Enterprise Risk Management ISSN 1937-7916 2010‚ Vol. 1‚ No. 1: E9 Application of Servqual Model on Measuring Service Quality: A Bayesian Approach Dr. K. Ravichandran‚ Assistant Professor‚ College of Business Administration in Alkharj‚ King Saud University‚ P O Box 165‚ 11942‚ Alkharj‚ Saudi Arabia. Email: varshal2@yahoo.com Dr. S. Prabhakaran‚ Assistant Professor‚ College of Business Administration in Alkharj‚ King Saud University‚ P O Box 165‚ 11942‚ Alkharj‚ Saudi Arabia. Email: jopraba@gmail
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Forecasting Models: Associative and Time Series Forecasting involves using past data to generate a number‚ set of numbers‚ or scenario that corresponds to a future occurrence. It is absolutely essential to short-range and long-range planning. Time Series and Associative models are both quantitative forecast techniques are more objective than qualitative techniques such as the Delphi Technique and market research. Time Series Models Based on the assumption that history will repeat itself‚
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use of an expert‚ the assumptions underlying‚ the change in the methods adopted and the reason for the change‚ plus how management has assessed the effect of estimation uncertainty. The auditor shall review the outcome of accounting estimates included in the prior period financial statements‚ or‚ where applicable‚ their subsequent re-estimation for the purpose of the current period. The nature and extent of the auditor’s review takes account of the nature of the accounting estimates‚ and whether the
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Int. J. Electron. Commun. (AEÜ) 63 (2009) 569 – 575 www.elsevier.de/aeue A bandwidth-efficient method for cancellation of ICI in OFDM systems Arvind Kumar∗ ‚ Rajoo Pandey Department of Electronics and Communication Engineering‚ National Institute of Technology (Deemed University)‚ Kurukshetra 136119‚ India Received 18 September 2007; accepted 14 April 2008 Abstract Orthogonal frequency division multiplexing (OFDM) is a very important modulation technique in wideband wireless communication
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time series involved‚ and to predict the future of this series based on the trends and patterns identified in the model. Since time series models only require historical observations of a variable‚ it is less costly in data collection and model estimation. . Time series models can broadly be categorized into linear and nonlinear Models. Linea models depend linearly on previous data points. They include the autoregressive (AR) models‚ the integrated (I) models‚ and the moving average (MA) models
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FIN 5309 - Estimation Methods - Part II Maximum Likelihood Estimation Guillaume Weisang Clark University gweisang “at” clarku “dot” edu Fall 2011 1 Introduction In this handout‚ I cover some results of point estimation that are essential for an understanding and an enlightened usage of financial econometrics in our FIN 5309 course. Approachable accounts of point estimation theory are available in many textbooks on statistical inference such as (Casella and Berger‚ 2002) and (Mittelhammer
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There Are Two OkunÕs Law Relationships Between Output and Unemployment Humberto Barreto and Frank Howland* Wabash College Abstract This paper corrects a fundamental error in the literature examining the OkunÕs Law relationship between the unemployment rate and the rate of growth of output. Since OkunÕs original work‚ biased estimates of the Okun Coefficient on Unemployment‚ output gaps‚ and potential GNP have been reported by authors who mistakenly assume that unbiased coefficient estimates
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GUI based Performance Analysis of Speech Enhancement Techniques Mr. Shishir Banchhor Mr. Jimish Dodia Ms. Darshana Gowda Ms. Pooja Jagtap Student‚ B.E. (EXTC) Student‚ B.E. (EXTC) Student‚ B.E. (EXTC) Student‚ B.E. (EXTC) K.J. Somaiya I.E.I.T K. J. Somaiya I.E.I.T K.J. Somaiya I.E.I.T K.J. Somaiya I.E.I.T Sion‚ Mumbai-22 Sion‚ Mumbai-22 Sion‚ Mumbai-22 Sion‚ Mumbai-22
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High Dynamic Carrier Tracking Using Kalman Filter Aided Phase-Lock Loop Weibin Li†‚‡‚ Shanjian Liu†‚‡‚ Chunhui Zhou‡‚ Shidong Zhou‡‚ Tingchang Wang† † Institute of Communication Engineering PLAUST Nanjing P‚ R China Email: liwb@wireless.mdc.tsinghua.edu.cn Abstract—Tracking dynamics on the GPS signal is still a big challenge to the receiver designer as the operating conditions are becoming more volatile. Usually‚ the Phase-locked loop (PLL) is used in GPS receivers to track
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approach is analogous to that used to model the time-varying parameter in smooth transition models. Using simulated data‚ we show that the new approach has the potential to outperform existing adaptive methods and constant parameter methods when the estimation and evaluation samples both contain a level shift or both contain an outlier. An empirical study‚ using the monthly time series from the M3Competition‚ gave encouraging results for the new approach. Keywords: Adaptive exponential smoothing; Smooth
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