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Angewandte Statistik pp 241–297Cite as

Weitere Prüfverfahren

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Zusammenfassung

Ist die Wirksamkeit zweier verschiedener Behandlungsmethoden zu vergleichen, so wird in vielen Fällen der Tierversuch erste Aufschlüsse bringen. Nehmen wir an, uns interessieren zwei Salbenpräparate. Die Fragestellung lautet: Besteht hinsichtlich der Wirksamkeit ein Unterschied zwischen den beiden Präparaten oder nicht. Uns stehen Versuchstiere zur Verfügung, an denen wir die Krankheitsherde erzeugen können. Das Maß für die Wirksamkeit sei die erforderliche Behandlungsdauer.

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Literatur zu den einzelnen Kapiteln

  • Adler, F.: Yates correction and the statisticians. J. Amer. Statist. Assoc. 46 (1951), 490–501 (vgl. auch 47 [1952], 303 und American Statistician 30 [1976], 103 + 104).

    Article  Google Scholar 

  • Bateman, G.: On the power function of the longest run as a test for randomness in a sequence of alternatives. Biometrika 35 (1948), 97–112 (vgl. auch 34, 335/9; 44, 168/78; 45, 253/6; 48, 461/5).

    MathSciNet  MATH  Google Scholar 

  • Bennett, B. M.: (1) Tests of hypotheses concerning matched samples. J. Roy. Statist. Soc. B 29 (1967), 468–474.

    Google Scholar 

  • Bennett, B. M.: (2) On tests for order and treatment differences in a matched 2×2. Biometrische Zeitschr. 13 (1971), 95–99.

    Article  MATH  Google Scholar 

  • —, and Horst, C.: Supplement to Tables for Testing Significance in a 2 × 2 Contingency Table. New York 1966.

    Google Scholar 

  • Bennett, B. M., and Hsu, P.: On the power function of the exact test for the 2 × 2 contingency table. Biometrika 47 (1960), 393–397 [editorial note 397, 398, correction 48 (1961), 475].

    MathSciNet  Google Scholar 

  • Bennett, B. M., and Underwood, R. E.: On McNemar’s test for the 2 × 2 table and its power function. Biometrics 26 (1970), 339–343.

    Article  Google Scholar 

  • Bennett, C.A.: Application of tests for randomness: Ind. Eng. Chem. 43 (1951), 2063–2067.

    Article  Google Scholar 

  • —, and Franklin, N.L.: Statistical Analysis in Chemistry and the Chemical Industry. New York 1954, pp.678, 685.

    Google Scholar 

  • Berchtold, W.: Die Irrtumswahrscheinlichkeiten des χ2-Kriteriums für kleine Versuchszahlen. Z. angew. Math. Mech. 49 (1969), 634–636.

    Article  MathSciNet  Google Scholar 

  • Bihn, W.R.: Wandlungen in der statistischen Zeitreihenanalyse und deren Bedeutung für die ökonomische Forschung. Jahrb. Nationalök. Statistik 180 (1967), 132–146 (vgl. auch Parzen 1967 und Nullau 1968).

    Google Scholar 

  • Birnbaum, Z.W.: Numerical tabulation of the distribution of Kolmogorov’s statistic for finite sample size. J. Amer. Statist. Assoc. 47 (1952), 425–441.

    Article  MathSciNet  MATH  Google Scholar 

  • Blyth, C.R., and Hutchinson, D.W.: Table of Neyman-shortest unbiased confidence intervals for the binomial parameter. Biometrika 47 (1960), 381–391.

    MathSciNet  MATH  Google Scholar 

  • Bogartz, R.S.: A least squares method for fitting intercepting line segments to a set of data points. Psychol. Bull. 70 (1968), 749–755 (vgl. auch 75 [1971], 294-296).

    Article  Google Scholar 

  • Box, G. E. P., and Jenkins, G. M.: Time Series Analysis, Forecasting and Control. (Holden-Day, pp. 575) San Francisco 1976.

    Google Scholar 

  • Bradley, J. V.: A survey of sign tests based on the binomial distribution. J. Qual. Technol. 1 (1969), 89–101.

    Google Scholar 

  • Bredenkamp, J.: F-Tests zur Prüfung von Trends und Trendunterschieden. Z. exper. angew. Psychologie 15 (1968), 239–272.

