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The Future of statistical software : proceedings of a forum / Panel on Guidelines for Statistical Software, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences, Commission on Physical Sciences, Mathematics, and Applications, National Research Council.

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Format:
Book
Author/Creator:
National Research Council Staff, Corporate Author.
Language:
English
Subjects (All):
Mathematical statistics--Software.
Mathematical statistics.
Physical Description:
1 online resource (98 p.)
Edition:
1st ed.
Place of Publication:
Washington, D.C. : National Academy Press, 1991.
Language Note:
English
Summary:
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.
Contents:
THE FUTURE OF STATISTICAL SOFTWARE
Copyright
Preface
Contents
Morning Session Opening Remarks
Richness for the One-Way ANOVA Layout
STATEMENT OF THE PROBLEM
Rationale of Approach
Problem Boundaries.
RICHNESS DIMENSIONS
1. Epistemological Goals
2. Methods
3. Inputs
4. Outputs
5. Options
6. Structure
7. Internal Paths.
8. External Paths
9. Documentation
10. Audiences
WHAT NEXT?
Step Back
Jump In (Continuous Involvement)
REFERENCES
Serendipitous Data and Future Statistical Software.
WHERE IS STATISTICAL SOFTWARE GOING?
INNOVATIONS IN COMPUTING WILL OFFER NEW OPPORTUNITIES
CHALLENGES FOR STATISTICAL SOFTWARE
IS THE COMMERCIAL MARKETPLACE THE BEST SOURCE OF STATISTICAL SOFTWARE INNOVATION?
WHAT CAN WE DO TO ENCOURAGE INNOVATION?
WHAT CAN WE DO TO ENSURE QUALITY?
WHAT CAN WE DO TO PROMOTE PROGRESS?
REFERENCES.
Morning Discussion
Afternoon Session Opening Remarks
An Industry View
INTRODUCTION
REQUIREMENTS FOR "INDUSTRIAL-GRADE" SOFTWARE
IMPLICATIONS FOR RICHNESS.
IMPLICATIONS FOR GUIDANCE
CONCLUSION
Guidance for One-Way ANOVA
GOALS OF GUIDANCE
PHILOSOPHY OF GUIDANCE
RECOGNIZING THE ONE-WAY ANOVA PROBLEM
ADAPTIVE FITTING PROCEDURE
GUIDANCE FOR INTERPRETATION.
GUIDANCE FOR REPORT WRITING
GUIDANCE REGARDING TACIT TECHNICAL ASSUMPTIONS
Adjusting for Unequal Dispersions
Adjusting for Outlier-prone Data
Incorporating Statistical Expertise into Data Analysis Software
OVERVIEW
WHAT IS MEANT BY STATISTICAL EXPERTISE?
WHO NEEDS SOFTWARE WITH STATISTICAL EXPERTISE?
LIMITATIONS TO THE INCORPORATION OF STATISTICAL EXPERTISE
EFFORTS TO BUILD DATA ANALYSIS SOFTWARE
REX
Student
TESS
General Observations on TESS and Student
Mini-expert Functions.
CONCLUDING OBSERVATIONS
Afternoon Discussion
REFERENCE
Closing Remarks
Appendixes
Appendix A Speakers
Keith E. Muller
Paul F. Velleman
Andrew Kirsch
William DuMouchel
Daryl Pregibon
Appendix B Position Statements: Additional Material Submitted by Symposium Participants
R. Clifton Bailey
References
Michael P. Cohen.
James R. Knaub, Jr.
Reference
Jay Magidson.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references.
ISBN:
1-280-20329-3
9786610203291
0-309-58377-2
0-585-14503-2
OCLC:
44965181

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