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Data Analysis: What Can Be Learned From the Past 50 Years
book

Data Analysis: What Can Be Learned From the Past 50 Years

by Peter J. Huber
April 2011
Beginner
234 pages
5h 59m
English
Wiley
Content preview from Data Analysis: What Can Be Learned From the Past 50 Years

REFERENCES

Avriel, M. (1976). Nonlinear Programming. Analysis and Methods. Prentice Hall, NJ. Reprinted by Dover Publishing (2003)

Benzécri, J. P. (1992). Correspondence Analysis Handbook. New York, Marcel Dekker.

Besag, J., Green, P., Higdon, D., and Mengersen, K. (1995). Bayesian computations and stochastic systems. Statistical Science, 10, 1–66.

Bickel, P. J., Hammel, E. A., and J. W. O’Connell (1975). Sex Bias in Graduate Admissions: Data from Berkeley. Science, 187, 398–404.

Black, P. (1976). Multidimensional Scaling Applied to Linguistic Relationships. Cahiers de l’Institut de Linguistique de Louvain, v3 n5-6 Dec 1976, here cited from “www.eric.ed.gov/ERICWebPortal/recordDetail?accno=ED149581

Boneva, L. I. (1971). A new approach to a problem of chronological seriation associated with the works of Plato. Mathematics in the Archaeological and Historical Sciences, pp. 173–185, (eds Hodson, F. R., Kendall, D. G., and Tautu, P.). Edinburgh University Press.

Box, G. E. P. (1980). Sampling and Bayes’ Inference in Scientific Modelling and Robustness. J. R. Statist. Soc. A 143, 383–430.

Box, G. E. P. (1990). Comment. Statistical Science, 5, 390–391.

Brainerd, B. (1979). Pronouns and Genre in Shakespeare’s Drama. Computers and the Humanities, 13, 3–16.

Breiman, L. (2004). Comment on the NSF Report on the Future of Statistics, Statistical Science, 19, 411.

Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J. (1984). Classification And Regression Trees. Chapman and Hall, London. ...

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