Norman Richard Draper (1931–2022)
Autor von Applied Regression Analysis
Über den Autor
Werke von Norman Richard Draper
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Wissenswertes
- Gebräuchlichste Namensform
- Draper, Norman Richard
- Geburtstag
- 1931-03-20
- Todestag
- 2022-06-19
- Geschlecht
- male
- Nationalität
- UK
- Geburtsort
- Southhampton, Hampshire, England, UK
- Ausbildung
- University of North Carolina, Chapel Hill (PhD|Mathematics|1958)
- Berufe
- mathematician
statistician
university professor emeritus - Beziehungen
- Bose, R. C. (teacher)
Mitglieder
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- 3
- Mitglieder
- 165
- Beliebtheit
- #128,476
- Bewertung
- 4.0
- Rezensionen
- 1
- ISBNs
- 11
For me, as a practicing statistician for many years, what sets this book apart from its counterparts are Chapters 1 and 3. The discussion of the basic concepts of simple linear regression in Chapter 1, particularly the discussion from pages 8 to 31 of the 2nd edition, is simply the best explanation of the process I have encountered. Of particular value are the paragraphs and sentences in section 1.4 – Examining the Regression Equation. I have quoted the words at the bottom of page 22 and the top of page 23 to more people under more circumstances than I can recall. They completely destroy the ridiculous notion offered up in books, papers, internet chat rooms, etc. concerning the supposed need for Y and/or X to be normally distributed before one can use regression analysis to analyze the data.
As for Chapter 3 – it clearly explains the NEED for graphical analysis of residuals. It also, by illustration, provides an understanding of why the current general practice of just applying tests such as the Anderson-Darling or the Shapiro-Wilks or any other test for normality of residuals without a first careful examination of the graphs of the residuals guarantees you will go wrong with great assurance.
About the only major residual pattern not discussed in Chapter 3 is that of sloped parallel lines. For the interested reader, Searle discussed this pattern in a 1988 article in Technometrics.
This copy is the 2nd edition of the book. It has gone into a 3rd edition and is still available. I would recommend this book to anyone interested in learning the methods of linear regression or in obtaining a better understanding of what is going on when you click on “run regression” in whatever statistics package you happen to be using.… (mehr)