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What Industry Needs
Pages 5-9

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From page 5...
... Along with the uncertainties are immensely challenging and exciting problems that need serious work, and much of this work is statistical in nature. Examples close to home include network reliability, software quality, and dealing with massive data sets.
From page 6...
... The mission of the recently formed National Institute of Statistical Sciences is to provide a structure for cross-disciplinary research involving universities, industry, and government. In short, historical momentum, current opportunities, and some supportive organizational structures could all lead to acceleration of collaborative activities between statistics and other areas.
From page 7...
... , and those programs that lag behind are likely to find it increasingly difficult to attract and place good students, the chances of success would seem to be high. Basic building blocks of any program should continue to be well-rounded statistical knowledge including subjects such as data analysis, statistical computing, sampling linear models, experimental design, time series, multivariate analysis, and so forth.
From page 8...
... 1951. Pitfalls in the organization of interdisciplinary research.
From page 9...
... 1990. A statistical computing curriculum to meet industrial needs.


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