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Statistics bibliography 10 - stats

Aebischer, N.J. et al. (1993) Compositional analysis of habitat use from animal radio-tracking data. Ecology 74 (5), 1313-1325. http://dx.doi.org/10.2307/1940062 http://people.cst.cmich.edu/gehri1tm/BIO%20691%20-%20Landscape%20 Ecology/Readings/Aebischer%20et%20al%201993.pdf [free pdf]

 

ALGLIB NET (2007) Jarque-Bera test . http://www.alglib.net/statistics/hypothesistesting/jarqueberatest.php [free html]

 

Anderson, T.W. & Darling, D.A. (1952). Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes. Annals of Mathematical Statistics 23 (2), 193-212. http://dx.doi.org/10.1214/aoms/1177729437 http://projecteuclid.org/DPubS/Repository/1.0/Disseminate?view=body&id=pdf_1&handle=euclid.aoms/1177729437 [free pdf]

 

Bland, M. & Altman, D. (2005). Do the left-handed die young? Significance (December), 166-170. http://dx.doi.org/10.1111/j.1740-9713.2005.00130.x

 

Cochran, W.G. (1954). Some methods for strengthening the common chi squared tests. Biometrics, 10 417-451. http://dx.doi.org/10.2307/3001616

 

Chernoff, H. & Lehmann, E.L. (1954). The use of maximum liklihood estimates in chi squared tests for goodness of fit. The Annals of Mathematical Statistics 25 579-586.

 

Conover, W.J. (1999). Practical nonparametric statistics. 3rd Edn. John Wiley & Sons, New York.

 

Darlington, R.B. (2008). The Wilcoxon signed-ranks test. The Wilcoxon test without assuming symmetry. http://comp9.psych.cornell.edu/Darlington/wilcoxon/wilcox3.htm [free html]

 

Fairbanks, D.J. & Rytting, B. (2001). Mendelian controversies: a botanical and historical review. American Journal of Botany 88, 737-752. http://www.amjbot.org/cgi/reprint/88/5/737.pdf [free pdf]

 

Fisher, R.A. (1936). Has Mendel's work been rediscovered? Annals of Science 1, 115-137. http://dx.doi.org/10.1080/00033793600200111

 

Fisher, R.A. (1941). The asymptotic approach to Behren's integral, with further tables for the d test of significance. Annals of Eugenics, London 10, 48-51. http://digital.library.adelaide.edu.au/dspace/bitstream/2440/15241/3/181.2.pdf [free pdf]

 

Freidlin, B. & Gastwirth, J.L. (2000). Should the median test be retired? The American Statistician 54 (3), 161-164. http://dx.doi.org/10.1198/000313001750358680

 

Gibbons, J.D. & Chakraborti, S. (1992). Nonparametric statistical inference. 3rd Edn. Marcel Deccer Inc., New York.

 

Greenwood, M. & Yule, G.U. (1920). An inquiry into the nature of frequency distributions of multiple happenings, with particular reference to the occurrence of multiple attacks of disease or repeated accidents. Journal of the Royal Statistical Society 83 (2), 255-279. http://dx.doi.org/10.2307/2341080

 

Garcia-Berthou, E. & Alcaraz, C. (2004). Incongruence between test statistics and P values in medical papers. BMC Medical Research Methodology 4:13 http://dx.doi.org/10.1186/1471-2288-4-13 http://www.biomedcentral.com/content/pdf/1471-2288-4-13.pdf [free pdf]

 

Harter, H.L. et al. (1984). Modified Kolmogorov-Smirnov tests for goodness of fit. Communications in Statistics, Simulation and Computation 13 (3), 293-323. http://dx.doi.org/10.1080/03610918408812378

 

Hodges, J.L. & Lehmann, E.L. (1963). Estimates of location based on rank tests. Annals of Mathematical Statistics 34, 598-611.

 

Holt, D. (1980). Chi square tests with survey data. Journal of the Royal Statistical Society A 143 (3), 303-320. http://dx.doi.org/10.2307/2982131

 

Hollander, M. & Wolfe, D.A. (1973). Nonparametric statistical methods. Wiley & Sons, New York.

 

Huitema (1996). The runs test for autocorrelated errors: Unacceptable properties. Journal of Educational and Behavioral Statistics 21 (4), 390-404. http://dx.doi.org/10.2307/1165341

 

Jeng, M. (2006). Error in statistical tests of error in statistical tests. BMC Medical Research Methodology 6:45 http://dx.doi.org/10.1186/1471-2288-6-45 http://www.biomedcentral.com/content/pdf/1471-2288-6-45.pdf [free pdf]

 

Johnson, D.H. (1995). Statistical sirens - the allure of nonparametrics. Ecology 76 (6), 1998-2000. http://dx.doi.org/10.2307/1940733

 

Khamis et al. (1992). The delta-corrected Kolmogorov-Smirnov test with estimated parameters. Journal of Nonparametric Statistics 2, 17-27.

