Учебник по промышленной статистике

Список использованной литературы - часть 47

Reading, MA: Addison-Wesley.

Tukey, J. W. (1984). The collected works of John W. Tukey. Monterey, CA: Wadsworth.

Tukey, P. A. (1986). A data analyst's view of statistical plots. Proceedings of the Section on Statistical Graphics, American Statistical Association, 21-28.

Tukey, P. A., & Tukey, J. W. (1981). Graphical display of data sets in 3 or more dimensions. In V. Barnett (Ed.), Interpreting multivariate data. Chichester, U.K.: Wiley.

Upsensky, J. V. (1937). Introduction to Mathematical Probability. New York: McGraw-Hill.

Vale, C. D., & Maurelli, V. A. (1983). Simulating multivariate non-normal distributions. Psychometrika, 48, 465-471.

Vandaele, W. (1983). Applied time series and Box-Jenkins models. New York: Academic Press.

Vaughn, R. C. (1974). Quality control. Ames, IA: Iowa State Press.

Velicer, W. F., & Jackson, D. N. (1990). Component analysis vs. factor analysis: some issues in selecting an appropriate procedure. Multivariate Behavioral Research, 25, 1-28.

Velleman, P. F., & Hoaglin, D. C. (1981). Applications, basics, and computing of exploratory data analysis. Belmont, CA: Duxbury Press.

Von Mises, R. (1941). Grundlagen der Wahrscheinlichkeitsrechnung. Mathematische Zeitschrift, 5, 52-99.

Wainer, H. (1995). Visual revelations. Chance, 8, 48-54.

Wald, A. (1939). Contributions to the theory of statistical estimation and testing hypotheses. Annals of Mathematical Statistics, 10, 299-326.

Wald, A. (1945). Sequential tests of statistical hypotheses. Annals of Mathematical Statistics, 16, 117-186.

Wald, A. (1947). Sequential analysis. New York: Wiley.

Walker, J. S. (1991). Fast Fourier transforms. Boca Raton, FL: CRC Press.

Wallis, K. F. (1974). Seasonal adjustment and relations between variables. Journal of the American Statistical Association, 69, 18-31.

Wang, C. M., & Gugel, H. W. (1986). High-performance graphics for exploring multivariate data. Proceedings of the Section on Statistical Graphics, American Statistical Association, 60-65.

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