    Google Scholar 

  • Bross, I.D. J.: Taking a covariable into account. J. Amer. Statist. Assoc. 59 (1964), 725–736.

    Article  Google Scholar 

  • Cochran, W.G.: (1) The comparison of percentages in matched samples. Biometrika 37 (1950), 256–266.

    MathSciNet  MATH  Google Scholar 

  • Cochran, W.G.: (2) The χ2-test of goodness of fit. Ann. Math. Statist. 23 (1952), 315–345.

    Article  MathSciNet  MATH  Google Scholar 

  • Cochran, W.G.: (3) Some methods for strengthening the common chi-square tests. Biometrics 10 (1954), 417–451.

    Article  MathSciNet  MATH  Google Scholar 

  • Conover, W. J.: A Kolmogorov goodness-of-fit test for discontinuous distributions. J. Amer. Statist. Assoc. 67 (1972), 591–596.

    Article  MathSciNet  MATH  Google Scholar 

  • Cox, D.R., and Stuart, A.: Quick sign tests for trend in location and dispersion. Biometrika 42 (1955), 80–95.

    MathSciNet  MATH  Google Scholar 

  • Crow, E.L.: Confidence intervals for a proportion. Biometrika 43 (1956), 423–435.

    MathSciNet  MATH  Google Scholar 

  • Croxton, F.E. and Cowden, D.J.: Applied General Statistics. 2nd ed. (Prentice-Hall) New York 1955.

    Google Scholar 

  • Csorgo, M., and Guttman, I.: On the empty cell test. Technometrics 4 (1962), 235–247.

    Article  MathSciNet  Google Scholar 

  • Cureton, E. E.: The normal approximation to the signed-rank sampling distribution when zero differences are present. J. Amer. Statist. Assoc. 62 (1967), 1068+1069 [vgl. auch 69 (1974), 368-373].

    Article  MathSciNet  Google Scholar 

  • Darling, D.A.: The Kolmogorov-Smirnov, Cramér-von Mises tests. Ann. Math. Statist. 28 (1957), 823–838.

    Article  MathSciNet  MATH  Google Scholar 

  • David, F.N.: (1) A χ2’ smooth’ test for goodness of fit, Biometrika 34 (1947), 299–310.

    MathSciNet  MATH  Google Scholar 

  • David, F.N.: (2) Two combinatorial tests of whether a sample has come from a given population. Biometrika 37 (1950), 97–110.

    MathSciNet  MATH  Google Scholar 

  • David, H.A., Hartley, H.O., and Pearson, E.S.: The distribution of the ratio, in a single normal sample, of range to standard deviation. Biometrika 41 (1954), 482–493.

    MathSciNet  MATH  Google Scholar 

  • Davis, H.T.: The Analysis of Economic Time Series. San Antonio, Texas 1963.

    Google Scholar 

  • Dixon, W. J., and Mood, A.M.: The statistical sign test. J. Amer. Statist. Assoc. 41 (1946), 557–566.

    Article  Google Scholar 

  • Documenta Geigy: Wissenschaftliche Tabellen, 7. Aufl., Basel 1968, S. 85-103 und 109-123.

    Google Scholar 

  • Duckworth, W.E., and Wyatt, J.K.: Rapid statistical techniques for operations research workers. Oper. Res. Quarterly 9 (1958), 218–233.

    Article  Google Scholar 

  • Dunn, J.E.: A compounded multiple runs distribution. J. Amer. Statist. Assoc. 64 (1969), 1415–1423.

    Article  Google Scholar 

  • Eisenhart, C., Hastay, M.W., and Wallis, W. A.: Techniques of Statistical Analysis. New York 1947.

    Google Scholar 

  • Feldman, S.E., and Klinger, E.: Short cut calculation of the Fisher-Yates “exact test”. Psychometrika 28 (1963), 289–291.

    Article  MATH  Google Scholar 

  • Finkelstein, J.M. and Schafer, R.E.: Improved goodness-of-fit tests. Biometrika 58 (1971), 641–645.

    Article  MATH  Google Scholar 

  • Finney, D.J., Latscha, R., Bennett, B.M., and Hsu, P.: Tables for Testing Significance in a 2 × 2 Contingency Table. Cambridge 1963.

