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A Note on the Range-Rate Term The observation equation can be approximated as follows: LA(TA) = rA(tA, t j) + ctA ct j + ZA IA + BA j j j j = rA(TA tA, t j) + ctA ct j + ZA IA + BA j j j j j rA(TA, t j) rAtA + ctA ct j + ZA IA + BA j j j j j = rA(TA, t j) + (c rA)tA ct j + ZA IA + BA where we see that the effect can be accounted for by introducing the modelled range rate (ie, the relative speed of the satellite in the direction of view).

Guilty Innocent Guilty Ben-Shakhar & Furedy (1990, n = 10) Ekman (1985/2001, n = 6) Elaad (1998, n = 5) Honts (1995, n = 5) Lykken (1998, n = 8) MacLaren (2001, n = 22)

The prime for the satellite transmit time t j (which is used to compute the satellite coordinates) is to indicate that it is not the true transmit time, but the time computed using the nominal receive time TA A rst-order Taylor expansion has been used The higher order terms will only become signi cant error sources if the receiver clock bias is greater than about 10 ms, which does not usually happen with modern receivers In any case, clock biases greater than this amount would result in a worse error in relative position due to the effect of S/A Textbooks sometimes include a range rate term in the development of the phase observation model, even though, strictly speaking, it is unnecessary After all, the rst line of the above equation is correct, and the lack of a priori.

Figure 2.11 Infrared spectrum of a mull (cf. SAQ 2.3). From Stuart, B., Modern Infrared Spectroscopy, ACOL Series, Wiley, Chichester, UK, 1996. University of Greenwich, and reproduced by permission of the University of Greenwich.

Measurement error and the estimation of gross flows from longitudinal economic data Statistica, 3, 391 405 Sudman, S and Bradburn, N M (1973) Effects of time and memory factors on response in surveys Journal of the American Statistical Association, 68, 805 815 Tourangeau R, Rips, L J and Rasinski, K A (2000) The Psychology of Survey Response Cambridge: Cambridge University Press van de Pol, F and Langeheine, R (1997) Separating change and measurement error in panel surveys with an application to labour market data In L Lyberg et al (Eds), Survey Measurement and Process Quality (pp 671 688) New York: Wiley Vermunt, J K (1996) Log Linear Event History Analysis: A General Approach with Missing Data, Latent Variables and Unobserved Heterogeneity Tilburg: Tilburg University Press Wiggins, L M (1973) Panel Analysis: Latent Probability Models for Attitude and Behavior Change Amsterdam: Elsevier..

1 2 3

(a) (b) (c)

Three data sets were collected for this experiment, (see Table 7.1), but only the results of test 1 are discussed in detail in this chapter. Data collection was accomplished using Leica 500 series geodetic GPS receivers. Phase data processing was achieved with Leica Ski-Pro software. All coordinates were transformed from WGS-84 (World Geodetic System, 1984) to OSGB36 (Ordnance Survey of Great Britain, 1936) National Grid. 5.1. Accuracy of Solution

continuous functions de ned on T , and E the -algebra generated by the topology of uniform convergence on compact sets, one can conclude, for example, that the subspace of E of bounded functions has probability 0 or 1 under a centered Gaussian measure. The theorem can be applied in a variety of situations similar to standard function spaces. For example, put a measure on the space (E, E) and take for L an Lp of this measure space.

6 Bake for 30 minutes, stirring every 10 minutes. 7 Remove the granola from the oven, place the tray on a wire cooling rack, and allow to