DETECTION OF OUTLIERS IN TIME SERIES DATA Samson Kiware, B.A. Marquette University, 2010 This thesis presents the detection of time series outliers. The data set used in this work is provided by the GasDay Project at Marquette University, which produces mathematical models to predict the consumption of natural gas for Local Distribution Companies (LDCs). Flow with no outliers is required to dev...

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,...

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...

The main objective of this paper is to examine the effects interest rate on economic growth in Gambia over period 1993 2017. Vector E rror Correction Model (VECM) used check relationships between dependent variable (Gross Domestic Product) and independent variables (Real Effective Exchange Rate Real Interest Rate), both short-run long-run. Post estimation tests, including Lagrange Multiplier te...

Purpose: The aim of this paper is to examine empirically the relationship between liquidity management and profitability Croatian small medium enterprises in trade provide empirical evidence effects on level during COVID-19 crisis. Methodology: analysis began with descriptive statistics, where authors observed following variables: ROA, current liquidity, accelerated immediate employment. collec...

This study aimed to evaluate the effect of peer performance, future competitive performance and factors of correlation with peer companies on the manipulation of abnormal real operations. The research subjects included listed companies in Tehran Stock Exchange during 2013-2017. In total, 128 companies were selected as the statistical sample using systematic elimination approach. Peer performanc...

Introduction: Non-uniformity test is essentially the only required daily QC procedure in nuclear medicine practice. Noise creates statistical variation or random error in a flood image. Non-uniformity on the other hand does not have statistical nature and may be regarded as systemic error. The present methods of non-uniformity calculation do not distinguish between these two types of erro...

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-...

BACKGROUND High bilirubin level is toxic to developing brain and auditory system but the current debate surrounds the toxicity of bilirubin in healthy term infants. METHODS Longitudinal observational study to find BERA abnormalities in term newborns with isolated hyperbilirubinemia of 20 mg/dL and more and to follow up babies at 3 months to find out about the reversibility in BERA abnormaliti...