This paper examines the relationship between macroeconomic variables (Gross Domestic per capita, Energy Consumption, Trade Openness, and Foreign Direct Investment) CO2 Emissions in Philippines from 1981 to 2014. Using multivariate Ordinary Least Squares (OLS) regression, results indicate that GDP Openness are significant positively related parameters of emissions. Conversely, Investment is reve...

Based on outlier detection algorithms, a feasible quantification method for supraharmonic emission signals is presented. It designed to tackle the requirements of high-resolution and low data volume simultaneously in frequency domain. The proposed was developed from skewed distribution model self-tuning parameters density-based spatial clustering applications with noise (DBSCAN) algorithm. Spec...

We examine the assertion that the two-parameter lognormal distribution is an appropriate parametric model for the shot length distributions of Hollywood films. A review of the claims made in favour of assuming lognormality for shot length distributions finds them to be lacking in methodological detail and statistical rigour. We find there is no supporting evidence to justify the assumption of l...

In this paper, we consider economies in which agents are privately informed about their skills, which evolve stochastically over time. We require agents’preferences to be weakly separable between the lifetime paths of consumption and labor. However, we allow for intertemporal nonseparabilities in preferences like habit formation. We show that such nonseparabilities imply that optimal asset inco...

The assumption of normality has underlain much the development statistics, including spatial and many tests have been proposed. In this work, we focus on multivariate setting first review recent advances in for i.i.d. data, with emphasis skewness kurtosis approaches. We show through simulation studies that some these cannot be used directly testing data. further briefly few existing univariate ...

In this study, to power comparison test, different univariate normality testing procedures are compared by using new algorithm. Different and multivariate test also analyzed here. And review efficient algorithm for calculating the size corrected of which can be used compare efficiency test. Also randomness generated random numbers. For purpose, 1000 data sets with combinations sample n = 10, 20...

En la presente investigación se analizan los principales factores de atracción inversión extranjera directa en México el periodo 1995 a 2015, siendo estos crecimiento económico, inestabilidad económica, impuestos, costo mano obra, tamaño mercado y tipo cambio nominal establecidos con base teoría las evidencias empíricas. Dicho análisis hará mediante uso un modelo econométrico, metodología serie...

In this paper we construct high moment partial sum processes based on residuals of a GARCH model when the mean is known to be 0. We consider partial sums of kth powers of residuals, CUSUM processes and self-normalized partial sum processes. The kth power partial sum process converges to a Brownian process plus a correction term, where the correction term depends on the kth moment μk of the inno...

We derive general distribution tests based on the method of Maximum Entropy density. The proposed tests are derived from maximizing the differential entropy subject to moment constraints. By exploiting the equivalence between the Maximum Entropy and Maximum Likelihood estimates of the general exponential family, we can use the conventional Likelihood Ratio, Wald and Lagrange Multiplier testing ...

Preprocessing an image is an important element of image processing. When images are corrupted with fixed-value impulse noise or random-value impulse noise, it is essential to restore the quality of the degraded image using linear or non-linear filters, in order to make them suitable for subsequent processing. It has been proved that non-linear filters are effective in suppressing or eliminating...