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…mehr
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)].
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.
Inhaltsangabe
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.
1. Introduction by R.E.Fancher: Galton,F. (1889) Co-relations and their measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz: McKendrick, A.G.(1926) Applications of mathematics to medical problems; 3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948) Large sample tests of statistical hypotheses concerning several parameters with application to problems of estimation; 5. Introduction by M.H. Gail: Cornfield, J.(1951) A method of estimating comparative rates from clinical data. Applications to cancer of the lung, breast and cervix; 6. Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels, H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine calculation of complex Fourier series; 9. Introduction by R.J. Beran: Hajek, J.(1970) A characterization of limiting distributions of regular estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo sampling methods using Markov chains and their applications; 11. Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes estimates for the linear model; 12. Introduction by R.L. Smith: Besag, J.(1974) Spatial interaction and the statistical analysis of lattice systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On optimality of some statistical estimates; 14. Introduction by I.W. McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition probabilities in multiple decrement models; 15. Introduction by G.G. Letac: Morris, C.N.(1982) Natural exponential families with quadratic variance functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983) On a formula for the distribution of the maximum likelihood estimator; 17. Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images; 18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger, S.L.(1986) Longitudinal data analysis using generalized linear models; 20. Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of bootstrap confidence intervals; 21. Introduction by D.M. Timerington: Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to calculating marginal densities.
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.
1. Introduction by R.E.Fancher: Galton,F. (1889) Co-relations and their measurement, chiefly from anthropometric data; 2. Introduction by K. Dietz: McKendrick, A.G.(1926) Applications of mathematics to medical problems; 3.Introduction by D.R. Cox: Yates, F.and Cochran, W.G.(1938) The analysis of groups of experiments; 4. Introduction by P.K. Sen: Rao, C.R.(1948) Large sample tests of statistical hypotheses concerning several parameters with application to problems of estimation; 5. Introduction by M.H. Gail: Cornfield, J.(1951) A method of estimating comparative rates from clinical data. Applications to cancer of the lung, breast and cervix; 6. Introduction by M. Calder and R.A. Davis: Whittle, P.(1953) The analysis of multiple stationary time series; 7. Introduction by E. Ronchetti: Daniels, H.E.(1954) Saddlepoint approximations in statistics; 8. Introduction by I.J. Good: Cooley, J.W. and Turkey, J.W.(1965) An algorithm for the machine calculation of complex Fourier series; 9. Introduction by R.J. Beran: Hajek, J.(1970) A characterization of limiting distributions of regular estimates; 10. Introduction by T.L. Lai: Hastings, W.K.(1970) Monte Carlo sampling methods using Markov chains and their applications; 11. Introduction by J.J. Deely: Lindley, D.V.and Smith, A.F.M.(1972) Bayes estimates for the linear model; 12. Introduction by R.L. Smith: Besag, J.(1974) Spatial interaction and the statistical analysis of lattice systems; 13. Introduction by J.F. Pfanzagl: Levit, B.Ya.(1974) On optimality of some statistical estimates; 14. Introduction by I.W. McKeague: Aalen, O.(1978) Nonparametric estimation of partial transition probabilities in multiple decrement models; 15. Introduction by G.G. Letac: Morris, C.N.(1982) Natural exponential families with quadratic variance functions; 16. Introduction by T.H. DiCiccio: Barndorff-Nielsen, O.E.(1983) On a formula for the distribution of the maximum likelihood estimator; 17. Introduction by P.J. Huber: Geman, S. and Geman, D.(1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images; 18. Introduction by D.G. Simpson: Rousseeuw, P.J.(1984) Least median of squares regressions; 19. Introduction by P.J. Diggle. Liang, K.Y.and Zeger, S.L.(1986) Longitudinal data analysis using generalized linear models; 20. Introduction by E. Mammen. Hall, P.(1988) Theoretical comparison of bootstrap confidence intervals; 21. Introduction by D.M. Timerington: Gelfand, A.E.and Smith, A.F.M.(1990) Sampling-based approaches to calculating marginal densities.
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