    Google Scholar 

  • Gart, J.J.: An exact test for comparing matched proportions in crossover designs. Biometrika 56 (1969), 75–80 [vgl. auch Biometrics 27 (1971), 945-959 und Rev. Int. Stat. Inst. 39 (1971), 148-169].

    Article  Google Scholar 

  • Gebhardt, F.: Verteilung und Signifikanzschranken des 3. und 4. Stichprobenmomentes bei normalverteilten Variablen. Biometrische Zeitschr. 8 (1966), 219–241.

    Article  Google Scholar 

  • Gildemeister, M. und B.L. Van der Waerden: Die Zulässigkeit des χ2-Kriteriums für kleine Versuchszahlen. Ber. Verh. Sächs. Akad. Wiss. Leipzig, Math.-Nat. Kl. 95 (1944), 145–150.

    Google Scholar 

  • Glasser, G. J.: A distribution-free test of independence with a sample of paired observations. J. Amer. Statist. Assoc. 57 (1962), 116–133.

    Article  MathSciNet  MATH  Google Scholar 

  • Good, I.J.: Significance tests in parallel and in series. J. Amer. Statist. Assoc. 53 (1958), 799–813.

    Article  MathSciNet  MATH  Google Scholar 

  • Grizzle, J.E.: Continuity correction in the χ2-test for 2 × 2 tables. The American Statistician 21 (Oct. 1967), 28–32 (sowie 23 [April 1969], 35; vgl. J. Amer. Statist. Assoc. 69 [1974], 374-382).

    Google Scholar 

  • Harris, B. (Ed.): Spectral Analysis of Time Series. (Wiley, pp. 319) New York 1967.

    Google Scholar 

  • Horbach, L.: Die Anwendung von Standardisierungsverfahren bei der Auswertung therapeutischer Vergleichsreihen. Arzneimittelforschung 17 (1967), 1279–1288.

    Google Scholar 

  • Jenkins, G.M.: Spectral Analysis and Its Applications (Holden-Day, pp.520) San Francisco 1968.

    Google Scholar 

  • —, and Watts, D.E.: Spectrum Analysis and Its Applications. (Holden-Day, pp. 350) San Francisco 1968.

    Google Scholar 

  • Jesdinsky, H.J.: Orthogonale Kontraste zur Prüfung von Trends. Biometrische Zeitschrift 11 (1969), 252–264.

    Article  Google Scholar 

  • Johnson, E. M.: The Fisher-Yates exact test and unequal sample sizes. Psychometrika 37 (1972), 103–106 [vgl. auch Applied Stat. 28 (1979), 302 u. J. Qual. Technol. 11 (1979), 44-47].

    Article  MATH  Google Scholar 

  • Kincaid, W. M.: The combination of tests based on discrete distributions. J. Amer. Statist. Assoc. 57 (1962), 10–19 [vgl. auch 66 (1971), 802-806, 68 (1973), 193-194 und 73 (1978), 753-763].

    Article  MATH  Google Scholar 

  • Klemm, P.G.: Neue Diagramme für die Berechnung von Vierfelderkorrelationen. Biometrische Zeitschr. 6 (1964), 103–109.

    Article  Google Scholar 

  • Kolmogorov, A.: Confidence limits for an unknown distribution function. Ann. Math. Statist. 12 (1941), 461–463.

    Article  Google Scholar 

  • Kruskal, W.H.: A nonparametric test for the several sample problem. Ann. Math. Statist. 23 (1952), 525–540.

    Article  MathSciNet  MATH  Google Scholar 

  • Kullback, S., Kupperman, M., and Ku, H.H.: An application of information theory to the analysis of contingency tables, with a table of 2n In n, n = 1(1)10000. J. Res. Nat. Bur. Stds. B 66 (1962), 217–243.

    MathSciNet  MATH  Google Scholar 

  • Le Roy, H.L.: Ein einfacher χ2-Test für den Simultanvergleich der inneren Struktur von zwei analogen 2 × 2 — Häufigkeitstabellen mit freien Kolonnen-und Zeilentotalen. Schweizer, landw. Forschg. 1 (1962), 451–454.

    Google Scholar 

  • Levene, H.: On the power function of tests of randomness based on runs up and down. Ann. Math. Statist. 23 (1952), 34–56.

