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Data Analysis and Regression: A Second Course in Statistics (Classic Version), 1st edition

Published by Pearson (April 18, 2019) © 2020

  • Frederick Mosteller
  • John W. Tukey

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ISBN-13: 9780134995335
Data Analysis and Regression: A Second Course in Statistics (Classic Version)
Published 2019

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Two mainstreams intermingle in this treatment of practical statistics by eminent authors Frederick Mosteller and John Tukey. Data Analysis and Regression: A Second Course in Statistics presents (a) a sequence of philosophical attitudes the student needs for effective data analysis, and (b) a flow of useful and adaptable techniques that make it possible to put these attitudes to work. This title is part of the Pearson Modern Classics series; Pearson Modern Classics are acclaimed titles for advanced statistics and mathematics at a value price.

  1. Approaching Data Analysis
  2. Indication and Indicators
  3. Displays and Summaries for Batches
  4. Straightening Curves and Plots
  5. The Practice of Re-expression
  6. Need We Reexpress?
  7. Hunting Out the Real Uncertainty
  8. A Method of Direct Assessment
  9. Two-and More-way Tables
  10. Robust and Resistant Measures of Location and Scale
  11. Standardizing for Comparison
  12. Regression for Fitting
  13. Woes of Regression Coefficients
  14. Mechanisms Usually Operating in Linear Fitting
  15. Guided Regression
  16. Examining Regression Residuals

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