Figure 1. Epidemiologic curve of a hand-foot-and-mouth disease outbreak in a Thai hospital nursery. 11. Saissi EH, Beau-Salinas F, Jonville-Bera AP, Lorette G, Autret-Leca E. Drugs associated with acute generalized exanthematic pustulosis (in French). Ann Dermatol Venereol 2003; 130:612–8. 12. Sidoroff A, Halevy S, Bavinck JN, Vaillant L, Roujeau JC. Acute generalized exanthematous pustulosis (...

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 ...

This paper derives several Lagrange Multiplier tests for the panel data regression model wih spatial error correlation. These tests draw upon two strands of earlier work. The Þrst is the LM tests for the spatial error correlation model discussed in Anselin (1988, 1999) and Anselin, Bera, Florax and Yoon (1996), and the second is the LM tests for the error component panel data model discussed in...

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...

Blastocystis sp. is a familiar parasite in the gastrointestinal tract causing infection humans and animals. The purpose of this study to evaluate prevalence three sorts livestock; cattle, goats, sheep Pahang, Malaysia, which are reared under two management systems; intensive semi-intensive farm system. About 92, 96, 65 goat, fecal samples respectively were collected from different farms around ...

Traditional onefold data-driven methods for fault detection in complex process industrial systems with high-dimensional, linear, nonlinear, Gaussian, and non-Gaussian coexistence often have less than satisfactory monitoring performance because only a single distribution of variables is considered. To address this problem, hybrid model based on PCA-KPCA-ICA-KICA-BI (Bayesian inference) proposed,...

Purpose The purpose of this study is to assess the extent which Ghana stock market performance has been impacted by novel COVID-19 pandemic. Design/methodology/approach used exponential generalized autoregressive conditional heteroscedasticity (EGARCH) model, using daily time series data from 2 January 2015 13 October 2020. Both pre-estimation (Augmented Dickey-Fuller and Phillips-Perron) post-...

This study takes into account the newly developed hybrid ARIMA-FIGARCH. We use daily price index of S&P 500. The data employed for this was secondary in nature all variables and obtained from publications Central Bank Nigeria Bulletin, National Bureau Statistics, World Statistics Database, dated January 2005 to December 2020. Also, result Jarque-Bera test indicated that p-values were less t...

Due to multi-layer encoding and Inter-layer prediction, Scalable High Efficiency Video Coding (SHVC) has extremely high coding complexity. It is very crucial improve its speed so as promote widespread cost-effective SHVC applications. In this paper, we propose a new probability-based fast Intra prediction algorithm for spatial SHVC. More specifically, first, integrate depth probabilities with t...