Skip to main content

Goodness-of-Fit Tests

  • Chapter
  • First Online:
  • 5417 Accesses

Part of the book series: Springer Texts in Statistics ((STS))

Abstract

Goodness-of-fit tests are batteries of tests that test that the distribution of a sample is equal to some fixed-in-advance distribution. We already saw Q–Q plots in Chap. 5 where the samples were compared to some theoretical distributions but in a descriptive fashion, without formal inference. In this chapter we discuss the celebrated Pearson's χ 2-test and the Kolmogorov–Smirnov (KS) test.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   59.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Chapter References

  • Benford, F. (1938). The law of anomalous numbers. Proc. Am. Philos. Soc., 78, 551–572.

    Google Scholar 

  • Hill, T. (1998). The first digit phenomenon. Am. Sci., 86, 358–363.

    Google Scholar 

  • Hoaglin, D. C. (1980). A poissonness plot. Am. Stat., 34, 146–149.

    Article  Google Scholar 

  • Jarque, C. and Bera, A. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Econ. Lett., 6, 3, 255–259.

    Article  MathSciNet  Google Scholar 

  • Kemp, W. A. and Kemp, D. C. (1991). Weldon's dice data revisited. Am. Stat., 45, 3, 216–222.

    Article  MathSciNet  Google Scholar 

  • Kolmogorov, A. N. (1933). Sulla determinazione empirica di una legge di distributione. Gior. Ist. Ital. Attuari, 4, 83–91.

    MATH  Google Scholar 

  • Kvam, P. and Vidakovic, B. (2007). Nonparametric Statistics with Applications to Science and Engineering. Wiley, Hoboken.

    Book  MATH  Google Scholar 

  • Lilliefors, H. W. (1967). On the Komogorov-Smirnov test for normality with mean and variance unknown. J. Am. Stat. Assoc., 62, 399–402.

    Article  Google Scholar 

  • Pearl, R. (1907). Variation and differentiation in Ceratophyllum. Carnegie Inst. Wash. Publ., 58, 1–136.

    Google Scholar 

  • Pearse, G. E. (1928). On corrections for the moment-coefficients of frequency distributions. Biometrika, 20 A, 314–355.

    Google Scholar 

  • Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philos. Mag. Ser., 5, 50, 157–175.

    Article  Google Scholar 

  • Phillips, D. P. (1972). Deathday and birthday: an unexpected connection. In: Tanur, J. M. ed. Statistics: a guide to the unknown. Holden-Day, San Francisco, 52–65.

    Google Scholar 

  • Risebrough, R.W. (1972). Effects of environmental pollutants upon animals other than man. Proc. Sixth Berkeley Symp. on Math. Statist. and Prob., vol. 6, 443–453.

    Google Scholar 

  • Smirnov, N. (1939). On the estimation of the discrepancy between empirical curves of distribution for two independent samples. Bull. Math. Univ. Moscou, 2, 3–14.

    Google Scholar 

  • Stansfield, W. D. and Carlton, M. A. (2007). Human sex ratios and sex distribution in sibships of size 2. Hum. Biol., 79, 255–260.

    Article  Google Scholar 

  • Struhsaker, T. T. (1965). Behavior of the vervet monkey (Cercopithecus aethiops). Ph.D. dissertation, University of California-Berkeley.

    Google Scholar 

  • von Bortkiewicz, L. (1898). Das Gesetz der kleinen Zahlen. Teubner, Leipzig.

    Google Scholar 

  • Yates, F. (1934). Contingency table involving small numbers and the Â2 test. J. R. Stat. Soc., 1 (suppl.), 2, 217–235.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brani Vidakovic .

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Vidakovic, B. (2011). Goodness-of-Fit Tests. In: Statistics for Bioengineering Sciences. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0394-4_13

Download citation

Publish with us

Policies and ethics