high-speed ferry industry. The accuracy of the established regression equation has been seen to deviate appreciably by various sources of uncertainties. Verification of the equation with experimental database is also lacking to a certain extent. Further research is therefore needed to refine the accuracy as well as to complete the selection of crucial parameters employed. However, the results obtained have shown considerable promise, and a regression equation for predicting wave resistance of catamarans
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An Initial Study on the Comparison of Forecast Model for Electricity Consumption in Malaysia. Abstract The purpose of this article is to compare and determine the most suitable technique for forecasting the Electricity Consumption Malaysia. The data was obtained from Statistical Department from January 2008 until December 2012. Five univariate modeling techniques were used include Naïve with Trend Model, Average Percent Change Model, Single Exponential Smoothing, Holt’s Method Model and Holt-winter’s
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INFOANALYTICA FINANCIAL, ECONOMIC RESEARCH AND INDUSTRY ANALYSIS SUMMER INTERNSHIP REPORT ANANDARUP GHOSHAL 2008 ICFAI BUSINESS SCHOOL, AHMEDABAD SUMMER INTERNSHIP PROJECT FINANCIAL, ECONOMIC RESEARCH AND INDUSTRY ANALYSIS IBS AHMEDABAD 2|Page SUMMER INTERNSHIP PROJECT REPORT PROJECT AREA: FINANCIAL AND ECONOMIC RESEARCH AND INDUSTRY ANALYSIS FACULTY GUIDE: PROF. AMIT SARASWAT COMPANY NAME: INFOANALYTICA COMPANY GUIDE: ULLAS UNNIKRISHAN MARAR IBS AHMEDABAD
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Faculty of Business and Economics A comparison of two-stage segmentation methods for choice-based conjoint data: a simulation study Marjolein Crabbe, Bradley Jones and Martina Vandebroek DEPARTMENT OF DECISION SCIENCES AND INFORMATION MANAGEMENT (KBI) KBI 1109 A Comparison of Two-Stage Segmentation Methods for Choice-Based Conjoint Data: A Simulation Study Marjolein Crabbe Bradley Jones Martina Vandebroek Abstract Due to the increasing interest in market segmentation in modern marketing
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advertising strategy in place to become the industry leader. A regression analysis was performed using sales as the selected variable for the strong positive relationship to advertising budget. The correlation coefficient of sales with the advertising budget is 0.96, which was higher than the relationship of competitors advertising budget or retail coverage. Sales with a lower standard error indicate a better predicted forecast. Using the regression equation and expected sales of 2,400 million, the forecasted
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employed to gather data and test the model. Sampling involved a random selection of addresses from the telephone book and was supplemented by respondents selected on the basis of judgment sampling. Factor analysis and multiple regression were used to test the model. Findings – The regression model suggested that customer satisfaction was influenced most by responsiveness of the frontline employees, followed by price and food quality (in that order). Physical design and appearance of the restaurant did
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multinorm analysis. The deviations of each firm from a battery of industry norms (computed by nonparametric quantile regression) are used as input variables for the classifiers. The approach is applied to predict bankruptcy of firms, and tested on a representative data set of Spanish firms. Results indicate that the approach may provide significant improvements in predictive accuracy, both in linear and nonlinear classifiers. Ó 2011 Elsevier B.V. All rights reserved. Article history: Received 9 February 2011
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operating performance of Pakistani firms. Sample of 50 non-financial firms is selected from KSE-100 index of Karachi Stock Exchange of Pakistan. Descriptive analysis shows that there is an immense level of ownership concentration in Pakistani firms. Regression analysis suggested that there is a significant positive correlation among ownership concentration and firm’s operating performance. Naila Tabassum Center for Excellence in Research, Department of Management Sciences COMSATS Institute of Information
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ARTICLE IN PRESS Journal of Accounting and Economics 39 (2005) 509–533 www.elsevier.com/locate/jae To blame or not to blame: Analysts’ reactions to external explanations for poor financial performance$ Jan Barton, Molly Mercerà Goizueta Business School, Emory University, Atlanta, GA 30322, USA Received 3 March 2003; received in revised form 17 March 2005; accepted 4 April 2005 Abstract Managers often provide self-serving disclosures that blame poor financial performance on temporary external
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months, as well as advise his boss on what actions he should take for future production. The method we used to forecast the cell phone orders for the upcoming year is regression analysis; we calculated the linear regression formula from the given data, and then applied the formula to the later months. Based on the linear regression equation, we anticipate the cell phone industry to continue to grow over the next 12 months, but Jordan's boos should feel free to stray away from actual forecasts for
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