Volumetric analysis

indicated that output growth negatively and signification affects stock prices. Ayodeji (1999): Investigated the weak from efficiency of the Nigerian stock market using correlation analysis. The results of his study support the evidence of weak form efficiency in the sense the technical analysis and other security analysis based on historical prices appear to be valueless in Nigeria. Ratner and Leal (1999) Tested ten variable length moving averages in the emerging market of Latin America and Asia. The

Power Flow Solutions using MATLAB ID: 1501113 Summary The power flow analysis involves the calculations of power flows and voltages of a transmission network for specified terminal or bus condition. Such calculations are required for the analysis of steady-state as well as dynamic performance of power systems [1]. The power flow is also called load flow. Some classification should be represented before carry out the analysis of power flow. Such as, the bus classifications or types like voltage-controlled

CI, 1.02-1.11). All of these differences were significant at P<.01. The comparative anti-social score was about 1.3 SDs higher among children identified as bullies than non-bullies, and the difference was significant at P<.001. In the regression analysis of the early bullying baseline control group,

Abstract— Data mining is the method of extracting the data from large database. Various data mining techniques are clustering, classification, association analysis, regression, summarization, time series analysis and sequence analysis, etc. Clustering is one of the important tasks in mining and is said to be unsupervised classification. Clustering is the techniques which is used to group similar objects or processes. In this work four clustering algorithms (K-Means, Farthest first, EM, Hierarchal)

informing research, practice, and policy initiatives” (p. 546). The Whittemore and Knafl (2005) integrative review method will be used for this review, which includes the following stages: problem identification, literature search, data evaluation, data analysis, and presentation. Problem

Starbucks is a Coffee Company that was founded in 1971 as a coffee retails company by three partners known as: Jerry Baldwin, Zev Siegal and Gordon Bowker located in Seattle in United States. The chairman and CEO of the company: Howard Schultz in 1987 took over the company and reformed it into a global brand by focusing on creating strong interpersonal relationships with customers and providing them with a highest quality of coffee. At present, Starbucks has reached to a maximum level of excellence

Case Analysis: Westlake Lanes: How can this business be saved? Problem in this case: Throughout the years Westlake Bowling lanes performance level was reducing, Shelby Givens was appointed as the general manager in order to make the situation better and repay the long-term loans. Board faced the situation whether to sell the business and repay the loans (or) to continue its operations as Shelby Givens plans shows promising revenue in the future. Porter’s 5-force model: 1) Threat for new entry:(High)

Staggering Revelations about Big Data According to the article, 2.8ZB of data has been created and replicated in 2012. The proliferation of devices such as PCs and smartphones worldwide, increased Internet access within emerging markets and the boost in data from machines such as surveillance cameras or smart meters has contributed to the doubling of the digital universe. IDC projects that the digital universe will reach 40 ZB by 2020, an amount that exceeds previous forecasts by 14%. Thus, data

Demand Forecasting In order to predict and estimate values for purchasing activities of a certain product or service, demand forecasting is used. Demand forecasting uses • Data from current activities within a company • Historic data in order to access future capacity requirements One vital method applied is exponential smoothing, which uses weights to the values observed. Due to its high-end spectrum of time convenience and its quick application, exponential smoothing creates a huge advantage

Since electricity demand and the regressors are in logarithms, the demand elasticities are directly derived from the coefficients. Monthly binary dummy covers from January to November and does not include dummy for December to avoid dummy variable trap. Severe multicollinearity between price variables of on-peak, mid-peak and off peak limited the estimation of cross price elasticity. We assume that individual error components are uncorrelated with each other. With regards to choice of econometric