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35 A McNeil Estimating the tails of loss severity distributions using extreme value theory Astin Bull, 27:117 137, 1997 36 A G Pakes On the tails of waiting-time distributions J Appl Probab, 12:555 564, 1975 37 S Resnick Discussion of the Danish data on large re insurance losses Astin Bull, 27:139 151, 1997 38 S Resnick Heavy tail modeling and teletraf c data Ann Statist, 25:1805 1869, 1997 39 S Resnick Why non-linearities can ruin the heavy tailed modeler's day In M S Taqqu, R Adler, and R Feldman, eds, A Practical Guide to Heavy Tails: Statistical Techniques for Analysing Heavy Tailed Distributions Birkhauser, Boston, 1998 40 S Resnick and G Samorodnitsky Performance decay in a single server exponential queueing model with long range dependence Oper Res, 45:235 243, 1997 41 S Resnick and G Samorodnitsky.



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It will likely cost you more money to hire well-trained and experienced people, but it is almost always worth the expense Vendor salespeople represent another useful resource Although their productspecific information may be somewhat slanted, they can often obtain experts in their specific field of interest who can come and give non sales-specific talks Salespeople can also provide reference sites, where you can verify that their solutions work as they advertise them and you can learn about the vendor and the product at a level that the sales team can be reluctant to provide..





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Activity periods of an in nite server queue and performance of certain heavy tailed uid queues Available as TR1201psZ at http:==wwworiecornelledu=trlist=trlisthtml, 1998 To appear: QUESTA 42 S Resnick, G Samorodnitsky, and F Xue How misleading can sample acf's of stable ma's be (very!) Ann Appl Probab, 1998 Technical report 1209; available at wwworiecornelledu=trlist=trlisthtml To appear: Ann Appl Prob 43 S Resnick and E van den Berg Sample correlation behavior for the heavy tailed general bilinear process Technical report 1210; available at wwworiecornelledu= trlist=trlisthtml, 1998 To appear: Stochastic Models 44 S I Resnick Extreme Values, Regular Variation and Point Processes Springer-Verlag, New York, 1987 45 S I Resnick Adventures in Stochastic Processes Birkhauser, Boston, 1992 46 S I Resnick and H Rootzen Self-similar communication models and very heavy tails Available as TR1228psZ at www.

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oriecornelledu=trlist=trlisthtml, 1998 To appear: Ann Appl Prob 47 L Takacs An Introduction to Queueing Theory Oxford University Press, New York, 1962 48 M Taqqu, W Willinger, and R Sherman Proof of a fundamental result in self-similar traf c modeling Comput Commun Rev, 27:5 23, 1997 49 W Willinger, M S Taqqu, M Leland, and D Wilson Self-similarity through high variability: statistical analysis of Ethernet LAN traf c at the source level Comput Commun Rev, 25:100 113, 1995 Proceedings of the ACM SIGCOMM'95, Cambridge, MA 50 A P Zwart A uid queue with a nite buffer and subexponential input COSOR Memorandum 98-25, Eindhoven University at Technology; available at http:==www wintuenl=math=bs=cosor98html, 1998..

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Self-Similar Network Traf c and Performance Evaluation, Edited by Kihong Park and Walter Willinger Copyright # 2000 by John Wiley & Sons, Inc. Print ISBN 0-471-31974-0 Electronic ISBN 0-471-20644-X

The basic premise of social media is that it is Out There and you can t control it. In fact, you shouldn t try to control it. But you can bring it in closer. You can bring the social aspect onto your premises (your web site) and encourage people to be a part of a subject-speci c conversation that subject being your goods and services. You know better than anyone else what you want from Starbucks. So tell us. What s your Starbucks Idea Revolutionary or simple we want to hear it. Share your ideas, tell us what you think of other people s ideas and join the discussion. We re here, and we re ready to make ideas happen. Let s get started. (http://mystarbucksidea.force.com/) It s a simple idea: Crowdsource ideas. Ask your customers to tell you how to make your service better. Then ask them to comment on those suggestions. Then ask them to vote on their suggestions. The most popular idea for Starbucks from customers A bigger pat on the back to their workers (Figure 6.5). This concept caught on big with computer manufacturer and seller Dell, which launched the IdeaStorm (www.ideastorm.com) in February 2007 (Figure 6.6). From concept to implementation took all of three weeks. They were serious about knowing what their customers are thinking. That kind of movement at a company this size implies approval from the very top.

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