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In Proceedings of the American Statistical Association, Section on Survey Research Methods (pp 225 230) Washington, DC: American Statistical Association Potter, F J (1993) The effect of weight trimming on nonlinear survey estimates In Proceedings of the American Statistical Association, Section on Survey Research Methods (pp 758 763) Washington, DC: American Statistical Association Rubin, D B (1987) Multiple Imputation for Nonresponse in Surveys New York: John Wiley & Sons, Inc Schafer, J L (1996) Analysis of Incomplete Multivariate Data New York: Chapman and Hall Schafer, J L and Graham, J W (2000) Missing data: our view of the state of the art Psychological Methods, 6, 147 177 Sikkel, D and Hoogendoorn, A (2008) Panel surveys In E D de Leeuw, J J Hox and D A Dillman (Eds), The International Handbook of Survey Methodology (pp 479 499) New York: Taylor & Francis..

78 Seven Steps to Build Your Own Customer Community were still novelties (and unfortunately, some companies haven t abandoned this outdated strategy). But those days are gone forever. Maybe it s a human impulse to believe that what s mine is better than what s yours, and companies fall into that trap just as individuals do. They believe that if they make a web site exciting, lively, colorful, and feature-rich, it will be better than other sites and attract attention. Your site may, in fact, be better, but so what What s in it for the customer The customer needs a real reason to show up. And that s where recruitment comes in.

module InterestApp { interface Interest { attribute string Name; attribute string Ssn; attribute double Principal; attribute unsigned long Years; attribute float Rate ; double calculateInterest(); }; };

2.46 2.39 2.33 2.28 2.24

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TABLE 3.2 Degrees of Polymerization vs. Stoichiometry for a Cerium(IV) Schiff-Base Polymera . CeIV : tsdb4 Stoichiometry 0.990:1.000 0.995:1.000 1.000:1.000 1.000:0.995 1.000:0.990 i cm3 /g 6.7 12.6 15.1 10.2 6.4 MN 7900 18,100 23,100 13,800 7500 DP 19 45 58 34 18

hen we discuss how to eat, we re not referring to whether your preferred utensils are forks and knives, chopsticks, or those most versatile of all implements your own fingers; rather, we re referring to such how-tos as portion size, meal timing, eating out, using artificial sweeteners, and so on. (For the inside scoop on what to eat, see 2.) Living with diabetes presents many eating challenges. What many of our patients tell us is that discovering which foods are healthy and which foods are unhealthy is the easiest part of the diabetes nutrition education process. Far trickier for most people to master are the more nuanced, less black-andwhite essentials like figuring out how much is a serving or portion size, how to divide up the different types of nutrients, and how to eat healthfully when you re away from home at a restaurant, at a party, on the road, and so forth. In this chapter we look at these challenges and provide tips to help you meet them.

Figure 4.1 Ivan Petrovich Pavlov (1849 1936) Pavlov (center) photographed with one of his dogs during a demonstration. He discovered classical conditioning, the most basic form of associative learning Source: RIA Novosti/Science Photo Library.

process. Most commercial polymers are based on covalent compounds of carbon, but synthetic polymers may also be based on inorganic atoms such as silicon. Infrared spectroscopy is a popular method for identifying polymers [1 7]. In this present chapter, the application of infrared spectroscopy to the study of polymeric systems will be introduced. Infrared spectroscopy may be used to identify the composition of polymers, to monitor polymerization processes, to characterize polymer structure, to examine polymer surfaces and to investigate polymer degradation processes.

For the remaining part, choose > 0 small enough so that it is suf cient to consider the k-tuple (s1 , . . . , sk ) in the integral in (3.16) as varying in a compact subset of I k \Dk (I ) outside which the integrand is equal to zero. This can be done given that the distance between J and the diagonal Dk (I ) is strictly positive and the support of is contained in [ , ]. Consider the expectation of the rst term of (3.17):

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