To study the methods, you can download the Mathematical & engineering components Software Methods Manual (abbreviation ME.com) at the link https://me-com.sourceforge.io.
The references to main scientific monographs necessary for studying the algorithms of the program and the contents of the conclusions of the reports, in alphabetical order (some of the works have translations into local languages):
Aalen O.O., Borgan O., Gjessing H.K. Survival and event history analysis: A process point of view. – New York, NY: Springer Verlag, 2008.
Afifi A.A., Azen S.P. Statistical analysis. A computer oriented approach. - New York, NY: Academic Press, 1979.
Aldenderfer M.S., Blashfield R.K. Cluster analysis. - Beverly Hills, CA: SAGE Publications, 1985.
Brandt S. Data analysis. Statistical and computational methods for scientists and engineers. - New York, NY: Springer Verlag, 2003.
Bethea R.M., Duran B.S., Boullion T.L. Statistical methods for engineers and scientists. - New York, NY: Marcel Dekker, 1995.
Brownlee K.A. Statistical theory and methodology in sciences and engineering. - New York, NY: John Wiley & Sons, 1965.
Cameron A.C., Trivedi P.K. Regression analysis of count data. - Cambridge, NY: Cambridge University Press, 1998.
Conover W.J. Practical nonparametric statistics. - New York, NY: John Wiley & Sons, 1999.
Cox, T.F., Cox, M.A.A. Multidimensional scaling. - New York, NY: Chapman & Hall/CRC, 2001.
Davison M.L. Multidimensional scaling. - New York, NY: John Wiley & Sons, 1983.
Dennis J.E,Jr., Schnabel R.B. Numerical methods for unconstrained optimization and nonlinear equation. - Englewood Cliffs, NJ: Prentice-Hall, 1983.
Desu M.M., Raghavarao D. Nonparametric statistical methods for complete and censored data. - Boca Raton, FL: Chapman & Hall/CRC, 2004.
Dougherty C. Introduction to econometrics. - New York, NY: Oxford University Press, 1992.
Fagerland M.W., Lydersen S., Laake P. Statistical analysis of contingency tables. - Boca Raton, FL: Chapman & Hall/CRC, 2017.
Gantmacher F.R. The theory of matrices. Volume one. - New York, NY: AMS Chelsea Publishing, 1990.
Glantz S.A. Primer of biostatistics. - New York, NY: McGraw-Hill, 2012.
Hairer E., Norsett S.P., Wanner G. Solving ordinary differential equations I. Nonstiff problems. - Berlin: Springer Verlag, 1993.
Hairer E., Wanner G. Solving ordinary differential equations II. Stiff and differential-algebraic problems - Berlin: Springer Verlag, 1996.
Hajek J., Sidak Z., Sen P.K. Theory of rank tests. - New York, NY: Academic Press, 1999.
Harman H.H. Modern factor analysis. - Chicago, IL: University of Chicago Press, 1976.
Hastie T., Tibshirani R., Friedman J. The elements of statistical learning: data mining, inference and prediction. - New York, NY: Springer Verlag, 2009.
Hettmansperger T.P. Statistical inference based on ranks. - New York, NY: John Wiley & Sons, 1984.
Hollander M., Wolfe D.A., Chiken E. Nonparametric statistical methods. - New York, NY: John Wiley & Sons, 2014.
Hosmer D.W., Lemeshow S. Applied logistic regression. - New York, NY: John Wiley & Sons, 2000.
Kim J.-O., Mueller C.W. Factor analysis: Statistical methods and practical issues. - Beverly Hills, CA: SAGE Publications, 1986.
Kullback S. Information theory and statistics. - Gloucester, MA: Peter Smith, 1978.
Maindonald J.H. Statistical computation. - New York, NY: John Wiley & Sons, 1984.
Motulsky H.J. Intuitive biostatistics. - New York, NY: Oxford University Press, 1995.
Mulaik S.A. Foundations of factor analysis. - Boca Raton, FL: Chapman & Hall/CRC, 2009.
Pampel F.C. Logistic regression: A primer. - Thousand Oaks, CA: SAGE Publications, 2000.
Pollard J.H. A handbook of numerical anad statistical techniques. - Cambridge: Cambridge University Press, 1981.
Runyon R.P. Nonparametric statistics. A contemporary approach. - Reading, MA: Addison-Wesley, 1977.
Ryan T.P. Modern regression methods. - New York, NY: John Wiley & Sons, 1997.
Scheffe H. The analysis of variance. - New York, NY: John Wiley & Sons, 1999.
Siegel S., Castellan N.J. Nonparametric statistics for the behavioral sciences. - New York, NY: McGraw Hill, 1988.
Sokal R.R., Rohlf F.J. Biometry: The principles and practice of statistics in biological research. - New York, NY: WH Freeman and Company, 1995.
Torgerson W.S. Theory and methods of scaling. - New York, NY: John Wiley & Sons, 1958.
Wilkinson J.H., Reinsch C. Handbook for automatic computation, Volume II, Linear algebra. - New York, NY: Springer Verlag, 1971.
