Учебник по промышленной статистике


Список использованной литературы - часть 11


Cox, D. R., & Oakes, D. (1984). Analysis of survival data. New York: Chapman & Hall.

Cramer, H. (1946). Mathematical methods in statistics. Princeton, NJ: Princeton University Press.

Crowley, J., & Hu, M. (1977). Covariance analysis of heart transplant survival data. Journal of the American Statistical Association, 72, 27-36.

Cudeck, R. (1989). Analysis of correlation matrices using covariance structure models. Psychological Bulletin, 105, 317-327.

Cudeck, R., & Browne, M. W. (1983). Cross-validation of covariance structures. Multivariate Behavioral Research, 18, 147-167.

Cutler, S. J., & Ederer, F. (1958). Maximum utilization of the life table method in analyzing survival. Journal of Chronic Diseases, 8, 699-712.

Dahlquist, G., & Bjorck, A. (1974). Numerical Methods. Englewood Cliffs, NJ: Prentice-Hall.

Daniel, C. (1976). Applications of statistics to industrial experimentation. New York: Wiley.

Daniell, P. J. (1946). Discussion on symposium on autocorrelation in time series. Journal of the Royal Statistical Society, Suppl. 8, 88-90.

Daniels, H. E. (1939). The estimation of components of variance. Supplement to the Journal of the Royal Statistical Society, 6, 186-197.

Darlington, R. B. (1990). Regression and linear models. New York: McGraw-Hill.

Darlington, R. B., Weinberg, S., & Walberg, H. (1973). Canonical variate analysis and related techniques. Review of Educational Research, 43, 433-454.

DataMyte (1992). DataMyte handbook. Minnetonka, MN.

David, H. A. (1995). First (?) occurrence of common terms in mathematical statistics. The American Statistician, 49, 121-133.

Davies, P. M., & Coxon, A. P. M. (1982). Key texts in multidimensional scaling. Exeter, NH: Heinemann Educational Books.

Davis, C. S., & Stephens, M. A. Approximate percentage points using Pearson curves. Applied Statistics, 32, 322-327.

De Boor, C. (1978). A practical guide to splines. New York: Springer-Verlag.

De Gruitjer, P. N.


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