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The definition of a longitudinal survey presented in the first sentence of this chapter encompasses a multitude of different survey designs that are used in practice Longitudinal surveys can vary on a number of key dimensions that tend to have implications for various aspects of methodology These include features of the survey objectives, such as the study topics and the study population of interest (Binder, 1998), and features of the design such as the interval between waves, the mode of data collection, the treatment of new entrants to the population, and so on (Kalton and Citro, 1993) Some of the different types of longitudinal surveys are outlined below This is not intended as a comprehensive typology, but merely to give a flavour of the variety that exists: Surveys of businesses carried out by national or regional statistical offices.

6:4-4

These surveys tend to collect a limited range of information, typically restricted to key economic indicators Data may be collected at frequent intervals, such as monthly or quarterly, and the main objectives are usually to publish regular series of statistics on totals, means and net change between periods, often for cross-cutting domains such as regions and industries The rationale for a panel design is often to improve the precision of estimates of net change rather than an interest in estimates of gross change or any other micro-level longitudinal measures; Surveys of school-leavers, graduates or trainees Institutions offering education or training, such as universities, or government agencies responsible for related policy, often wish to assess the outcomes of such education or training at a micro (student) level.

108 86 70

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In this table we have taken unilateral versions of Borell s type inequality: namely, (2.31) and (2.32). The inequality with the median is sharper but even in this very favorable case, both inequalities are imprecise.

These outcomes are often medium term or long term and consequently it is necessary to keep in touch with students/trainees for some time after they have completed their study Longitudinal surveys are often used for this purpose, collecting.

(5.3)

0.13 4.01 4.17 2.10 3.91 1.50 4.24

2.20 2.77 4.41

discussions about mobile and xed convergence have also shown some signs of realizing this, at the time of writing this book. Tightly interrelated services and their users and the ef cient management of both will require a new approach in building OSS and BSS solutions. The modularity of the functionality provided will be the key to managing the new service business environment. From the currently provided solutions for vertical silos, the transformation to unify the functionality horizontally on a higher level requires major efforts to be made by both the operators and their suppliers. There are initiatives in service management standardization forums, such as Telemanagement Forum (TMF) and the OSS through Java TM (OSS/J) that address this challenge. New Generation OSS (NGOSS) from TMF de nes the framework and OSS/J provides guidance for the implementation of the applications and interfaces. The major efforts from a standardization point of view are issues such as the service model and interfaces between the different management modules. [NT04] Although the same service data model is not implemented through the infrastructure, there should be a mapping methodology within the elements in the system. The same applies to the interfaces throughout the individual parameters the service consists of.

This AntiPattern covers the tendency of developers to use the session as a giant flat data space to hang everything they might need for their application. The result is often seemingly random crashes and exceptions because data is put into the session with conflicting keys with different types.

Comparative Statistics Table 5.11. Table of data with values for x and y variable x 92 145 30 70 75 105 110 108 45 50 160 155 180 190 63 85 130 132 y 6.3 7.8 3 5.5 6.5 5.5 6.5 8 4 5 7.5 9 8.6 10 4.2 4.9 6 7

eitk x zk (dx).

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