  
Takayuki Yamada ◽  
Tetsuto Himeno ◽  
Tetsuro Sakurai
Keyword(s):  
Discriminant Analysis ◽  
Interval Estimation ◽  
Large Dimension

Strong coupling phase in lattice gauge theories at large dimension

1979 ◽  
Vol 161 (2-3) ◽  
pp. 397-416 ◽  
Author(s):  
J.-M. Drouffe ◽  
G. Parisi ◽  
N. Sourlas
Keyword(s):  
Strong Coupling ◽  
Gauge Theories ◽  
Large Dimension ◽  
Coupling Phase ◽  
Lattice Gauge ◽  
Lattice Gauge Theories

scholarly journals Correlation of birth weight with other anthropometric variables in detection of low birth weight (LBW) babies

2012 ◽  
Vol 17 (1) ◽  
pp. 29-32 ◽  
Author(s):  
Reema Afroza Alia ◽  
MA Mannan ◽  
Kanij Fatema ◽  
Fahmida Begum ◽  
Russel Siddique
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Observational Study ◽  
Pearson Correlation ◽  
Calf Circumference ◽  
Cross Sectional ◽  
Low Birth Weight Babies ◽  
Chi Squared ◽  
Correlation Tests ◽  
Level Of Significance

Objective: To assess the correlation of birth weight with other anthropometric variables and their appropriateness in prediction and detection of low birth weight babies. Methodology: It was a hospital-based cross-sectional observational study, conducted over 100 newborn babies within 24 hours of their birth. Birth weight and other anthropometric variables were recorded and analyzed with statistical package for social science (SPSS-17) and Student’s t-test, Chi-squared (?2), ANOVA and Pearson correlation tests were done to test the hypothesis and level of significance was set as p <0.05. Result: All the anthropometric variables were well correlated with birth-weight, irrespective of gestational age (p<0.01). The highest correlation was found with chest circumference (r = 0.962), while the lowest correlation was observed with calf circumference (r 0.923). Conclusion: All anthropometric variables except calf circumference can be considered as appropriate indicators for identifying neonates require special attention and intervention for low birth weight (LBW) where weighing machine or facilities for ultrasonography is not readily available. DOI: http://dx.doi.org/10.3329/jdnmch.v17i1.12189 J. Dhaka National Med. Coll. Hos. 2011; 17 (01): 29-32

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