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Statistics bibliography 03 - stats

Abdi, H. & William, L.J. (2010). Jacknife. In Salkind, N. (Ed.), Encyclopedia of Research Design. Sage, Thousand Oaks, CA. http://www.utdallas.edu/~herve/abdi-Jackknife2010-pretty.pdf [free pdf]

 

Abramowitz, M. & Stegun, I.A. (1972). Handbook of Mathematical Functions. Dover, New York. p. 932

 

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

 

Armitage, P. & Berry, G. (2002). Statistical methods in medical research. 4th Edn. Blackwells, Oxford.

 

Altman, D.G. & Bland, J.M. (1995). Statistics notes: The normal distribution. BMJ 310, 298 (4 February). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2548695/pdf/bmj00578-0032.pdf [free]

 

Altman, D.G. & Bland, J.M. (2005). Standard deviations and standard errors BMJ 351, 903 (15 October). http://dx.doi.org/10.1136/bmj.331.7521.903 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1255808/pdf/bmj33100903.pdf [free]

 

Bland, J.M. & Altman, D.G (1996). Measurement error proportional to the mean. BMJ 313, 106 (13 July). http://dx.doi.org/10.1136/bmj.313.7049.106 [free html]

 

Bedian, A.G. & Mossholder, K.W. (2000). On the use of the coefficient of variation as a measure of diversity. Organizational Research Methods 3 (3), 285-297. http://dx.doi.org/10.1177/109442810033005

 

Benedetti-Cecchi, L. (2003). The importance of the variance around the mean effect size of ecological processes. Ecology 84 (1), 2335-2346. http://dx.doi.org/10.1890/02-8011

 

Bland, J.M. & Altman, D.G (1996). Measurement error. BMJ 313, 744 (21 September). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2352111/pdf/bmj00560-0056b.pdf [free html]

 

Bland, J.M. & Altman, D.G (1996). Measurement error and correlation coefficients. BMJ 313, 41-42 (6 July). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2351452/pdf/bmj00549-0045.pdf [free html]

 

Brown, G.W. (1982). Standard deviation, standard error. Which 'standard' should we use? American Journal of Diseases of Children 136, 937-941. http://archpedi.ama-assn.org/cgi/reprint/136/10/937?ijkey=c0cc03458f4

 

Bryce, J.B. (1901). Studies in history and jurisprudence. Clarendon Press, Oxford. http://www.archive.org/details/studiesinhistory01brycuoft [free text]

 

Cumming G. et al. (2007). Error bars in experimental biology. Journal of Cell Biology 177 (1), 7-11. http://dx.doi.org/10.1083/jcb.200611141 http://jcb.rupress.org/cgi/reprint/177/1/7 [free pdf]

 

Curran-Everett, D. (2008). Explorations in statistics: standard deviations and standard errors. Advances in Physiology Education 32, 203-208. http://dx.doi.org/10.1152/advan.90123.2008 http://advan.physiology.org/cgi/reprint/32/3/203.pdf [free pdf]

 

Fisher, R. (1920). A mathematical examination of the methods of determining the accuracy of observation by the mean error and the mean square error. Monthly Notes of the Royal Astronomical Society 80, 758-770.

 

Fleiss, J.L. et al. (1969). Large sample standard errors of kappa and weighted kappa. Psychology Bulletin 72, 323-327. http://psycnet.apa.org/journals/bul/72/5/323/

 

Fleiss, J.L. et al. (2003). Statistical methods for rates and proportions. 3rd edn. John Wiley & Sons, New York.

 

Gaston, K.J. & McArdle, B. et al. (1994). The temporal variability of animal abundances: measures, methods and patterns. Philosophical Transactions of the Royal Society of London B 345 (1314), 335-358. http://dx.doi.org/10.1098/rstb.1994.0114

 

Geary, R.C. (1947). Testing for normality. Biometrika 34 (3-4), 209-242. http://dx.doi.org/10.1093/biomet/34.3-4.209

 

Gibson, R.S. (2005). Principles of nutritional assessment. OUP USA. 928 pp. [not available in full on line]

 

Good, I.J. (1973). What are degrees of freedom? The American Statistician 27 (5), 227-228. http://amstat.tandfonline.com/doi/abs/10.1080/00031305.1973.10479042

 

Griffiths, D. et al. (1998). Understanding Data. Principles and Practice of Statistics. Wiley, Brisbane.

 

Grubbs, F. (1969). Procedures for detecting outlying observations in samples. Technometrics 11 (1), 1-21. http://www.jstor.org/pss/1266761

 

Gravetter, F.J. & Wallnau, L.B. (2006). Statistics for the behavioural sciences. 7th Edn. Wadsworth. [not available in full on line]

 

Heiman, G.W. (2001). Understanding research methods and statistics. An integrated introduction for psychology. 2nd Edn. Houghton Miffin Company, Boston, New York.

 

Langbridge, F. (1896). A cluster of quiet thoughts. Religious Tract Society Publication.

