The Future of Statistical Software: Proceedings of a Forum
Panel on Guidelines for Statistical Software, Commission on Physical Sciences, Mathematics, and Applications, Division on Engineering and Physical Sciences, National Research Council
National Academies Press, Jan 1, 1991 - Computers - 87 pages
This book presents guidelines for the development and evaluation of statistical software designed to ensure minimum acceptable statistical functionality as well as ease of interpretation and use. It consists of the proceedings of a forum that focused on three qualities of statistical software: richness--the availability of layers of output sophistication, guidance--how the package helps a user do an analysis and do it well, and exactness--determining if the output is "correct" and when and how to warn of potential problems.
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Morning Session Opening Remarks
Serendipitous Data and Future Statistical Software
Afternoon Session Opening Remarks
3 other sections not shown
algorithms American Statistical Association Andrew Kirsch applied approach assumptions AT&T Bell Laboratories audiences BARBARA RYAN box plot capabilities Carnegie Mellon University CLIFTON BAILEY confidence intervals context Daryl Pregibon data analysis software designed experiments diagnostics documentation encode environments estimation evaluation expert system expertise into software exploratory exploratory data analysis goal graph graphics guidance Guidelines for Statistical hypothesis testing implement important infrequent users innovation input interface interquartile ranges involved issue KEITH MULLER large data sets linear mathematical statistics mini-expert function Minitab non-statistician one-way ANOVA One-Way Examples options outlier output Panel on Guidelines PAUL TUKEY Paul Velleman problem procedure produce regression Research richness sample sciences scientific statistics serendipitous data sophisticated user specific standard statistical computing statistical expertise statistical packages statistical software statisticians strategy structure Student task techniques TESS things University variable variances vendors Virginia Commonwealth University William DuMouchel