Учебник по промышленной статистике


Список использованной литературы - часть 41


Scheffe, H., & Tukey, J. W. (1944). A formula for sample sizes for population tolerance limits. Annals of Mathematical Statistics, 15, 217.

Scheines, R. (1994). Causation, indistinguishability, and regression. In F. Faulbaum, (Ed.), SoftStat '93. Advances in statistical software 4. Stuttgart: Gustav Fischer Verlag.

Schiffman, S. S., Reynolds, M. L., & Young, F. W. (1981). Introduction to multidimensional scaling: Theory, methods, and applications. New York: Academic Press.

Schmidt, P., & Muller, E. N. (1978). The problem of multicollinearity in a multistage causal alienation model: A comparison of ordinary least squares, maximum-likelihood and ridge estimators. Quality and Quantity, 12, 267-297.

Schmidt, P., & Sickles, R. (1975). On the efficiency of the Almon lag technique. International Economic Review, 16, 792-795.

Schmidt, P., & Waud, R. N. (1973). The Almon lag technique and the monetary versus fiscal policy debate. Journal of the American Statistical Association, 68, 11-19.

Schnabel, R. B., Koontz, J. E., and Weiss, B. E. (1985). A modular system of algorithms for unconstrained minimization. ACM Transactions on Mathematical Software, 11, 419-440.

Schneider, H. (1986). Truncated and censored samples from normal distributions. New York: Marcel Dekker.

Schneider, H., & Barker, G.P. (1973). Matrices and linear algebra (2nd ed.). New York: Dover Publications.

Schonemann, P. H., & Steiger, J. H. (1976). Regression component analysis. British Journal of Mathematical and Statistical Psychology, 29, 175-189.

Schrock, E. M. (1957). Quality control and statistical methods. New York: Reinhold Publishing.

Schwarz, G. ( 1978). Estimating the dimension of a model. Annals of Statistics, 6, 461-464.

Scott, D. W. (1979). On optimal and data-based histograms. Biometrika, 66, 605-610.

Searle, S. R. (1987). Linear models for unbalanced data. New York: Wiley.

Searle, S. R., Casella, G., & McCullock, C. E. (1992). Variance components.


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