 

Limpert, E. et al. (2001). Log-normal distributions across the sciences: keys and clues. Bioscience 51 (5), 341-352. http://dx.doi.org/10.1641/0006-3568(2001)051[0341:LNDATS]2.0.CO;2 http://stat.ethz.ch/~stahel/lognormal/bioscience.pdf [free]

 

Liu, W. et al. (2006). Exact confidence bounds for the coefficient of variation of a normally distributed population. International Journal of Statistics and Systems 1 (1), 81-86. http://www.ripublication.com/ijss/ijssv1n1_5.pdf

 

Magnusson, W.E. (2000). Error bars. Are they the king's clothes. Bulletin of the Ecological Society of America 81, 147-150. http://www.esajournals.org/doi/pdf/10.1890/0012-9623%282000%29081%5B147%3AC%5D2.0.CO%3B2 [free pdf]

 

McArdle, B. et al. 1990. Variation in the size of animal populations: patterns, problems and artefacts. Journal of Animal Ecology 59 (2), 439-454. http://dx.doi.org/10.2307/4873

 

Micceri, T. (1989) The unicorn, the normal curve, and other improbable creatures. Psychological Bulletin 105 (1), 156-166. http://www.indiana.edu/~educy520/sec6342/week_08/micceri89.pdf [free pdf]

 

Miller, R.G. (1974). The Jackknife - a review. Biometrika 61 (1), 1-15. http://www.math.ntu.edu.tw/~hchen/teaching/LargeSample/references/Miller74jackknife.pdf [free pdf]

 

Nagele, P. (2001). Misuse of standard error of the mean (SEM) when reporting variability of a sample. A critical evaluation of four anaesthesia journals. British Journal of Anaesthesia 90 (4), 514-516. http://dx.doi.org/10.1093/bja/aeg087 http://bja.oxfordjournals.org/cgi/reprint/90/4/514.pdf [free pdf]

 

Norman, G.R. & Streiner, D.L. (2008). Biostatistics: The bare essentials (with SPSS Package). 3rd Edn. McGraw-Hill Medical

 

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

 

Rothman, K.J. & Greenland, S. (1998). Chapter 8. Precision and validity in epidemiological studies. pp 115-134. In: Rothman, K.J. & Greenland, S. (eds). Modern epidemiology. 2nd edn. Lippincott, Philadelphia.

 

Ross, S. (2003). Peirce's criterion for the elimination of suspect experimental data. Journal of Engineering Technology Fall 2003 http://classes.engineering.wustl.edu/2009/fall/che473/handouts/OutlierRejection.pdf [free pdf]

 

Streiner, D.L. (1996). Maintaining standards: differences between the standard deviation and standard error, and when to use each. Canadian Journal of Psychiatry 41 (8), 498-502. http://www.ncbi.nlm.nih.gov/pubmed/8899234 [abstract only]

 

Shoukri, M.M. et al. (2006). Interval estimation and optimal design for the within subject coefficient of variation for continuous and binary variables. BMC Medical Research Methodology, 6:24. http://dx.doi.org/10.1186/1471-2288-6-24 http://www.pubmedcentral.nih.gov/picrender.fcgi?artid=1481563&blobtype=pdf [free pdf]

 

Shaw, G.B. (1898). The Philanderer, Act 2. In The Bodley Head Bernard Shaw: Collected plays with their prefaces, Vol 1. Ed. D.H. Laurence (1970) http://www.classicreader.com/booktoc.php/sid.7/bookid.1570 [free text]

 

Snedecor, G.W. & Cochran, W.G. (1989). Statistical Methods. 8th Edn. Iowa State Press, Iowa, USA.

 

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

 

Sørensen, J.B. (2002). The use and misuse of the coefficient of variation in organizational demography research. Sociological Methods and Research 30 (4), 475-491. http://dx.doi.org/10.1177/0049124102030004001 http://www.stanford.edu/~sorensen/nomorecv%20revision%20final.pdf [free pdf]

 

Thode, H.C. (2002). Testing for normality. Marcel Dekker, New York. [not available in full on line]

 

Walker, H.M. (1940). Degrees of freedom. Journal of Educational Psychology 31 (4), 253-269. http://courses.ncssm.edu/math/Stat_Inst/PDFS/DFWalker.pdf [free pdf]

 

Woodward, M. (2004). Epidemiology. Study Design and Analysis. 2nd edn. Chapman & Hall/CRC, Boca Raton. 872 pp.

 

Webster, C.S. & Merry, A.F. (1997). The standard deviation and the standard error of the mean. Anaesthesia 52 (2), 183. http://www.ncbi.nlm.nih.gov/pubmed/9059111

 

Whittaker, E.T. & Robinson, G. (1967). . The calculus of observations: A treatise on numerical mathematics. Dover, New York.

 

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

 

World Health Organization (2000). The management of nutrition in major emergencies. 2nd Edn. World Health Organization. http://whqlibdoc.who.int/publications/2000/9241545208.pdf [free pdf]