Egwald Statistics: Probability and Stochastic Processes

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Elmer G. Wiens

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Distributions | Sampling Distributions | Sample Mean | Hypotheses Testing | Random Walk | References

Probability References and Links

• Billingsley, Patrick. Convergence of Probability Measures. New York: John Wiley, 1968.
• Bulmer, M. G. Principles of Statistics. Edinburgh: Oliver & Boyd, 1965.
• Chow, Y. S., Herbert Robbins and David Siegmund. Great Expectations: The Theory of Optimal Stopping. New York: Houghton Mifflin, 1971.
• DeGroot, Morris H. Optimal Statistical Decisions. New York: McGraw-Hill,1970.
• Freund, John E. and Frank J. Williams. Modern Business Statistics. Englewood Cliffs, N.J.: Prenctice-Hall, 1958.
• Freund, John E. Mathematical Statistics. Englewood Cliffs, N.J.: Prenctice-Hall, 1962.
• Grimmett, Geoffrey and David Stirzaker. Probability and Random Processes. 3rd ed. Oxford: Oxford UP, 2001.
• Hodges, J.L., Jr. and E.L. Lehmann. Basic Concepts of Probability and Statistics. San Francisco: Holden-Day, 1964.
• Karlin, Samuel. A First Course in Stochastic Processes. New York: Academic Press, 1966.
• Lee, Peter M. Bayesian Statistics: An Introduction. 2nd ed. Arnold: London, 1997.
• Rice, John A. Mathematical Statistics and Data Analysis. 2nd ed. Belmont, CA: Duxbury, 1995.
• Winkler, Robert L. An Introduction to Bayesian Inference and Decision. New York: Holt, Rinehart and Winston, 1972.