Учебник по промышленной статистике

Список использованной литературы - часть 30

Long, J. S. (1983a). Confirmatory factor analysis. Beverly Hills: Sage.

Long, J. S. (1983b). Covariance structure models: An introduction to LISREL. Beverly Hills: Sage.

Longley, J. W. (1967). An appraisal of least squares programs for the electronic computer from the point of view of the user. Journal of the American Statistical Association, 62, 819-831.

Longley, J. W. (1984). Least squares computations using orthogonalization methods. New York: Marcel Dekker.

Lord, F. M. (1957). A significance test for the hypothesis that two variables measure the same trait except for errors of measurement. Psychometrika, 22, 207-220.

Lorenz, M. O. (1904). Methods of measuring the concentration of wealth. American Statistical Association Publication, 9, 209-219.

Lucas, J. M. (1976). The design and use of cumulative sum quality control schemes. Journal of Quality Technology, 8, 45-70.

Lucas, J. M. (1982). Combined Shewhart-CUSUM quality control schemes. Journal of Quality Technology, 14, 89-93.

Maddala, G. S. (1977) Econometrics. New York: McGraw-Hill.

Maiti, S. S., & Mukherjee, B. N. (1990). A note on the distributional properties of the Joreskog-Sorbom fit indices. Psychometrika, 55, 721-726.

Makridakis, S. G. (1983). Empirical evidence versus personal experience. Journal of Forecasting, 2, 295-306.

Makridakis, S. G. (1990). Forecasting, planning, and strategy for the 21st century. London: Free Press.

Makridakis, S. G., & Wheelwright, S. C. (1978). Interactive forecasting: Univariate and multivariate methods (2nd ed.). San Francisco, CA: Holden-Day.

Makridakis, S. G., & Wheelwright, S. C. (1989). Forecasting methods for management (5th ed.). New York: Wiley.

Makridakis, S. G., Wheelwright, S. C., & McGee, V. E. (1983). Forecasting: Methods and applications (2nd ed.). New York: Wiley.

Makridakis, S., Andersen, A., Carbone, R., Fildes, R., Hibon, M., Lewandowski, R., Newton, J., Parzen, R., & Winkler, R. (1982). The accuracy of extrapolation (time series) methods: Results of a forecasting competition. Journal of Forecasting, 1, 11-153.

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