Data Analysis, Communication, and Control / Roy E. Welsch.

By:

Welsch, Roy E

Contributor(s):

National Bureau of Economic Research

Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w0064.Publication details: Cambridge, Mass. National Bureau of Economic Research 1974.Description: 1 online resource: illustrations (black and white)Online resources:

Available additional physical forms:

Hardcopy version available to institutional subscribers

Abstract: The role of data analysis in communication, persuasion, and decision-making is discussed. Some problems with current data-analysis practice are presented, including communication, complex models, large data bases, one-pass processing, rigid assumptions, resistance, validity, prior information, access to new methods, and the responsiveness of data analysis researchers to real world needs. Recent progress in these areas is then outlined, with emphasis on graphics, Bayesian regression, robust estimation, and jackknife, and interactive computing systems. Some remaining challenges for data analysts and others who are trying to integrate data into decision-making processes are discussed.

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Holdings
Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w0064 (Browse shelf(Opens below))	Not For Loan

Total holds: 0

December 1974.

The role of data analysis in communication, persuasion, and decision-making is discussed. Some problems with current data-analysis practice are presented, including communication, complex models, large data bases, one-pass processing, rigid assumptions, resistance, validity, prior information, access to new methods, and the responsiveness of data analysis researchers to real world needs. Recent progress in these areas is then outlined, with emphasis on graphics, Bayesian regression, robust estimation, and jackknife, and interactive computing systems. Some remaining challenges for data analysts and others who are trying to integrate data into decision-making processes are discussed.