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Behr, A., Bellgardt, E. and Rendtel, U. (2005). Extent and determinants of panel attrition in the European Community Household Panel. European Sociological Review, 21, 489 512. Clarke, P. S. and Tate, P. F. (2002). An application of non ignorable non response models for gross flows estimations in the British Labour Force Survey. Australian and New Zealand Journal of Statistics, 44, 413 425. Deville, J. C. and Sarndal, C. E. (1992). Calibration estimators in survey sampling. Journal of the American Statistical Association, 82, 376 381. Ehling, M. and Rendtel, U. (2004). Harmonisation of Panel Surveys and Data Quality. Wiesbaden: Statistisches Bundesamt. Ernst, l. (1989). Weighting issues for longitudinal household and family estimates. In D. Kasprzyk et al. (Eds), Panel Surveys (pp. 139 159). Hoboken, NJ: John Wiley & Sons, Inc. Estevao, V. M. and Sarndal, C. E. (2000). A functional form approach to calibration. Journal of Official Statistics, 16, 379 399. Horvitz, D. G. and Thompson, D. J. (1952). A generalization of sampling without replacement from a finite universe. Journal of the American Statistical Association, 47, 663 685. Kalton, G. and Brick, J. M. (1995). Weighting schemes for household panel surveys. Survey Methodology, 21, 33 44. Kish, L. (1965). Survey Sampling. Hoboken: John Wiley & Sons, Inc. Kott, P. (2004). Using calibration weighting to adjust for nonresponse and coverage errors. Proceedings of the Mini Meeting on Current Trends in Survey Sampling and Official Statistics, Calcutta. http://www.nass.usda.gov/research/reports/calcutta for web.pdf Lavallee, P. (1995). Cross sectional weighting of longitudinal surveys of individual households using the weight share method. Survey Methodology, 21, 25 32. Lavallee, P. (2002). Le Sondage Indirect. Brussels: Editions de l Universite de Bruxelles.



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RegCloseKey( hKeyN2 ); return FALSE;

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We spend most of our time living in a mental world created by our brains even when we are assaulted by the real world around us. Every morning, I, along with thousands of others, travel to work on the London Underground. But for most of this time I am oblivious of the physical world around me. I am not day-dreaming in a private world of my own. I am reading books and newspapers. I have entered someone else s mental world. Without doubt our brain s most remarkable achievement is to permit communication between minds. The purpose of writing this book is to transfer ideas from my mind into yours. The Professor of English is devoting her life to the study of how we use words to create and communicate imaginary worlds. For the more practically minded there is much money to be made by developing and manufacturing products for communicating ideas. Not just books, but mobile phones and the internet. Sending ideas from one mind to another seems vital, almost a compulsion, for us. But if each mind is a private place, then this process of communication is impossible isn t it Consider the problem of translation. Figure 7.1 shows a famously obscure Chinese poem by Li Shang-Yin (812 858) that has been translated into English in many different versions. Even the titles of the poem have different translations: The Patterned Lute, The Inlaid Harp, The Ornamented Zither. Here are three versions of the ending of this poem:

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In Figure 8.4, the set T is the darkest of the shaded regions. 3. T represents the checksum m34 = c12 cg c4 co. 4. The translations of T by the nonzero elements of S are:

125 40

increases, in the broad sense, if one of the covariances rj k (j = k) increases, say r12 . For that purpose, write X = A , A a nonrandom supertriangular matrix and standard normal in Rn . Then reduce the problem to dimension 2 by means of conditioning on the values of 3 , . . . , n . 2.2. Prove that a direct consequence of the normal comparison lemma is that if X1 , . . . , Xn are standard normal variables with Cov(Xi , Xj ) = rij , then for any real numbers u1 , . . . , un , P

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Given only S(x) and t , we desire to determine the error locator polynomial A (x)and the error evaluator polynomial C (x). As stated, this problem seems hopelessly underconstrained. 2 However, recall that (6.37) means that O ( x > ( x 2 ' ) A(x)S(x) = S2(x) for some polynomial O ( x ) .(See (5.16).) Also recall that the extended Euclidean algorithm returns, for a pair of elements ( a , b) from a Euclidean domain, a pair of elements (s, t ) such that as bt = c,

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