A., and Montenegro, M. (2001). Regression and correlation analyses of a linear relation between random inter- vals. Test , 10, 183-201.Gil MA, Lopez MT, Lubiano MA, and Montenegro M. Regression and correlation
Precious MetalsQuantile RegressionDynamic Conditional CorrelationThis study explores whether conditional correlations between precious metals and stock markets impact upon expected returns on precious metals. The empirical evdoi:10.2139/ssrn.3177426Ryuta SakemotoSocial Science Electronic Publishing...
A sex-specific correlation analysis showed a negative relation in female survivors for platelet-dependent peak height and/or ETP and RI only. An age adjusted linear regression model confirmed the negative association between RI and platelet-dependent ETP (beta estimate: 6.85, 95% confidence interval...
GR, and a model of multiple regression with its correspanding correlation coefficient to determine the influence of CA ETa and GR upon the IRI levels. The IRIo levels were 10.70卤5.46 and those of IRI60, 37.31+18.34 uU/ml, with a significant correlation with GR; the correlation coefficients...
A nonlinear relationship between electricity sales and temperature is estimated using a semiparametric regression procedure that easily allows linear transformations of the data. This accommodates introduction of covariates, timing adjustments due to the actual billing schedules, and serial correlation. The ...
Descriptive statistics, correlation and regression models are used to perform the data analysis. To examine income smoothing activities and relation between real and accounting earnings management, we use proxy variables of real and accounting earnings management estimated by Dechow, Kothari, and Watts (...
In the first step, the GARCH specification is used to model the volatility of the FFA prices; in the second step, the relationship between expected conditional volatility (led by one day) and the current BAS using the generalised method of moments (GMM) approach is investigated. The results ...
Poisson regression with a robust error variance with generalized estimating equations (GEE) estimation was used so that the associations of arsenic exposure and arsenic metabolism with HDP could be estimated. In this study, there was a significant relationship between the concentrations of urinary DMA ...
To assess the relation between ΔBW with measures of energy expenditure, linear (Pearson) regression was used to compare ΔBW with TEE, PAL, and TEEresiduals for both men and women. The Number Cruncher Statistical System (2007 version) was used for statistical analysis. All statistical tests ...
Relationship between GMST and HU in natural variability. (a–d) Lagged correlation (a) and lagged regression (b) of net heat uptake HU, net shortwave radiation (SWR), net longwave radiation (LWR) and turbulent (sensible plus latent) flux (THF; all positive downward) against GMST, based ...