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ENGINEERING AND SOFTWARE |
Mathematical Modelling and Probability Theory
[1] J.G. Andrews and R.R. Mclone, Mathematical Modelling,
Butterworths, London, 1976.
[2] R. Aris, Mathematical Modelling Techniques, Pitman, 1978.
[3] C.A. Bender, An Introduction to Mathematical Modelling, Wiley Inter-Science, New York, 1978.
[4] A.T. Bharucha-Reid, Elements of the Theory of Markov Processes and Their Applications, McGraw-Hill, New York, 1960.
[5] C.A. Brabbia and J.J. Connon (eds.), Applied Mathematical Modelling, IPC Science and Technology Press, Guidlford, 1977.
[6] H. Burkhardt, The Real World and Mathematics, Shell Centre for Mathematics Education, London, 1976.
[7] R.B. Cooper, Introduction to Queuing Theory, North-Holland, New York, 1981.
[8] H. Cramer, Mathematical Methods of Statistics, Princeton University Press, Princeton, 1946.
[9] W.B. Davenport Jr. and W.L. Root, An Introduction to the Theory of Random Signals and Noise, McGraw-Hill, New York, 1958.
[10] J.L. Doob, Stochastic Processes, John Wiley & Sons, New York, 1953.
[11] W. Feller, An Introduction to Probability Theory and Its Applications, vols. I-II, John Wiley & Sons, New York, 1957-67.
[12] H. Hahamann, Mathematical Models, Prentice-Hall, Englewood Cliffs, 1977.
[13] J.N. Kapur, Mathematical Modelling, Wiley Eastern Limited, New Delhi, 1989.
[14] P. Lancaster, Mathematical Models of the Real World, Prentice-Hall, Englewood Cliffs, 1976.
[15] J.H. Laning and R.H. Battin, Random Processes in Automatic Control, McGraw-Hill, New York, 1956.
[16] C.C. Lin and L.A. Segal, Methematics Applied to Deterministic Problems in the Natural Sciences, McMillan, New York, 1974.
[17] N.E. Nahi, Estimations Theory and Applications, John Wiley & Sons, New York, 1969.
[18] A. Papoulis, The Fourier Integral and Its Applications, McGraw-Hill, New York, 1962.
[19] A. Papoulis, Probability and Statistics, Prentice-Hall, Englewood Cliffs, 1990.
[20] A. Papoulis, Probability, Random Variables, and Stochastic Processes, McGraw-Hill, New York, 1991.
[21] E. Parzen, Modern Probability Theory and Its Application, John Wiley & Sons, New York, 1960.
[2] R. Aris, Mathematical Modelling Techniques, Pitman, 1978.
[3] C.A. Bender, An Introduction to Mathematical Modelling, Wiley Inter-Science, New York, 1978.
[4] A.T. Bharucha-Reid, Elements of the Theory of Markov Processes and Their Applications, McGraw-Hill, New York, 1960.
[5] C.A. Brabbia and J.J. Connon (eds.), Applied Mathematical Modelling, IPC Science and Technology Press, Guidlford, 1977.
[6] H. Burkhardt, The Real World and Mathematics, Shell Centre for Mathematics Education, London, 1976.
[7] R.B. Cooper, Introduction to Queuing Theory, North-Holland, New York, 1981.
[8] H. Cramer, Mathematical Methods of Statistics, Princeton University Press, Princeton, 1946.
[9] W.B. Davenport Jr. and W.L. Root, An Introduction to the Theory of Random Signals and Noise, McGraw-Hill, New York, 1958.
[10] J.L. Doob, Stochastic Processes, John Wiley & Sons, New York, 1953.
[11] W. Feller, An Introduction to Probability Theory and Its Applications, vols. I-II, John Wiley & Sons, New York, 1957-67.
[12] H. Hahamann, Mathematical Models, Prentice-Hall, Englewood Cliffs, 1977.
[13] J.N. Kapur, Mathematical Modelling, Wiley Eastern Limited, New Delhi, 1989.
[14] P. Lancaster, Mathematical Models of the Real World, Prentice-Hall, Englewood Cliffs, 1976.
[15] J.H. Laning and R.H. Battin, Random Processes in Automatic Control, McGraw-Hill, New York, 1956.
[16] C.C. Lin and L.A. Segal, Methematics Applied to Deterministic Problems in the Natural Sciences, McMillan, New York, 1974.
[17] N.E. Nahi, Estimations Theory and Applications, John Wiley & Sons, New York, 1969.
[18] A. Papoulis, The Fourier Integral and Its Applications, McGraw-Hill, New York, 1962.
[19] A. Papoulis, Probability and Statistics, Prentice-Hall, Englewood Cliffs, 1990.
[20] A. Papoulis, Probability, Random Variables, and Stochastic Processes, McGraw-Hill, New York, 1991.
[21] E. Parzen, Modern Probability Theory and Its Application, John Wiley & Sons, New York, 1960.
