Effective Use of Statistical Analysis for Data Collection and Model Development

by Mehmet M. Kunt, Univ of Texas at Austin, Austin, United States,
B. Frank McCullough, Univ of Texas at Austin, Austin, United States,



Document Type: Proceeding Paper

Part of: Infrastructure: Planning and Management

Abstract: Infrastructure managers require enormous amount of data for their planning, design, and construction operations. Often the emphasis on quality of data collection, analysis, and interpretation is neglected. This paper discusses ways of improving the quality of data its collection, and its interpretation by the effective use of statistical methods for model development. Improvement in all of these areas is essential for achieving robust data management system. The discussion is focused on model formulation and its relationship to data collection analysis, and interpretation. Data management can be improved if a manager interacts with a statistician to make use of the statistician's knowledge of statistical modelling.

Subject Headings: Data processing | Data collection | Information management | Data analysis | Statistics | Systems management | Management methods | Managers

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