By Leon Jay Gleser, Michael D. Perlman, S. James Press, Allan R. Sampson (auth.), Leon Jay Gleser, Michael D. Perlman, S. James Press, Allan R. Sampson (eds.)
Published in honor of the sixty-fifth birthday of Professor Ingram Olkin of Stanford college. half I includes a short biography of Professor Olkin and an interview with him discussing his profession and his learn pursuits. half II comprises 32 technical papers written in Professor Olkin's honor via his collaborators, colleagues, and Ph.D. scholars. those unique papers conceal a wealth of issues in mathematical and utilized records, together with likelihood inequalities and characterizations, multivariate research and organization, linear and nonlinear versions, rating and choice, experimental layout, and ways to statistical inference. the quantity displays the big variety of Professor Olkin's pursuits in and contributions to investigate in information, and offers an outline of latest advancements in those components of research.
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Extra resources for Contributions to Probability and Statistics: Essays in Honor of Ingram Olkin
K. Gupta), D. Reidel: Boston, 303-314. A conversation with Morris Hansen, Statistical Science, 2, 162-179. L. Eaton), Ann. Statist. 15, 1639--1650. V. Hedges), Foundations of Statistical Inference, (ed. by I. B. J. Umphrey), D. Reidel: Boston, 63-72. W. Marshall), J. Amer. Statist. , 83, 834-841. TRANSLATIONS Linnik, Ju. V. Linear Forms and Statistical Criteria, I. Ukrain Mat. Zurnal 5 (1933), 207-243. Translated jointly with M. Gourary, B. Hannan, in Selected- Translations in Mathematical Statistics and Probability, Vol.
Anderson), Ann. , 14, 405-417. V. Hedges), Educational Researcher, 14-21. 1987 A semi-parametric approach to density estimation (with C. Spiegelman), J. Amer. Statist. , 82, 858-865. W. Anderson and L. Underhill), SIAM Journal of Scientific and Statistical Computing, 8, 625--629. A model for interlaboratory differences (with M. Sobel), Advances in Multivariate Statistical Analysis, (ed. K. Gupta), D. Reidel: Boston, 303-314. A conversation with Morris Hansen, Statistical Science, 2, 162-179. L.
H. (1913). On the determination of the summability of a function by means of its Fourier constants. Proc. London Math. Soc. 2 (12), 71-88. 2 Peakedness of Weighted Averages of Jointly Distributed Random Variables Wai Chan 1 Dong Ho Park2 Frank Proschan3 ABSTRACT This note extends the Proschan (1965) result on peakedness comparison for convex combinations of LLd. random variables from a PF2 density. Now the underlying random variables are jointly distributed from a Schur-concave density. The result permits a more refined description of convergence in the Law of Large Numbers.