8  References

Abbott, W., 1987. A method of computing the effectiveness of an insecticide.

Akaike, H., 1998. Information theory and an extension of the maximum likelihood principle, in: Selected Papers of Hirotugu Akaike. Springer, pp. 199–213.

Bartlett, M.S., 1937. Properties of sufficiency and statistical tests. Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences 160, 268–282.

Bonferroni, C., 1936. Teoria statistica delle classi e calcolo delle probabilita. Pubblicazioni del R istituto superiore di scienze economiche e commericiali di firenze 8, 3–62.

Box, G.E., Cox, D.R., 1964. An analysis of transformations. Journal of the Royal Statistical Society Series B: Statistical Methodology 26, 211–243.

Cochran, W.G., 1954. Some methods for strengthening the common χ 2 tests. Biometrics 10, 417–451.

Dunn, O.J., 1964. Multiple comparisons using rank sums. Technometrics 6, 241–252.

Dunnett, C.W., 1955. A multiple comparison procedure for comparing several treatments with a control. Journal of the American Statistical Association 50, 1096–1121.

Fisher, R.A., 1922. On the interpretation of χ 2 from contingency tables, and the calculation of p. Journal of the royal statistical society 85, 87–94.

Fisher, R.A., 1921. Studies in crop variation. I. An examination of the yield of dressed grain from broadbalk. The Journal of Agricultural Science 11, 107–135.

Green, J.W., Springer, T.A., Holbech, H., 2018. Statistical analysis of ecotoxicity studies. John Wiley & Sons.

Hamilton, M.A., Russo, R.C., Thurston, R.V., 1977. Trimmed spearman-karber method for estimating median lethal concentrations in toxicity bioassays. Environmental science & technology 11, 714–719.

Holm, S., 1979. A simple sequentially rejective multiple test procedure. Scandinavian journal of statistics 65–70.

Jonckheere, A.R., 1954. A distribution-free k-sample test against ordered alternatives. Biometrika 41, 133–145.

Kendall, M.G., 1938. A new measure of rank correlation. Biometrika 30, 81–93.

Kolmogorov, A., 1933. Sulla determinazione empirica di una legge didistribuzione. Giorn Dell’inst Ital Degli Att 4, 89–91.

Kruskal, W.H., Wallis, W.A., 1952. Use of ranks in one-criterion variance analysis. Journal of the American statistical Association 47, 583–621.

Levene, H., 1960. Robust tests for equality of variances. Contributions to probability and statistics 278–292.

Mann, H.B., Whitney, D.R., 1947. On a test of whether one of two random variables is stochastically larger than the other. The annals of mathematical statistics 50–60.

OECD, 2006. Current approaches in the statistical analysis of ecotoxicity data.

Pearson, K., 1900. X. 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. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 50, 157–175.

Rao, J., Scott, A., 1992. A simple method for the analysis of clustered binary data. Biometrics 577–585.

Ritz, C., 2010. Toward a unified approach to dose–response modeling in ecotoxicology. Environmental toxicology and chemistry 29, 220–229.

Shapiro, S.S., Wilk, M.B., 1965. An analysis of variance test for normality (complete samples). Biometrika 52, 591–611.

Spearman, C., 1904. The proof and measurement of association between two things. The American Journal of Psychology 15, 72–101.

Student, 1908. The probable error of a mean. Biometrika 1–25.

Tarone, R.E., 1979. Testing the goodness of fit of the binomial distribution. Biometrika 66, 585–590.

Welch, B.L., 1951. On the comparison of several mean values: An alternative approach. Biometrika 38, 330–336.

Welch, B.L., 1947. The generalization of “Student’s” problem when several different population varlances are involved. Biometrika 34, 28–35.

Williams, D., 1971. A test for differences between treatment means when several dose levels are compared with a zero dose control. Biometrics 103–117.