    Article  MathSciNet  MATH  Google Scholar 

  • Li, J. C. R.: Statistical Inference. Vol. I (Edwards Brothers, pp. 658) Ann Arbor, Mich. 1964, p. 466.

    Google Scholar 

  • Lienert, G.A.: Die zufallskritische Beurteilung psychologischer Variablen mittels verteilungsfreier Schnelltests. Psychol. Beiträge 7 (1962), 183–215.

    Google Scholar 

  • Lilliefors, H.W.: (1) On the Kolmogorov-Smirnov test for normality with mean and variance unknown. J. Amer. Statist. Assoc. 62 (1967), 399–402.

    Article  Google Scholar 

  • Lilliefors, H.W.: (1) On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Corrigenda 64 (1969), 1702.

    Google Scholar 

  • Lilliefors, H.W.: (2) On the Kolmogorov-Smirnov test for the exponential distribution with mean unknown. J. Amer. Statist. Assoc. 64 (1969), 387–389 [vgl. auch Biometrika 63 (1976), 149-160].

    Article  Google Scholar 

  • Ludwig, O.: Über die stochastische Theorie der Merkmalsiterationen. Mitteilungsbl. math. Statistik 8 (1956), 49–82.

    MathSciNet  MATH  Google Scholar 

  • MacKinnon, W. J.: Table for both the sign test and distribution-free confidence intervals of the median for sample sizes to 1,000. J. Amer. Statist. Assoc. 59 (1964), 935–956.

    Article  MathSciNet  MATH  Google Scholar 

  • Marascuilo, L.A., and McSweeney, Maryellen: Nonparametric post hoc comparisons for trend. Psychological Bulletin 67 (1967), 401–412.

    Article  Google Scholar 

  • Massey jr., F.J.: The Kolmogorov-Smirnov test for goodness of fit. J. Amer. Statist. Assoc. 46 (1951), 68–78 [vgl. auch Allgem. Stat. Arch. 59 (1975), 228-250].

    Article  MATH  Google Scholar 

  • Mc Cornack, R. L.: Extended tables of the Wilcoxon matched pair signed rank statistic. J. Amer. Statist. Assoc. 60 (1965), 864–871 [vgl. auch 65 (1970), 974-975, 69 (1974), 255-258, 368-373 u. Method. Inform. Med. 14 (1975), 224-230].

    Article  MathSciNet  Google Scholar 

  • McNemar, Q.: Note on sampling error of the differences between correlated proportions or percentages. Psychometrika 12 (1947), 153+154.

    Article  Google Scholar 

  • Miller, L.H.: Table of percentage points of Kolmogorov statistics. J. Amer. Statist. Assoc. 51 (1956), 111–121.

    Article  MathSciNet  MATH  Google Scholar 

  • Moore, P.G.: The properties of the mean square successive difference in samples from various populations. J. Amer. Statist. Assoc. 50 (1955), 434–456.

    Article  MATH  Google Scholar 

  • Neumann, J. von, Kent, R.H., Bellinson, H.B., and Hart, B.I.: The mean square successive difference. Ann. Math. Statist. 12 (1941), 153–162.

    Article  Google Scholar 

  • Nicholson, W.L.: Occupancy probability distribution critical points. Biometrika 48 (1961), 175–180.

    MathSciNet  MATH  Google Scholar 

  • Nullau, B.: Verfahren zur Zeitreihenanalyse. Vierteljahreshefte zur Wirtschaftsforschung, Berlin 1968, 1, 58-82.

    Google Scholar 

  • Olmstead, P.S.: Runs determined in a sample by an arbitrary cut. Bell Syst. Techn. J. 37 (1958), 55–82.

    Google Scholar 

  • Ott, R.L., and Free, S.M.: A short-cut rule for a one-sided test of hypothesis for qualitative data. Technometrics 11 (1969), 197–200.

    Article  Google Scholar 

  • Parzen, E.: The role of spectral analysis in time series analysis. Rev. Int. Statist. Inst. 35 (1967), 125–141 (vgl. Empirical Time Series Analysis. Holden-Day, San Francisco, Calif. 1969).

    Article  MathSciNet  MATH  Google Scholar 

  • Patnaik, P.B.: The power function of the test for the difference between two proportions in a 2 × 2 table. Biometrika 35 (1948), 157–175.

