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OLS Field Name OLS Field Data
Main Title Common errors in statistics (and how to avoid them) /
Author Good, Phillip I.
Other Authors
Author Title of a Work
Hardin, James W.
Publisher Wiley,
Year Published 2009
OCLC Number 264671141
ISBN 9780470457986; 0470457988
Subjects Statistics. ; Denkfehler.--(DE-588)4230931-1 ; Irrtum.--(DE-588)4140092-6 ; Statistik.--(DE-588)4056995-0 ; Matematisk statistik. ; Statistical analysis. ; Regression analysis.
Internet Access
Description Access URL
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017609429&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017609429&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Inhaltstext http://www.zentralblatt-math.org/zmath/en/search/?an=1180.62001
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA276.G586 2009 Research Triangle Park Library/RTP, NC 08/03/2009
EOBM  QA276.G58 2009 NEIC Library/Denver,CO 08/01/2011 STATUS
ERAM  QA276 .G586 2009 Region 9 Library/San Francisco,CA 10/04/2010
ESAM  QA276.G586 2009 Region 10 Library/Seattle,WA 09/28/2009
Edition 3rd ed.
Collation xiii, 273 p. : ill. ; 24 cm.
Notes
Includes bibliographical references (p. 237-257) and indexes.
Contents Notes
"A straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques ... This book addresses popular mistakes often made in data collection and provides a guide to accurate statistical analysis and reporting"--Publisher's description. pt. I. Foundations -- 1. Sources of error -- 2. Hypotheses : the why of your research -- 3. Collecting data -- pt. II. Statistical analysis -- 4. Data quality assessment -- 5. Estimation -- 6. Testing hypotheses : choosing a test statistic -- 7. Miscellaneous statistical practices -- pt. III. Reports -- 8. Reporting your results -- 9. Interpreting reports -- 10. Graphics -- pt. IV. Building a model -- 11. Univariate regression -- 12. Alternate methods of regression -- 13. Multivariable regression -- 14. Modeling correlated data -- 15. Validation.