Permutation methods. Part II

[1]  M. Kendall,et al.  ON THE METHOD OF PAIRED COMPARISONS , 1940 .

[2]  Jacob Cohen,et al.  Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. , 1968 .

[3]  Harold Hotelling,et al.  Rank Correlation and Tests of Significance Involving No Assumption of Normality , 1936 .

[4]  O. Kempthorne.  Some Aspects of Experimental Inference , 1966 .

[5]  J. Ludbrook,et al.  Issues in biomedical statistics: statistical inference. , 1994, The Australian and New Zealand journal of surgery.

[6]  J Ludbrook,et al.  ADVANTAGES OF PERMUTATION (RANDOMIZATION) TESTS IN CLINICAL AND EXPERIMENTAL PHARMACOLOGY AND PHYSIOLOGY , 1994, Clinical and experimental pharmacology & physiology.

[7]  Janis E. Johnston,et al.  Permutation Tests: Precision in Estimating Probability Values , 2007, Perceptual and motor skills.

[8]  J. Fleiss.  Measuring nominal scale agreement among many raters. , 1971 .

[9]  Douglas Curran-Everett,et al.  Explorations in statistics: permutation methods. , 2012, Advances in physiology education.

[10]  K. Krippendorff.  Bivariate Agreement Coefficients for Reliability of Data , 1970 .

[11]  M. Ménaché,et al.  Variation de la masse volumique de l'eau en fonction de sa composition isotopique Variation of the Water Density as a Function of its Isotopic Composition , 1971 .

[12]  F. Yates.  Contingency Tables Involving Small Numbers and the χ2 Test , 1934 .

[13]  Barry H. Margolin,et al.  An Analysis of Variance for Categorical Data, II: Small Sample Comparisons with Chi Square and other Competitors , 1974 .

[14]  Martin Hilbert,et al.  How much information is there in the “information society”? , 2012 .

[15]  Howard W Mielke,et al.  The Fisher-Pitman Permutation Test: An Attractive Alternative to the F Test , 2002, Psychological reports.

[16]  M. Kendall.  A NEW MEASURE OF RANK CORRELATION , 1938 .

[17]  E. J. G. Pitman,et al.  Significance Tests Which May be Applied to Samples from Any Populations. II. The Correlation Coefficient Test , 1937 .

[18]  Peter Tyrer,et al.  The Effect of Number of Rating Scale Categories on Levels of Interrater Reliability : A Monte Carlo Investigation , 1985 .

[19]  W. S. Robinson.  The statistical measurement of agreement. , 1957 .

[20]  Joseph L. Fleiss,et al.  Comparison of the Null Distributions of Weighted Kappa and the C Ordinal Statistic , 1977 .

[21]  W. A. Scott,et al.  Reliability of Content Analysis ; The Case of Nominal Scale Cording , 1955 .

[22]  B. Everitt,et al.  Large sample standard errors of kappa and weighted kappa. , 1969 .

[23]  W. Willett,et al.  Misinterpretation and misuse of the kappa statistic. , 1987, American journal of epidemiology.

[24]  Adelin Albert,et al.  A note on the linearly weighted kappa coefficient for ordinal scales , 2009 .

[25]  M. Banerjee,et al.  Beyond kappa: A review of interrater agreement measures , 1999 .

[26]  A. Stuart,et al.  The Estimation and Comparison of Strengths of Association in Contingency Tables , 1953 .

[27]  Robert H. Somers,et al.  A new asymmetric measure of association for ordinal variables. , 1962 .

[28]  F. Yates,et al.  On the validity of Fisher's z test when applied to an actual example of non-normal data. (With five text-figures.) , 1933, The Journal of Agricultural Science.

[29]  Janis E. Johnston,et al.  A Fortran Program for Computing the Exact Variance of Weighted Kappa , 2005, Perceptual and motor skills.

[30]  A. Feinstein.  XXIII. The role of randomization in sampling, testing, allocation, and credulous idolatry (Part 2) , 1973 .

[31]  A. J. Conger.  Integration and generalization of kappas for multiple raters. , 1980 .

[32]  M. Friedman.  A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings , 1940 .

[33]  A. Quetelet.  Letters Addressed to H.R.H. the Grand Duke of Saxe Coburg and Gotha; On the Theory of Probabilities, as Applied to the Moral and Political Sciences , 2012 .

[34]  Brian Everitt,et al.  MOMENTS OF THE STATISTICS KAPPA AND WEIGHTED KAPPA , 1968 .

[35]  Kenneth J. Berry,et al.  A Chronicle of Permutation Statistical Methods , 2014 .

[36]  J. Fleiss,et al.  Inference About Weighted Kappa in the Non-Null Case , 1978 .

[37]  C. Spearman.  The proof and measurement of association between two things. By C. Spearman, 1904. , 1987, The American journal of psychology.

[38]  A. Agresti.  Categorical data analysis , 1993 .

[39]  C. Spearman.  ‘FOOTRULE’ FOR MEASURING CORRELATION , 1906 .

[40]  Roger Bakeman,et al.  Testing sequential association: Estimating exact p values using sampled permutations. , 1996 .

[41]  Leon Festinger,et al.  The significance of difference between means without reference to the frequency distribution function , 1946, Psychometrika.

[42]  E. Pitman.  Significance Tests Which May be Applied to Samples from Any Populations , 1937 .

[43]  R. Graham,et al.  Spearman's Footrule as a Measure of Disarray , 1977 .

[44]  A. Feinstein,et al.  Clinical biostatistics: LIV. The biostatistics of concordance , 1981 .

[45]  Jacob Cohen.  A Coefficient of Agreement for Nominal Scales , 1960 .

[46]  Dale J. Prediger,et al.  Coefficient Kappa: Some Uses, Misuses, and Alternatives , 1981 .

[47]  S. S. Wilks.  The Likelihood Test of Independence in Contingency Tables , 1935 .

[48]  E. Pitman.  SIGNIFICANCE TESTS WHICH MAY BE APPLIED TO SAMPLES FROM ANY POPULATIONS III. THE ANALYSIS OF VARIANCE TEST , 1938 .

[49]  J Ludbrook,et al.  Issues in biomedical statistics: comparing means by computer-intensive tests. , 1995, The Australian and New Zealand journal of surgery.