    MathSciNet  MATH  Google Scholar 

  • Pearson, E.S.: Table of percentage points of √b 1 and b 2 in normal samples; a rounding off. Biometrika 52 (1965), 282–285.

    Google Scholar 

  • Pearson, E.S., and Hartley, H.O.: Biometrika Tables for Statisticians. Vol.1, 3rd ed., Cambridge 1966, 1970.

    Google Scholar 

  • Pearson, E.S., and Stephens, M.A.: The ratio of range to standard deviation in the same normal sample. Biometrika 51 (1964), 484–487.

    MathSciNet  MATH  Google Scholar 

  • Plackett, R.L.: The continuity correction in 2 × 2 tables. Biometrika 51 (1964), 327–337 [vgl. Biometrical Journal 22 (1980), 241-248.

    MathSciNet  MATH  Google Scholar 

  • Quandt, R.E.: (1) Statistical discrimination among alternative hypotheses and some economic regularities. J. Regional Sci. 5 (1964), 1–23.

    Article  Google Scholar 

  • Quandt, R.E.: (2) Old and new methods of estimation and the Pareto distribution Metrika 10 (1966), 55–82.

    MathSciNet  Google Scholar 

  • Radhakrishna, S.: Combination of results from several 2 × 2 contingency tables. Biometrics 21 (1965), 86–98.

    Article  MathSciNet  Google Scholar 

  • Rao, C. R.: Linear Statistical Inference and Its Applications. 2nd ed. (Wiley) New York 1973, pp. 404/10.

    Book  MATH  Google Scholar 

  • Rehse, E.: Zur Analyse biologischer Zeitreihen. Elektromedizin 15 (1970), 167–180.

    Google Scholar 

  • Runyon, R.P., and Haber, A.: Fundamentals of Behavioral Statistics. (Addison-Wesley, pp.304) Reading, Mass. 1967, p. 258.

    Google Scholar 

Literaturübersicht auf S. 437

  • Sachs, L.: (1) Statistische Methoden. 5. neubearb. Aufl. (Springer, 124 S.) Berlin, Heidelberg, New York 1982, S. 69/70, 72/75.

    Google Scholar 

  • (2) Numerischer Vergleich von 11 Konkurrenten des klassischen Vierfelder-χ2-Tests bei kleinem Stichprobenumfang. Habilitationsschrift, Kiel 1974.

    Google Scholar 

  • Sandler, J.: A test of the significance of the difference between the means of correlated measures, based on a simplification of Student’s t. Brit. J. Psychol. 46 (1955), 225+226.

    Article  Google Scholar 

  • Sarris, V.: Nichtparametrische Trendanalysen in der klinisch-psychologischen Forschung. Z. exper. angew. Psychologie 15 (1968), 291–316.

    Google Scholar 

  • Seeger, P.: Variance analysis of complete designs: Some practical aspects. (Almqvist and Wiksell, pp.225) Uppsala 1966, pp. 166-190.

    Google Scholar 

  • Seeger, P., and Gabrielsson, A.: Applicability of the Cochran Q test and the F test for statistical analysis of dichotomous data for dependent samples. Psychol. Bull. 69 (1968), 269–277.

    Article  Google Scholar 

  • Shapiro, S. S., and Wilk, M. B.: An analysis of variance for normality (complete samples). Biometrika52 (1965), 591–611 [vgl. Technometrics 10 (1968), 861-866 u. Statist. Neerl. 27 (1973), 163-1

    MathSciNet  MATH  Google Scholar 

  • Slakter, M.J.: A comparison of the Pearson chi-square and Kolmogorov goodness-of-fit tests with respect to validity. J. Amer. Statist. Assoc. 60 (1965), 854–858.

    Article  MathSciNet  MATH  Google Scholar 

  • Slakter, M.J.: A comparison of the Pearson chi-square and Kolmogorov goodness-of-fit tests with respect to validity. Corrigenda: 61 (1966), 1249.

    Google Scholar 

  • Smirnov, N.: Tables for estimating the goodness of fit of empirical distributions. Ann. Math. Statist. 19 (1948), 279–281 [vgl. J. Roy. Statist. Soc. 38 (1976), 152-156].

    Google Scholar 

  • Stephens, M.A.: Use of the Kolmogorov-Smirnov, Cramér-Von Mises and related statistics without extensive tables. J. Roy. Statist. Soc. B32 (1970), 115–122.

