Abstract
The emphasis until this chapter has been upon continuous random variables. Most discrete RV’s may, anyhow, be described as a Dirac limit of corresponding continuous RV’s (Sect. 3.12). But, now we want to consider a situation which is intrinsically discrete and has many applications to the world around us. This is the situation of repeated trials.
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Chapter 6
E. L. O’Neill: Introduction to Statistical Optics (Addison-Wesley, Reading, MA 1963)
J. R. Klauder, E. C. G. Sudarshan: Fundamentals of Quantum Optics (Benjamin, New York 1968)
M. Born, E. Wolf: Principles of Optics (Macmillan, New York 1959)
R. Hanbury-Brown, R. Q. Twiss: Proc. R. Soc. London A 248,201 (1958)
R. E. Burgess: Disc. Faraday Soc. 28,151 (1959)
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Additional Reading
Barrett, H. H., W. Swindell: Radiological Imaging, Vol. 1 (Academic, New York 1981)
Chow, Y. S., H. Teichen Probability Theory. Independence, Interchangeability, Martingales (Springer, Berlin, Heidelberg, New York 1978)
Moran, P. A. P.: An Introduction to Probability Theory (Clarendon, Oxford 1968)
Saleh, B. E. A., M. C. Teich: Proc. IEEE 70,229 (1982)
Thomas, J. B.: An Introduction to Statistical Communication Theory (Wiley, New York 1969)
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© 1983 Springer-Verlag Berlin Heidelberg
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Frieden, B.R. (1983). Bernoulli Trials and Its Limiting Cases. In: Probability, Statistical Optics, and Data Testing. Springer Series in Information Sciences, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-96732-0_6
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DOI: https://doi.org/10.1007/978-3-642-96732-0_6
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