Cover of Applied regression analysis

Applied regression analysis

by N. R. Draper · first published 1966

8mentions
2recommended by
2HN commenters
2008–2018first – last mentioned

100% recommend

This book provides a standard, basic course in multiple linear regression, but it also includes material that either has not previously appeared in a textbook or, if it has appeared, is not generally available.

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What Hacker News says

  • graycat · Dec 14, 2017 · Recommends

    …going back strongly to the early days of computers in the 1960s and a lot in the social sciences back to the 1940s and even about 1900. A lot is known. E.g., there's the now classic Draper and Smith, Applied Regression Analysis. Software IBM Scientific Subroutine Package (SSP), SPSS (Statistical Package for the Social Sciences), SAS (Statistical Analysis System), etc. does the arithmetic for texts such as Draper and Smith.…

    on “Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to” ↗
  • graycat · Jul 13, 2018 · Recommends

    …TeX): George W.\ Snedecor and William G.\ Cochran, {\it Statistical Methods, Sixth Edition.\/} A good, first, no toy, text on regression, with minimal prerequisites: N.\ R.\ Draper and H.\ Smith, {\it Applied Regression Analysis.\/} Some good books on regression and its usual generalizations, e.g., IIRC, factor analysis, i.e., principle components, discriminate analysis, etc.: Maurice M.\ Tatsuoka, {\it Multivariate Analysis:…

    on “Foundations Machine Learning” ↗
  • graycat · Dec 12, 2013 · Recommends

    …Algebraic Systems', Prentice-Hall, Englewood Cliffs, 1967. ======================================== Multivariate Statistics My main start with multivariate statistics was N. R. Draper and H. Smith, 'Applied Regression Analysis', John Wiley and Sons, New York, 1968. Apparently later editions of this book remain of interest. ---------------------------------------- A relatively serious book on 'regression analysis' is C.…

    on “Linear algebra tutorial in four pages” ↗
  • graycat · Jun 6, 2015 · Recommends

    …Wiley and Sons, 1971. C. Radhakrishna Rao, 'Linear Statistical Inference and Its Applications: Second Edition', ISBN 0-471-70823-2, John Wiley and Sons, New York, 1967. N. R. Draper and H. Smith, 'Applied Regression Analysis', John Wiley and Sons, New York, 1968. Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone, 'Classification and Regression Trees', ISBN 0-534-98054-6, Wadsworth & Brooks/Cole, Pacific…

    on “Statistical Data Mining Tutorials (2005)” ↗
  • waldrews · May 28, 2008 · Recommends

    …specialized. There's plenty of cookbooks with statements like "and then you should do this regression and compare the p-value to 5%," but that's not what you want. Any of several books with titles like Applied Regression Analysis or Multivariate Statistical Analysis will be at a more substantial level. After that there are specialist topics - experiment design, survival analysis, heavy tailed distributions, robust statistics,…

    on “Ask YC: Best book to learns statistics?” ↗
  • graycat · Jul 17, 2017 · Mentions

    …Mood, Franklin A. Graybill, and Duane C. Boas, Introduction to the Theory of Statistics, Third Edition, McGraw-Hill, New York, 1974. with more detail but still easy form in N. R. Draper and H. Smith, Applied Regression Analysis, John Wiley and Sons, New York, 1968. with much more detail and carefully done in C. Radhakrishna Rao, Linear Statistical Inference and Its Applications: Second Edition, ISBN 0-471-70823-2, John Wiley and…

    on “The Limitations of Deep Learning” ↗
  • graycat · Mar 1, 2018 · Mentions

    …function for that ML problem is quite special, e.g., quadratic. A lot has long been known and well polished in regression and classification, e.g., with TeX markup: N.\ R.\ Draper and H.\ Smith, {\it Applied Regression Analysis,\/} John Wiley and Sons, New York, 1968.\ \ Leo Breiman, Jerome H.\ Friedman, Richard A.\ Olshen, Charles J.\ Stone, {\it Classification and Regression Trees,\/} ISBN 0-534-98054-6, Wadsworth \& Brooks/Cole, Pacific…

    on “Machine Learning Crash Course” ↗
  • graycat · Jun 1, 2017 · Mentions

    …markup) Alexander M.\ Mood, Franklin A.\ Graybill, and Duane C.\ Boas, {\it Introduction to the Theory of Statistics, Third Edition,\/} McGraw-Hill, New York, 1974.\ \ N.\ R.\ Draper and H.\ Smith, {\it Applied Regression Analysis,\/} John Wiley and Sons, New York, 1968.\ \ C.\ Radhakrishna Rao, {\it Linear Statistical Inference and Its Applications:\ \ Second Edition,\/} ISBN 0-471-70823-2, John Wiley and Sons, New York, 1967.\…

    on “Acquisitions accelerate as tech giants seek to build AI smarts” ↗

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