Учебник по промышленной статистике


Список использованной литературы - часть 26


London: Griffin.

Kendall, M. G. (1975). Rank correlation methods (4th ed.). London: Griffin.

Kendall, M. G. (1984). Time Series. New York: Oxford University Press.

Kendall, M., & Ord, J. K. (1990). Time series (3rd ed.). London: Griffin.

Kendall, M., & Stuart, A. (1979). The advanced theory of statistics (Vol. 2). New York: Hafner.

Kennedy, A. D., & Gehan, E. A. (1971). Computerized simple regression methods for survival time studies. Computer Programs in Biomedicine, 1, 235-244.

Kennedy, W. J., & Gentle, J. E. (1980). Statistical computing. New York: Marcel Dekker, Inc.

Kenny, D. A. (1979). Correlation and causality. New York: Wiley.

Keppel, G. (1973). Design and analysis: A researcher's handbook. Engelwood Cliffs, NJ: Prentice-Hall.

Keppel, G. (1982). Design and analysis: A researcher's handbook (2nd ed.). Engelwood Cliffs, NJ: Prentice-Hall.

Keselman, H. J., Rogan, J. C., Mendoza, J. L., & Breen, L. L. (1980). Testing the validity conditions for repeated measures F tests. Psychological Bulletin, 87, 479-481.

Khuri, A. I., & Cornell, J. A. (1987). Response surfaces: Designs and analyses. New York: Marcel Dekker, Inc.

Kiefer, J., & Wolfowitz, J. (1960). The equivalence of two extremum problems. Canadian Journal of Mathematics, 12, 363-366.

Kim, J. O., & Mueller, C. W. (1978a). Factor analysis: Statistical methods and practical issues. Beverly Hills, CA: Sage Publications.

Kim, J. O., & Mueller, C. W. (1978b). Introduction to factor analysis: What it is and how to do it. Beverly Hills, CA: Sage Publications.

Kirk, D. B. (1973). On the numerical approximation of the bivariate normal (tetrachoric) correlation coefficient. Psychometrika, 38, 259-268.

Kirk, R. E. (1968). Experimental design: Procedures for the behavioral sciences. (1st ed.). Monterey, CA: Brooks/Cole.

Kirk, R. E. (1982). Experimental design: Procedures for the behavioral sciences. (2nd ed.). Monterey, CA: Brooks/Cole.

Kivenson, G. (1971). Durability and reliability in engineering design.


Начало  Назад  Вперед