    Google Scholar 

  • Stevens, W.L.: (1) Distribution of groups in a sequence of alternatives. Ann. Eugenics 9 (1939), 10–17.

    Article  MathSciNet  Google Scholar 

  • Stevens, W.L.: (2) Accuracy of mutation rates. J. Genetics 43 (1942), 301–307.

    Article  Google Scholar 

  • Suits, D.B.: Statistics: An Introduction to Quantitative Economic Research. Chicago, Ill. 1963, Chapter 4.

    Google Scholar 

  • Swed, Frieda S., and Eisenhart, C.: Tables for testing randomness of grouping in a sequence of alternatives. Ann. Math. Statist. 14 (1943), 83–86.

    Article  MathSciNet  Google Scholar 

  • Tate, M.W., and Brown, Sara M.: Note on the Cochran Q-test. J. Amer. Statist. Assoc. 65 (1970, 155–160 (vgl. auch 68 [1973], 989-993; 70 [1975], 186-189; Biometrics 21 [1965], 1008-1010).

    Article  Google Scholar 

  • Thomson, G.W.: Bounds for the ratio of range to standard deviation. Biometrika 42 (1955), 268+269.

    MathSciNet  Google Scholar 

  • Tukey, J.W., and McLaughlin, D.H.: Less vulnerable confidence and significance procedures for location based on a single sample: Trimming/Winsorization. Sankhya Ser. A 25 (1963), 331–352.

    MathSciNet  MATH  Google Scholar 

  • Ury, H. K.: A note on taking a covariable into account. J. Amer. Statist. Assoc. 61 (1966), 490–495.

    Article  Google Scholar 

  • Vessereau, A.: Sur les conditions d’application du criterium χ2 de Pearson. Bull. Inst. Int. Statistique 36 (3) (1958), 87–101.

    MathSciNet  Google Scholar 

  • Waerden, B. L. van der: Mathematische Statistik. (Springer, 360 S.) Berlin 1965, S. 224/226.

    Google Scholar 

  • Wallis, W. A.: Rough-and-ready statistical tests. Industrial Quality Control 8 (1952) (5), 35–40.

    Google Scholar 

  • Wallis, W. A.:, and Moore, G.H.: A significance test for time series analysis. J. Amer. Statist. Assoc. 36 (1941), 401–409.

    Article  Google Scholar 

  • Walter, E.: (1) Über einige nichtparametrische Testverfahren. I, II. Mitteilungsbl. Mathemat. Statistik 3 (1951), 31–44, 73-92.

    MATH  Google Scholar 

  • Walter, E.: (2) χ2-Test zur Prüfung der Symmetrie bezüglich Null. Mitteilungsbl. Mathemat. Statistik 6 (1954), 92–104.

    MATH  Google Scholar 

  • Walter, E.: (3) Einige einfache nichtparametrische überall wirksame Tests zur Prüfung der Zweistichprobenhypothese mit paarigen Beobachtungen. Metrika 1 (1958), 81–88.

    Article  MATH  Google Scholar 

  • Weichselberger, K.: Über eine Theorie der gleitenden Durchschnitte und verschiedene Anwendungen dieser Theorie. Metrika 8 (1964), 185–230.

    Article  MathSciNet  MATH  Google Scholar 

  • Wilcoxon, F., Katti, S.K., and Wilcox, Roberta A.: Critical Values and Probability Levels for the Wilcoxon Rank Sum Test and the Wilcoxon Signed Rank Test. Lederle Laboratories, Division Amer. Cyanamid Company, Pearl River, New York, August 1963.

    Google Scholar 

  • Wilcoxon, F., and Wilcox, Roberta A.: Some Rapid Approximate Statistical Procedures. Lederle Laboratories, Pearl River, New York 1964.

    Google Scholar 

  • Woolf, B.: The log likelihood ratio test (the G-test). Methods and tables for tests of heterogeneity in contingency tables. Ann. Human Genetics 21 (1957), 397–409.

    Article  Google Scholar 

  • Yamane, T.: Statistics: An Introductory Analysis. 2nd ed. (Harper and Row, pp.919) New York 1967, pp. 330-367, 845-873.

    Google Scholar 

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Sachs, L. (1984). Weitere Prüfverfahren. In: Angewandte Statistik. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05748-3_7

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