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Given that laminar ow ensures that the analogy between pipe ow and groundwater ow is a valid description of the manner in which groundwater moves from one place to another, what can we conclude about the driving forces for groundwater From our discussion of Figure 31, it is reasonable to expect that the driving force for groundwater at any one point is likely to re ect both the elevation of that point and the water pressure measured there This indeed has been found to be the case In a landmark paper published in 1940, MK Hubbert rigorously analyzed the driving forces of groundwater ow systems and concluded that it is the variations in the mechanical energy of the uid per unit mass which give rise to groundwater ow Hubbert (1940) proposed the term potential as a suitable shorthand for mechanical energy content per unit mass of water.

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The second section assesses the patients perceptions of the responses of signi cant people to their complaints of pain The third section examines the change in patients performance of common activities such as household chores and socializing The MPI and many other assessment measures are reviewed and critiqued in Turk and Melzack (1992, 2001) For many patients, there are no objective physical ndings to support the complaints of pain In other instances, the reports of pain severity seem excessive in light of physical ndings The dif cult task is to know how to evaluate these patients in a comprehensive fashion In instances where pain persists beyond the expected period of healing of an injury or.

FIGURE 23-10

Figure 7-20. A guest may choose to use the self-check-in option of a property management system. The process is initiated with a credit card. (Photo courtesy of Hyatt Hotels and Resorts.)

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Although the term potential is elegant and physically meaningful, it has largely been replaced in practice with the more earthy term head, which is the term we shall use throughout this book Head i at any given point on or below the water table equals the sum of:.

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has the same asymptotical stability conditions given by Eq. (A.3)-(A.5) as the algorithm (7.50). The intuitive justi cation of this Corollary is based on the fact demonstrated with equation (7.56), that both algorithms have almost the same convergence properties and the same equilibrium points corresponding to true estimation of source signals.

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For example, suppose that churners have higher levels of day minutes than those of nonchurners Then, when we balance the data set, the overall mean of day minutes will increase, since we have eliminated so many nonchurner records Here, the mean day minutes increased from 179775 to 183206 after balancing (not shown), since balancing eliminated half of the nonchurner records, which were associated with lower day minutes Such changes cannot be avoided when balancing data sets Thus, direct overall comparisons between the original and balanced data sets are futile, since changes in character are inevitable However, apart from these unavoidable changes, and although the random sampling tends to protect against systematic deviations, data analysts should provide evidence that their balanced data sets do not otherwise differ systematically from the original data set.

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This can be accomplished by examining the graphics and summary statistics from the original and balanced data set, partitioned on the categories of the target variable Of course, the churners records for both data sets are identical, so we may proceed to the evidence for the nonchurner records Figure 52 provides a comparison of the nonchurner records from the original data set and the balanced data set for the variables day minutes and customer service calls Figure 53 provides the distributions of International Plan members and VoiceMail Plan members for the original data set and the balanced data set There appear to be no systematic deviations If such deviations are uncovered, the balancing should be reapplied Cross-validation measures can be applied if the analyst is concerned about these deviations Multiple randomly selected balanced data sets can be formed and the results averaged, for example.

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