 

Khamis, H.J. (2000). The two-stage delta-corrected Kolmogorov-Smirnov test. Journal of Applied Statistics 27 (4), 439-450. http://dx.doi.org/10.1080/02664760050003623

 

Lilliefors, H.W. (1967). On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association 62 (318), 399-402. http://dx.doi.org/10.2307/2283970

 

Mann, H.B. & Whitney, D.R. (1947). On a test of whether one of two random variables is stochastically larger. Annals of Mathematical Statistics 18 (1), 50-60. http://dx.doi.org/10.1214/aoms/1177730491 http://projecteuclid.org/DPubS/Repository/1.0/Disseminate?view=body&id=pdf_1&handle=euclid.aoms/1177730491 [free pdf]

 

Moore, G.H.. & Wallis, W.A. (1943). Time series significance tests based on signs of differences. Journal of the American Statistical Association 38 (222), 153-164. http://dx.doi.org/10.2307/2279535

 

Mogull (1994). The one-sample runs test: A category of exception. Journal of Educational and Behavioral Statistics 19 (3), 296-303. http://dx.doi.org/10.2307/1165299

 

Mood (1940). The distribution theory of runs. Annals of Mathematical Statistics 11 (4), 367-392. http://dx.doi.org/10.1214/aoms/1177731825 http://projecteuclid.org/DPubS/Repository/1.0/Disseminate?view=body&id=pdf_1&handle=euclid.aoms/1177731825 [free pdf]

 

Motulsky, H. (1996). The GraphPad guide to nonlinear regression. GraphPad Software Inc., California, USA. http://www.graphpad.com/www/nonlin.pdf [free pdf]

 

Montgomerie, B. & Birkhead, T. (2005). A beginner's guide to scientific misconduct. Newsletter of the International Society for Behavioral Ecology 17 (1), 16-24. http://asab.nottingham.ac.uk/downloads/MontgomerieBirkhead05reprint.pdf [free pdf]

 

Okeh, U.M. (2009). Statistical analysis of the application of Wilcoxon and Mann-Whitney U test in medical research studies. Biotechnology and Molecular Biology Reviews 4 (6), 128-131. http://www.academicjournals.org/BMBR/PDF/Pdf2009/Dec/Okeh.pdf [free pdf]

 

Phillips, C.V. et al. (2008). (Errors in statistical tests)3. Emerging Themes in Epidemiology 5:9. http://dx.doi.org/10.1186/1742-7622-5-9 http://www.ete-online.com/content/pdf/1742-7622-5-9.pdf [free pdf]

 

Potvin, C. & Roff, D.A. (1993). Distribution-free and robust statistical methods: Viable alternatives to parametric statistics? Ecology 74 (6), 1617-1628. http://dx.doi.org/10.2307/1940734

 

Rao, J.N.K. & Scott, A.J. (1981). The analysis of categorical data from complex sample surveys: Chi square tests for goodness of fit and independence in two-way tables. Journal of the American Statistical Association 76 (374), 221-230.

 

Rao, J.N.K. & Scott, A.J. (1992). A simple method for the analysis of clustered binary data. Biometrics 48, 577-585.

 

Rothman, K.J. (1991). Left-handedness and life expectancy. (Letter) New England Journal of Medicine 325 (14), 1041.

 

Siegel, S. (1956). Nonparametric Statistics for the Behavioural Sciences. McGraw-Hill Kogakusha, Tokyo.

 

Siegel, S. & Castellan, N.J. Jr. (1988) . Nonparametric statistics for the behavioral sciences. 2nd Edn. McGraw-Hill, New York.

 

Smith, S. (1995). Distribution-free and robust statistical methods: viable alternatives to parametric statistics. Ecology 76 (6), 1997-1998. http://dx.doi.org/10.2307/1940732 http://www.tiehh.ttu.edu/scox/readings/Ecology76-1997-1998.pdf [free pdf]

 

Senn, S. (2006). Least significant P-value digits are not uniformly distributed. (Comment) BMC Medical Research Methodology, 6:45. http://www.biomedcentral.com/1471-2288/6/45/comments [free html]

 

Sokal, R.R. & Rohlf, F.J. (1995). Biometry. The principles and practice of statistics in biological research. 3rd Edn. Freeman, New York.

 

Sprent, P. (1998). Data driven statistical methods. Chapman & Hall, London.

 

Sprent, P. (1993). Applied Nonparametric Statistics. 2nd Edn. Chapman & Hall, London.

 

Stevens, M.A. (1974). EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association 69, 730-737.

 

tables of Wilcoxon's sum of ranks statistic http://socr.stat.ucla.edu/Applets.dir/WilcoxonRankSumTable.html or http:www.stat.auckland.ac.nzwild/ChsanceEnc/Ch10.wilcoxon.pdf

 

Wald, A. & Wolfowitz, J. (1940). On a test whether two samples are from the same population. Annals of Mathematical Statistics 11 (2), 147-162. http://dx.doi.org/10.1214/aoms/1177731909 http://projecteuclid.org/DPubS/Repository/1.0/Disseminate?view=body&id=pdf_1&handle=euclid.aoms/1177731909 [free pdf]

 

Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics 1, 80-83.

 

Weldon, W.R.F. (1902). Mendel's law of alternative inheritance in peas. Biometrika 1, 228-254.

 

Zar, J.H. (1999). Biostatistical analysis. 4th Edn. Prentice Hall International, London.

 

Zimmerman, D.W. (2003). A warning about the large-sample Wilcoxon-Mann-Whitney test. Understanding Statistics 2, 267-280. http://dx.doi.org/10.1207/S15328031US0204_03