Breakthroughs in Statistics: Foundations and Basic Theory

ISBN-13: 9780387940373 / Angielski / Miękka / 1993 / 632 str.

Kotz; Samuel Kotz; Norman L. Johnson

Opis

McCrimmon, having gotten Grierson's attention, continued: "A breakthrough, you say? If it's in economics, at least it can't be dangerous. Nothing like gene engineering, laser beams, sex hormones or international relations. That's where we don't want any breakthroughs. " (Galbraith, 1. K. (1990) A Tenured Profes- sor, Houghton Miffiin; Boston. ) To judge astronomy] in this way a narrow utilitarian point of view] demon- strates not only how poor we are, but also how small, narrow, and indolent our minds are; it shows a disposition always to calculate the payolIbefore the work, a cold heart and a lack of feeling for everything that is great and honors man. One can unfortunately not deny that such a mode of thinking is not uncommon in our age, and I am convinced that this is closely connected with the catastro- phes which have befallen many countries in recent times; do not mistake me, I do not talk of the general lack of concern for science, but of the source from which all this has come, of the tendency to everywhere look out for one's advan- tage and to relate everything to one's physical well-being, of the indilIerence towards great ideas, ofthe aversion to any elIort which derives from pure enthu- siasm: I believe that such attitudes, if they prevail, can be decisive in catas- trophes of the kind we have experienced. Gauss, K. F.: Astronomische An- trittsvorlesung (cited from Buhler, W. K. (1981) Gauss: A Biographical Study, Springer: New York)].

Spis treści

by S. Geisser.- Fisher, R.A. (1922) On the Mathematical Foundations of Theoretical Statistics.- by T.W. Anderson.- Hotelling, H. (1931) The Generalization of Student’s Ratio.- by E.L. Lehmann.- Neyman, J. and Pearson, E.S. (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses.- by D.A.S. Fraser.- by D.A.S. Fraser.- by R.E. Barlow.- de Finetti, B. (1937) Foresight: It’s Logical Laws, Its Subjective Sources.- by M.R. Leadbetter.- Cramér, H. (1942) On Harmonic Analysis in Certain Functional Spaces.- by R.L. Smith.- Gnedenko, B.V. (1943) On the Limiting Distribution of the Maximum Term in a Random Series.- by P.K. Pathak.- Rao, C.R. (1945) Information and the Accuracy Attainable in the Estimation of Statistical Parameters.- by B.K. Ghosh.- Wald, A. (1945) Sequential Tests of Statistical Hypotheses.- by P.K. Sen.- Hoeffding, W. (1948) A Class of Statistics with Asymptotically Normal Distribution.- by L. Weiss.- Wald, A. (1949) Statistical Decision Functions.- by D.V. Lindley.- by D.V. Lindley.- by I.J. Good.- Robbins, H.E. (1955) An Empirical Bayes Approach to Statistics.- by H.P. Wynn.- Kiefer, J.C. (1959) Optimum Experimental Designs.- by B. Efron.- by B. Efron.- by J.F. Bjþrnstad.- Birnbaum, A. (1962) On the Foundations of Statistical Inference.- by W.U. DuMouchel.- Edwards, W., Lindman, H., and Savage, L.J. (1963) Bayesian Statistical Inference for Psychological Research.- by N. Reid.- Fraser, D.A.S. (1966) Structural Probability and a Generalization.- by J. de Leeuw.- Akaike, H. (1973) Information Theory and an Extension of the Maximum Likelihood Principle.

O autorze

Samuel Kotz, PhD, honorary Doctor of Science, is professor and research scholar at the Department of Engineering Management and Systems Engineering at George Washington University in Washington, D.C.