Statistics

The mathematical study of the Likelihood and Probability of events occurring based on known information andinferred by taking a limited number of samples. Statistics plays an extremely important role in many aspects of economics andscience, allowing educated guesses to be made with a minimum of expensive or difficult-to-obtain data.

References

Statistics

Brown, K. S. ``Probability.''http://www.seanet.com/~ksbrown/iprobabi.htm.

Babu, G. and Feigelson, E. Astrostatistics. New York: Chapman & Hall, 1996.

Dixon, W. J. and Massey, F. J. Introduction to Statistical Analysis, 4th ed. New York: McGraw-Hill, 1983.

Feller, W. An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd ed. New York: Wiley, 1968.

Feller, W. An Introduction to Probability Theory and Its Applications, Vol. 2, 2nd ed. New York: Wiley, 1968.

Fisher, N. I.; Lewis, T.; and Embleton, B. J. J. Statistical Analysis of Spherical Data. Cambridge, England: Cambridge University Press, 1987.

Fisher, R. A. and Prance, G. T. The Design of Experiments, 9th ed. rev. New York: Hafner, 1974.

Fisher, R. A. Statistical Methods for Research Workers, 14th ed., rev. and enl. Darien, CO: Hafner, 1970.

Goldberg, S. Probability: An Introduction. New York: Dover, 1986.

Gonick, L. and Smith, W. The Cartoon Guide to Statistics. New York: Harper Perennial, 1993.

Goulden, C. H. Methods of Statistical Analysis, 2nd ed. New York: Wiley, 1956.

Hoel, P. G.; Port, S. C.; and Stone, C. J. Introduction to Statistical Theory. New York: Houghton Mifflin, 1971.

Hogg, R. V. and Tanis, E. A. Probability and Statistical Inference, 3rd ed. New York: Macmillan, 1988.

Keeping, E. S. Introduction to Statistical Inference. New York: Dover, 1995.

Kenney, J. F. and Keeping, E. S. Mathematics of Statistics, Pt. 1, 3rd ed. Princeton, NJ: Van Nostrand, 1962.

Kenney, J. F. and Keeping, E. S. Mathematics of Statistics, Pt. 2, 2nd ed. Princeton, NJ: Van Nostrand, 1951.

Kendall, M. G.; Stuart, A.; and Ord, J. K. Kendall's Advanced Theory of Statistics, Vol. 1: Distribution Theory, 6th ed. New York: Oxford University Press, 1987.

Kendall, M. G.; Stuart, A.; and Ord, J. K. Kendall's Advanced Theory of Statistics, Vol. 2A: Classical Inference and Relationship, 6th ed. New York: Oxford University Press, 1987.

Kendall, M. G.; Stuart, A.; and Ord, J. K. Kendall's Advanced Theory of Statistics, Vol. 2B: Bayesian Inference. New York: Oxford University Press, 1987.

Keynes, J. M. A Treatise on Probability. London: Macmillan, 1921.

Mises, R. von Mathematical Theory of Probability and Statistics. New York: Academic Press, 1964.

Mises, R. von Probability, Statistics, and Truth, 2nd rev. English ed. New York: Dover, 1981.

Mood, A. M. Introduction to the Theory of Statistics. New York: McGraw-Hill, 1950.

Mosteller, F. Fifty Challenging Problems in Probability with Solutions. New York: Dover, 1987.

Mosteller, F.; Rourke, R. E. K.; and Thomas, G. B. Probability: A First Course, 2nd ed. Reading, MA: Addison-Wesley, 1970.

Neyman, J. First Course in Probability and Statistics. New York: Holt, 1950.

Ostle, B. Statistics in Research: Basic Concepts and Techniques for Research Workers, 4th ed. Ames, IA: Iowa State University Press, 1988.

Papoulis, A. Probability, Random Variables, and Stochastic Processes, 2nd ed. New York: McGraw-Hill, 1984.

Press, W. H.; Flannery, B. P.; Teukolsky, S. A.; and Vetterling, W. T. ``Statistical Description of Data.'' Ch. 14 in Numerical Recipes in FORTRAN: The Art of Scientific Computing, 2nd ed. Cambridge, England: Cambridge University Press, pp. 603-649, 1992.

Pugh, E. M. and Winslow, G. H. The Analysis of Physical Measurements. Reading, MA: Addison-Wesley, 1966.

Rényi, A. Foundations of Probability. San Francisco, CA: Holden-Day, 1970.

Robbins, H. and van Ryzin, J. Introduction to Statistics. Chicago, IL: Science Research Associates, 1975.

Ross, S. M. A First Course in Probability, 5th ed. Englewood Cliffs, NJ: Prentice-Hall, 1997.

Ross, S. M. Introduction to Probability and Statistics for Engineers and Scientists. New York: Wiley, 1987.

Ross, S. M. Applied Probability Models with Optimization Applications. New York: Dover, 1992.

Ross, S. M. Introduction to Probability Models, 6th ed. New York: Academic Press, 1997.

Snedecor, G. W. Statistical Methods Applied to Experiments in Agriculture and Biology, 5th ed. Ames, IA: State College Press, 1956.

Tippett, L. H. C. The Methods of Statistics: An Introduction Mainly for Experimentalists, 3rd rev. ed. London: Williams and Norgate, 1941.

Todhunter, I. A History of the Mathematical Theory of Probability from the Time of Pascal to that of Laplace. New York: Chelsea, 1949.

Tukey, J. W. Explanatory Data Analysis. Reading, MA: Addison-Wesley, 1977.

Uspensky, J. V. Introduction to Mathematical Probability. New York: McGraw-Hill, 1937.

Weaver, W. Lady Luck: The Theory of Probability. New York: Dover, 1963.

Whittaker, E. T. and Robinson, G. The Calculus of Observations: A Treatise on Numerical Mathematics, 4th ed. New York: Dover, 1967.

Young, H. D. Statistical Treatment of Experimental Data. New York: McGraw-Hill, 1962.

Yule, G. U. and Kendall, M. G. An Introduction to the Theory of Statistics, 14th ed., rev. and enl. New York: Hafner, 1950.

• Salient Point
• Salinon
• Salmon's Theorem
• Saltus
• Sample Proportion
• Sample Space
• Sample Variance
• Sampling
• Sampling Function
• Sampling Theorem
• Sandwich Theorem
• San Marco Fractal
• Sard's Theorem
• Sarkovskii's Theorem
• Sarrus Linkage
• Sarrus Number
• SAS Theorem
• Satellite Knot
• Satisfiability Problem
• Sausage Conjecture
• Savitzky-Golay Filter
• Savoy Knot
• Scalar
• Scalar Curvature
• Scalar Field