Back to "Search By Author" Abstract Number: 002-0075 COMPARISON OF TQM AND ISO 9000 EFFECTS IN COMPANY PERFORMANCE: AN EMPIRICAL STUDY IN SPANISH COMPANIES SECOND WORLD CONFERENCE ON POM AND 15TH ANNUAL CONFERENCE, CANCUN, MEXICO, APRIL 30 - MAY 3, 2004. AUTHORS: Micaela Martínez-Costa University of Murcia, Spain mili@um.es Facultad de Economía y Empresa, Campus de Espinardo 30100, Murcia Phone: +34968367801 Fax: + 34 968 367537 Angel
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PROBLEMS: Standard setting Raw Materials . Shampoo Company is a chemical manufacturer that supplies industrial users. The company plans to introduce a new chemical solution and needs to develop a standard product cost for this new solution. The new chemical solution is made by combining a chemical compound (Nyclyn) and a solution (Salex), boiling the mixture; adding a second compound (Protet), and bottling the resulting solution in 20-liter containers. The initial mix, which is 20 liters
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Q U A N T I T A T I V E F I N A N C E V O L U M E 2 (2002) 45–60 INSTITUTE O F PHYSICS PUBLISHING RE S E A R C H PA P E R quant.iop.org Dynamics of implied volatility surfaces Rama Cont1,3 and Jos´ da Fonseca2 e Centre de Math´ matiques Appliqu´ es, Ecole Polytechnique, F-91128 e e Palaiseau, France 2 Ecole Superieure d’Ingenierie Leonard de Vinci, F-92916 Paris La D´ fense, e France E-mail: Rama.Cont@polytechnique.fr and jose.da fonseca@devinci.fr Received 20 September 2001 Published 4
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can be thought of. The aim of this paper is to discuss these implementation issues and give some guidance to researchers who want to use PSM for evaluation purposes. Keywords. Propensity score matching; Treatment effects; Evaluation; Sensitivity analysis; Implementation 1. Introduction Matching has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies (see e.g., Heckman et al., 1997a; Dehejia and Wahba, 1999), but empirical
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and searching to find specific methods that will result in increasing and augmenting natural rainfall and snowfall within different geographical areas of our planet. Despite extensive research over the years, up to only a few years ago statistical analysis of these weather and precipitation modification efforts commonly referred to as cloud seeding had not produced the scientifically convincing proof that is required to reach pertinent and reasonably accurate conclusions about the true effectiveness
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interpretation. Although descriptive statistics do not allow general conclusions and allow only limited interpretations, they are useful for understanding the study sample and establishing an appropriate framework for the further analysis in the study. Further analysis using appropriate statistical methods allows the researchers to establish correlations between independent and dependent variables, define possible outcomes, and identify areas of potential study in the future accurately. Statistics
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Dobbins Distillery, Inc. HBSP #189065 7p TN #189172 Tennessee, liquor distillery, 1988 The managing partner of a relatively new consulting firm is concerned because training costs at the firm's new training center are higher than expected. Analysis of actual costs compared to those expected is required. In addition, he is considering capitalizing some training costs for later amortization. A management control system for the center is also a priority. A distiller increases whiskey production
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PHStat2 Version 3.07 Readme PHStat2 is Windows software that assists you in learning the concepts of statistics while using Microsoft Excel. PHStat2 allows you to perform many common types of statistical analyses while using the familiar Microsoft Excel interface. The rest of this document is organized into sections that will assist you in setting up and using PHStat2. Note: In this document, the symbol è means “on the next submenu, select.” Table of Contents 1 PHStat2 Technical Requirements
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ratios with those of previous years, trends can be identified. Because many financial ratios tend to be preserved over time, these ratios are very valuable for the forecaster. The forecaster can estimate only one financial statement line item and, by applying this number to the various ratios, he can make a complete forecast. Grounding Business Forecasts in the Reality of the Industry and Macroenvironment An accurate forecast is made by recognizing not only internal data, but also external data. The
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assigning measures of accuracy (defined in terms of bias, variance, confidence intervals, prediction error or some other such measure) to sample estimates.[1][2] This technique allows estimation of the sampling distribution of almost any statistic using only very simple methods.[3][4] Generally, it falls in the broader class of resampling methods. Bootstrapping is the practice of estimating properties of an estimator (such as its variance) by measuring those properties when sampling from an approximating
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