References - L


Lagakos, S. W., & Kuhns, M. H. (1978). Maximum likelihood estimation for censored exponential survival data with covariates. Applied Statistics, 27, 190-197.

Lakatos, E., & Lan, K. K. G. (1992). A comparison of sample size methods for the logrank statistic. Statistics in Medicine, 11, 179-191.

Lance, G. N., & Williams, W. T. (1966). A general theory of classificatory sorting strategies. Computer Journal, 9, 373.

Lance, G. N., & Williams, W. T. (1966). Computer programs for hierarchical polythetic classification ("symmetry analysis"). Computer Journal, 9, 60.

Larsen, W. A., & McCleary, S. J. (1972). The use of partial residual plots in regression analysis. Technometrics, 14, 781-790.

Lawless, J. F. (1982). Statistical models and methods for lifetime data. New York: Wiley.

Lawley, D. N., & Maxwell, A. E. (1971). Factor analysis as a statistical method. New York: American Elsevier.

Lawley, D. N., & Maxwell, A. E. (1971). Factor analysis as a statistical method (2nd. ed.). London: Butterworth & Company.

Lebart, L., Morineau, A., and Tabard, N. (1977). Techniques de la description statistique. Paris: Dunod.

Lebart, L., Morineau, A., and Warwick, K., M. (1984). Multivariate descriptive statistical analysis: Correspondence analysis and related techniques for large matrices. New York: Wiley.

Lee, E. T. (1980). Statistical methods for survival data analysis. Belmont, CA: Lifetime Learning.

Lee, E. T., & Desu, M. M. (1972). A computer program for comparing K samples with right-censored data. Computer Programs in Biomedicine, 2, 315-321.

Lee, E. T., Desu, M. M., & Gehan, E. A. (1975). A Monte-Carlo study of the power of some two-sample tests. Biometrika, 62, 425-532.

Lee, S., & Hershberger, S. (1990). A simple rule for generating equivalent models in covariance structure modeling. Multivariate Behavioral Research, 25, 313-334.

Lee, Y. S. (1972). Tables of upper percentage points of the multiple correlation coefficient. Biometrika, 59, 175189.

Legendre, A. M. (1805). Nouvelles Methodes pour la Determination des Orbites des Cometes. Paris: F. Didot.

Lehmann, E. L. (1975). Nonparametrics: Statistical methods based on ranks. San Francisco: Holden-Day.

Lennox, B., Hiden, H. G., Montague, G. A., Kornfeld, G., & Goulding, P. R. Application of multivariate statistical process control to batch operations, Elsevier, Computers and Chemical Engineering 24 (200) 291-296.

Levenberg, K. (1944). A method for the solution of certain non-linear problems in least squares. Quarterly Journal of Applied Mathematics II (2), 164-168.

Lewicki, P., Hill, T., & Czyzewska, M. (1992). Nonconscious acquisition of information. American Psychologist, 47, 796-801.

Lieblein, J. (1953). On the exact evaluation of the variances and covariances of order statistics in samples form the extreme-value distribution. Annals of Mathematical Statistics, 24, 282-287.

Lieblein, J. (1955). On moments of order statistics from the Weibull distribution. Annals of Mathematical Statistics, 26, 330-333.

Lilliefors, H. W. (1967). On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association, 64, 399-402.

Lim, T.-S., Loh, W.-Y., & Shih, Y.-S. (1997). An empirical comparison of decision trees and other classification methods. Technical Report 979, Department of Statistics, University of Wisconsin, Madison.

Lindeman, R. H., Merenda, P. F., & Gold, R. (1980). Introduction to bivariate and multivariate analysis. New York: Scott, Foresman, & Co.

Lindman, H. R. (1974). Analysis of variance in complex experimental designs. San Francisco: W. H. Freeman & Co.

Linfoot, E. H. (1957). An informational measure of correlation. Information and Control, 1, 50-55.

Linn, R. L. (1968). A Monte Carlo approach to the number of factors problem. Psychometrika, 33, 37-71.

Lipson, C., & Sheth, N. C. (1973). Statistical design and analysis of engineering experiments. New York: McGraw-Hill.

Littell, R.C., Milliken, G.A., Stroup, W.W., and Wolfinger, R.D. (1996). SAS System for Mixed Models. Cary, NC: SAS Institute Inc.

Lloyd, D. K., & Lipow, M. (1977). Reliability: Management, methods, and mathematics. New York: McGraw-Hill.

Loehlin, J. C. (1987). Latent variable models: An introduction to latent, path, and structural analysis. Hillsdale, NJ: Erlbaum.

Loh, W.-Y, & Shih, Y.-S. (1997). Split selection methods for classification trees. Statistica Sinica, 7, 815-840.

Loh, W.-Y., & Vanichestakul, N. (1988). Tree-structured classification via generalized discriminant analysis (with discussion). Journal of the American Statistical Association, 83, 715-728.

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.

Lowe, D. (1989). Adaptive radial basis function non-linearities, and the problem of generalisation. First IEEE International Conference on Artificial Neural Networks, 171-175, London, UK.

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.