Учебник по промышленной статистике


Список использованной литературы - часть 23


Jennrich, R. I. (1977). Stepwise regression. In K. Enslein, A. Ralston, & H.S. Wilf (Eds.), Statistical methods for digital computers. New York: Wiley.

Jennrich. R. I. (1977). Stepwise discriminant analysis. In K. Enslein, A. Ralston, & H.S. Wilf (Eds.), Statistical methods for digital computers. New York: Wiley.

Jennrich, R. I., & Moore, R. H. (1975). Maximum likelihood estimation by means of nonlinear least squares. Proceedings of the Statistical Computing Section, American Statistical Association, 57-65.

Jennrich, R. I., & Sampson, P. F. (1968). Application of stepwise regression to non-linear estimation. Technometrics, 10, 63-72.

Jennrich, R. I., & Sampson, P. F. (1976). Newton-Raphson and related algorithms for maximum likelihood variance component estimation. Technometrics, 18, 11-17.

Jennrich, R. I., & Schuchter, M. D. (1986). Unbalanced repeated-measures models with structured covariance matrices. Biometrics, 42, 805-820.

Johnson, L. W., & Ries, R. D. (1982). Numerical Analysis (2nd ed.). Reading, MA: Addison Wesley.

Johnson, N. L. (1961). A simple theoretical approach to cumulative sum control charts. Journal of the American Statistical Association, 56, 83-92.

Johnson, N. L. (1965). Tables to facilitate fitting SU frequency curves. Biometrika, 52, 547.

Johnson, N. L., & Kotz, S. (1970). Continuous univariate distributions, Vol I and II. New York: Wiley.

Johnson, N. L., & Leone, F. C. (1962). Cumulative sum control charts - mathematical principles applied to their construction and use. Industrial Quality Control, 18, 15-21.

Johnson, N. L., Nixon, E., & Amos, D. E. (1963). Table of percentage points of pearson curves. Biometrika, 50, 459.

Johnson, N. L., Nixon, E., Amos, D. E., & Pearson, E. S. (1963). Table of percentage points of Pearson curves for given 1 and 2, expressed in standard measure. Biometrika, 50, 459-498.

Johnson, P. (1987). SPC for short runs: A programmed instruction workbook. Southfield, MI: Perry Johnson.




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