An up-to-date, comprehensive treatment of a classic text on missing data in statistics The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling miss
Beginning Statistics with Data Analysis
β Scribed by Frederick Mosteller, Stephen E. Fienberg, Robert E.K. Rourke
- Publisher
- Dover Publications
- Year
- 2013
- Tongue
- English
- Leaves
- 608
- Series
- Dover Books on Mathematics
- Edition
- Reprint
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This authoritative treatment was co-written by Frederick Mosteller, one of the twentieth century's preeminent statisticians and the founding chairman of Harvard's Department of Statistics, and Stephen Fienberg, a leader of statistics departments at the University of Minnesota and Carnegie Mellon University and who is internationally known for innovative statistical research and its application to social science and public policy.
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Statistical analysis of data sets with missing values is a pervasive problem for which standard methods are of limited value. "Statistical Analysis with Missing Data" is a standard reference on missing-data methods.Blending theory and application, authors Roderick Little and Donald Rubin review hist
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