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A nonparametric approach to the analysis of longitudinal by Reilly C.

By Reilly C.

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Extra resources for A nonparametric approach to the analysis of longitudinal data via a set of level crossing problems w

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For example, for criminal biographies, complete might mean all police records relating to a person, or it could mean police records, newspaper accounts, informer reports, and any number of other sources of information. And just when is informer reporting "complete"? These are the kinds of questions you must resolve by going back to the clients, posing situations, and probing into the meaning more deeply. You would presumably come out of this process with an understanding of how to assess the adequacy of information about a subject, potentially with some kind of metric indicating how adequate the information is, or a reliability metric for informers.

To make full use of the data model, however, leads you down at least two additional paths. First, you can choose to use multiple-valued data types in your relational tables through nested tables or typed attributes. For certain purposes, such as rapid application development tools that can take advantage of these features, this may be very useful. For the general case, however, I believe you should avoid these features unless you have some compelling rationale for using them. The internal implementations of these features are still primitive, and things like query optimization, indexes, levels of nesting, and query logic are still problematic.

You can either declare a table of a type, giving the table the type structure, or you declare a column in the table of the type, giving the column the type structure. You can therefore declare multiple tables of a single type, partitioning the type extension. In current systems, there is no way other than a UNION to operate over the type extension as a whole. Inheritance of the usual sort works with types and type extensions. To accommodate the needs of tables, Informix extends the concept to table inheritance based on type inheritance.

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