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Purchased goods and services represent between 50 and 70 percent of a manufacturing company's value potential. Even in service industries, more than half of all services are purchased from other organizations. In other words, the majority of what a typical company is is defined by the components, materials, and services it acquires from outside sources. Conversely, vertical integration is becoming less and less credible, serving only to clutter many organizations with noncore competencies and decrease flexibility in terms of cost structure and adaptability in the marketplace. With more and more parts, materials. goods, and services purchased outside the organization, companies are altering the tenor of their supplier relationships. In this excerpt from Supercharging Supply Chains, the authors explain how organizations can improve strategic sourcing and supplier management by buying smarter.  相似文献   
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The aim of this article was to give an accessible introduction to stable distributions for financial modeling. There is a real need to use better models for financial returns because the normal (or bell curve/Gaussian) model does not capture the large fluctuations seen in real assets. Stable laws are a class of heavy‐tailed probability distributions that can model large fluctuations and allow more general dependence structures. WIREs Comput Stat 2014, 6:45–55. doi: 10.1002/wics.1286 This article is categorized under:
  • Applications of Computational Statistics > Computational Finance
  • Statistical and Graphical Methods of Data Analysis > Multivariate Analysis
  • Statistical and Graphical Methods of Data Analysis > Robust Methods
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Variational Bayes (VB) estimation is a fast alternative to Markov Chain Monte Carlo for performing approximate Baesian inference. This procedure can be an efficient and effective means of analyzing large datasets. However, VB estimation is often criticised, typically on empirical grounds, for being unable to produce valid statistical inferences. In this article we refute this criticism for one of the simplest models where Bayesian inference is not analytically tractable, that is, the Bayesian linear model (for a particular choice of priors). We prove that under mild regularity conditions, VB based estimators enjoy some desirable frequentist properties such as consistency and can be used to obtain asymptotically valid standard errors. In addition to these results we introduce two VB information criteria: the variational Akaike information criterion and the variational Bayesian information criterion. We show that variational Akaike information criterion is asymptotically equivalent to the frequentist Akaike information criterion and that the variational Bayesian information criterion is first order equivalent to the Bayesian information criterion in linear regression. These results motivate the potential use of the variational information criteria for more complex models. We support our theoretical results with numerical examples.  相似文献   
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Investigators often gather longitudinal data to assess changes in responses over time within subjects and to relate these changes to within‐subject changes in predictors. Missing data are common in such studies and predictors can be correlated with subject‐specific effects. Maximum likelihood methods for generalized linear mixed models provide consistent estimates when the data are ‘missing at random’ (MAR) but can produce inconsistent estimates in settings where the random effects are correlated with one of the predictors. On the other hand, conditional maximum likelihood methods (and closely related maximum likelihood methods that partition covariates into between‐ and within‐cluster components) provide consistent estimation when random effects are correlated with predictors but can produce inconsistent covariate effect estimates when data are MAR. Using theory, simulation studies, and fits to example data this paper shows that decomposition methods using complete covariate information produce consistent estimates. In some practical cases these methods, that ostensibly require complete covariate information, actually only involve the observed covariates. These results offer an easy‐to‐use approach to simultaneously protect against bias from both cluster‐level confounding and MAR missingness in assessments of change.  相似文献   
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With increasing frequency, firms are locating their operations in disparate countries with distinct national cultures and languages. This study develops and empirically tests hypotheses relating an operation's process compliance performance to (1) the presence of a language difference between the location of the operation and that of headquarters and (2) the national culture of the location of the operation and that of headquarters. Employing an international sample of pharmaceutical manufacturing plants located primarily in Western nations, the analysis reveals that a language difference between the location of a plant and the firm's headquarters is consistently related to decreased process compliance at the plant level. Regarding national culture, only limited evidence of a direct relationship between national cultural dimensions (at either the plant or headquarters location) and process compliance exists. However, the analysis does suggest that cultural congruence between the location of the plant and that of headquarters can relate to improved compliance performance. Such a relationship depends on the specific national cultural dimension studied. While these results are obtained in a specific manufacturing setting, they potentially have implications for process compliance in any global operation.  相似文献   
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Abstract

The authors anticipate that the primary use of this analysis will be to demonstrate journal price fluctuations by discipline and country of origin to department heads, university and hospital administrators, and others concerned (or who should be concerned) with the costs of health information. The authors expect to repeat this study on an annual basis and would welcome any comments.  相似文献   
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