Traffic safety facts 2003: a compilation of motor vehicle crash data from the Fatality Analysis Reporting System and the General Estimates System.

Both systems were designed and developed by NHTSA's National Center for Statistics and Analysis (NCSA) to provide an overall measure of highway safety, to help identify traffic safety problems, to suggest solutions, and to help provide an objective basis on which to evaluate the effectiveness of motor vehicle safety standards and highway safety initiatives. Data from these systems are used to answer requests for information from the international and national highway traffic safety communities, including state and local governments, the Congress, Federal agencies, research organizations, industry, the media, and private citizens.

Traffic safety facts 1994 - a compilation of motor vehicle crash data from the Fatal Accident Reporting System and the General Estimates System.

Mode of access: Internet.

Traffic safety facts 1997 - a compilation of motor vehicle crash data from the Fatal Accident Reporting System and the General Estimates System.

Mode of access: Internet.

Traffic safety facts 1998 - a compilation of motor vehicle crash data from the Fatal Accident Reporting System and the General Estimates System.

Mode of access: Internet.

Traffic safety facts 1999: a compilation of motor vehicle crash data from the Fatal Accident Reporting System and the General Estimates System.

Mode of access: Internet.

Traffic safety facts 2002: a compilation of motor vehicle crash data from the Fatality Analysis Reporting System and the General Estimates System.

Mode of access: Internet.

Traffic safety facts 1992 - a compilation of motor vehicle crash data from the Fatal Accident Reporting System and the General Estimates System.

Mode of access: Internet.

Traffic safety facts 1993 - a compilation of motor vehicle crash data from the Fatal Accident Reporting System and the General Estimates System.

Mode of access: Internet.

Manual of accounting, reporting and business procedure of the city and county of Philadelphia. Effective January I, 1914.

Mode of access: Internet.

Business statistics data finder.

Mode of access: Internet.

Business statistics data finder.

Mode of access: Internet.

Electronic data processing for business and industry,

Bibliography: p. 325-327.

Caribbean Basin initiative : need for more reliable data on business activity resulting from the initiative /

"B-223841."--p. [1]

The Kress library of business and economics. Catalog, covering material published through 1776, with data upon cognate items in other Harvard libraries.

Arranged chronologically, with alphabetical index of authors and anonymous titles.

Selecting optimal instantiations of data models - Theory and validation of an ex ante approach

The schema of an information system can significantly impact the ability of end users to efficiently and effectively retrieve the information they need. Obtaining quickly the appropriate data increases the likelihood that an organization will make good decisions and respond adeptly to challenges. This research presents and validates a methodology for evaluating, ex ante, the relative desirability of alternative instantiations of a model of data. In contrast to prior research, each instantiation is based on a different formal theory. This research theorizes that the instantiation that yields the lowest weighted average query complexity for a representative sample of information requests is the most desirable instantiation for end-user queries. The theory was validated by an experiment that compared end-user performance using an instantiation of a data structure based on the relational model of data with performance using the corresponding instantiation of the data structure based on the object-relational model of data. Complexity was measured using three different Halstead metrics: program length, difficulty, and effort. For a representative sample of queries, the average complexity using each instantiation was calculated. As theorized, end users querying the instantiation with the lower average complexity made fewer semantic errors, i.e., were more effective at composing queries. (c) 2005 Elsevier B.V. All rights reserved.