Bibliografia - Testy permutacyjne

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Wybrane pozycje dotyczące testów permutacyjnych

Alroy J (1994) Four Permutation Tests for the Presence of Phylogenetic Structure. Systematic Biology, vol. 43, 430 – 4537.
Aly E-E A. A. (1990) Simple tests for dispersive ordering, Statistics.Probability Letter, vol. 9, 323 – 325.

Bailer A. J. (1989) Testing Variance Equality with Randomization Tests, Journal of Statistical Computation and Simulation, vol. 31, 1 – 8.
Basso D., Pesarin F., Salmaso L., Solari A. (2009) Permutation Tests for Stochastic Ordering and ANOVA, Springer Science+Business Media, Heidelberg
Berry K. J., Johnston J. E., Mielke Jr. P. W. (2014) A Chronicle of Permutation Statistical Methods, Springer International Publishing, New York.

Curran-Everett D. (2012) Explorations in Statistics: Permutation Methods, Advanced in Physiology Education, vol. 36, 181 – 187.

Good P. I. (1994) Permutation Tests: A practical guide for testing Hypotheses, Springer-Verlag, New York.
Good P. (2005) Permutation, Parametric and Bootstrap Tests of Hypotheses, Springer Science Business Media, Inc., New York.
Good P. (2006) Resampling Methods. A Practical Guide To Data Analysis. Birkhauser. Boston-Basel-Berlin, 2006.

Kennedy P. E. (1995) Randomization Tests in Econometrics, Journal of Business & Economic Statistics, vol. 13, 85 – 94.
Kim, H. J., Fay, M., Feuer, E. J.,Midthune, D. N. (2000) Permutation tests for joinpoint regression with applications to cancer rates. Statistics in Medicine, 19, 335-351

Lehmann E. L., Romano J. P. (2005) Testing Statistical Hypothesis, Springer Science+Business, Inc., New York.
Lehmann E. L. (2011) Fisher, Neyman, and the Creation of Classical Statistics, Springer Science+Business, Inc., New York.
Legendre P. (2000) Comparison of Permutation Methods for the Partial Correlation and Partial Mantel Tests, Journal of Statistical Computation and Simulation, vol. 67, str. 37 – 73.
Lunneborg  C., (1999) Data Analysis by Resampling: Concepts and Applications. Belmont, CA: Duxbury Press.

Manly, B.F.J. (2007). Randomization, Bootstrap and Monte Carlo Methods in Biology. Chapman & Hall, New York.
Mc Ginnis R. (1958) Randomization and Inference in Sociological Research, American Sociological Review, vol. 23, 408 – 414.
Mielke P. W., Berry K. J. Jr. (2007) Permutation Methods. A Distance Function Approach. Springer Science+Business Media, LLC. New York.

O’Gorman T. W. (2012) Adaptive Tests of Significance Using Permutations of Residuals with R and SAS, John Wiley and Sons, New Jersey.

Pesarin F. (2001) Multivariate Permutation Tests with Applications in Biostatistics,  John Wiley & Sons, Ltd. Chichester.
Pesarin F., Salmaso L. (2010) Permutation Tests for Complex Data. Theory, Applications and Software, John Wiley & Sons, Inc. Chichester.

Pitman E. J. C., (1937) Significance tests which may be applied to samples from any populations. Supplement to the Journal of the Royal Statististical Society 4, 119–130.

Romano J. (1989) Bootstrap and Randomization Tests of Some Nonparametric Hypotheses, The Annals of Statistics, vol. 17, No. 1, str. 141 – 159.

Simon J.L. (1997) Resampling: The new statistics. Duxbury, Pacific Grove.

Tanizaki H. (2006) On Small Sample Properties of Permutation Tests: a Significance Test for Regression Models, Kobe University Economic Review, vol. 52, str. 27 – 40.

Wald A., Wolfowitz J. (1944) Statistical tests based on permutations of obserwations, Annals of Mathematical Statistics, vol. 36, 653 – 657.
Welch W.J. (1990) Construction of Permutation Tests, Journal of the American Statistical Association, vol. 85, No. 411, Theory and Methods.

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