[1] Anita, H.M. (2002) Numerical Methods for Scientist and Engineers. Birkhauser-Verlag, Switzerland.
[2] Baushev, A.N. and Morozova, E.Y. (2007) A Multidimensional Bisection Method for Minimizing Function over Simplex. Lectures Notes in Engineering and Computer Science, 2, 801-803.
[3] Darvishi, M.T. and Barati, A. (2007) A Third-Order Newton-Type Method to Solve Systems of Nonlinear Equations. Applied Mathematics and Computation, 87, 630-635.
[4] Jamil, N. (2013) A Comparison of Iterative Methods for the Solution of Non-Linear Systems of Equations. International Journal of Emerging Science, 3, 119-130.
[5] Murray, W. and Overton, M.L. (1979) Steplength Algorithm for Minimizing a Class of Nondifferentiable Functions. Computing, 23, 309-331.
http://dx.doi.org/10.1007/BF02254861
[6] Hornberger, G. and Wiberd, P. (2005) User’s Guide for: Numerical Methods in the Hydrological Sciences, in Numerical Methods in the Hydrological Sciences.
http://dx.doi.org/10.1002/9781118709528
[7] Bishop, C.M. (1991) A Fast Procedure for Retraining the Multilayer Perceptron. International Journal of Neural Systems, 2, 229-236.
http://dx.doi.org/10.1142/S0129065791000212
[8] Bishop, C.M. (1992) Exact Calculation of the Hessian Matrix for the Multilayer Perceptron. Neural Computation, 4, 494-501.
http://dx.doi.org/10.1162/neco.1992.4.4.494
[9] Bishop, C.M. and Nabney, I.T. (2008) Pattern Recognition and Machine Learning: A Matlab Companion. Springer, In preparation.
[10] Mackay, D.J.C. (1988) Introduction to Gaussian Processes. In: Bishop, C.M., Ed., Neural Networks and Machine Learning, Springer.
[11] Mackay, D.J.C. (2003) Information Theory, Inference and Learning Algorithms. Cambridge University Press, Cambridge.
[12] Richard, J., Douglas, F. and Burden, L. (2005) Numerical Analysis. 9th Edition, Cengage Learning, Boston.
[13] Robert, W.H. (1975) Numerical Analysis. Quantum Publishers, New York.
[14] Bhatti, S. (2008) Analysis of the S. pombe Sister Chromatid Cohesin Subunit in Response to DNA Damage Agents During Mitosis. PhD Thesis, University of Glasgow.
http://theses.gla.ac.uk/292/
[15] Wood, G. (1989) The Bisection Method in Higher Dimensions. Mathematical Programming, 55, 319-337.
[16] Myung, I.J., Forster, M. and Browne, M.W. (2000) Special Issue on Model Selection. Journal of Mathematical Psychology, 44, 1-2.
[17] Myung, I.J. (2003b) Tutorial on Maximum Likelihood Estimation. Journal of Mathematical Psychology, 47, 90-100.
http://dx.doi.org/10.1016/S0022-2496(02)00028-7
[18] Berndt, E.K., Hall, B.H. and Hall, R.E. (1974) Estimation and Inference in Nonlinear Structural Models. Annals of Economic and Social Measurement, 3, 653-665.
[19] Kloppers, P.H., Kikawa, C.R. and Shatalov, M.Y. (2012) A New Method for Least Squares Identification of Parameters of the Transcendental Equations. International Journal of the Physical Sciences, 7, 5218-5223.
http://dx.doi.org/10.5897/IJPS12.506
[20] Krishnamoorthy, K. (2006) Handbook of Statistical Distributions with Applications. Chapman & Hall/CRC, London.
http://dx.doi.org/10.1201/9781420011371
[21] Duda, R.O., Hart, P.E. and Stork, D.G. (1995) Pattern Classification and Scene analysis. John Wiley and Sons, New York.
[22] Fayyad, U., Reina, C. and Bradley, P.S. (1998) Initialization of Iterative Refinement Clustering Algorithms. Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining (KDD98), New York, 27-31 August 1998, 194-198.
[23] Kikawa, C.R., Shatalov, M.Y. and Kloppers, P.H. (2015) A Method for Computing Initial Approximations for a 3-Parameter Exponential Function. Physical Science International Journal, 6, 203-208.
http://dx.doi.org/10.9734/PSIJ/2015/16503
[24] Pearson, K. and Lee, A. (1903) On the Laws of Inheritance in Man: Inheritance of Physical Characters. Biometrika, 2, 357-462.
http://dx.doi.org/10.1093/biomet/2.4.357
[25] Sokal, R.R. and Hunter, P.E. (1955) A Morphometric Analysis of DDT-Resistant and Non-Resistant Housefly Strains. Annals of the Entomological Society of America, 48, 499-507.
http://dx.doi.org/10.1093/aesa/48.6.499
[26] Hohle, J. (2009) Accuracy Assessment of Digital Elevation Models by Means of Robust Statistical Methods. Japan Society of Photogrammetry and Remote Sensing, 64, 398-406.
http://dx.doi.org/10.1016/j.isprsjprs.2009.02.003
[27] Searl, R.S. (1971) Linear Models: John Wiley and Sons, Hoboken.
[28] Kay, M.S. (1993) Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall, Upper Saddle River.
[29] Muller, K.E. and Stewart, P.W. (2006) Linear Models Theory: Univariate, Multivariate, and Mixed Models. John Wiley and Sons, Hoboken.
http://dx.doi.org/10.1002/0470052147
[30] NIST/SEMATECH (2012) e-Handbook of Statistical Methods.
http://www.itl.nist.gov/div898/handbook/
[31] Burden, R.L. and Douglas, J.F. (2000) Numerical Analysis. 7th Edition, Brooks/Cole, Pacific Grove.
[32] D’Agostino, R.B., Belanger, A., Ralph, B. and D’Agostino Jr., R.B. (1990) A Suggestion for Using Powerful and Informative Tests of Normality. The American Statistician, 44, 316-321.