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Wald, Abraham. On the Principles of Statistical Inference. Notre Dame, Ind., 1942. Notre Dame Mathematical Lectures, no. 1. University of Notre Dame. 9"x 6", 50 pp. Lithoprinted from typed originals by Edwards Brothers in Detroit. VG+ condition. |\|Wald outlines three special cases of statistical inference over four lectures. Surprisingly there are only 11 copies of this pamphlet located in WorldCat only two in the U.S. |\| "Abraham Wald (1902-1950) was a.mathematician who contributed to decision theory, geometry, and econometrics, and founded the field of statistical sequential analysis. One of the well known statistical works of his during World War II was how to minimize the damage to bomber aircraft taking into account the survivorship bias in his calculations. He spent his researching years at Columbia University.During World War II, Wald was a member of the Statistical Research Group (SRG) at Columbia University, where he applied his statistical skills to various wartime problems. These included methods of sequential analysis and sampling inspection. One of the problems that the SRG worked on was to examine the distribution of damage to aircraft returning after flying missions so as to provide advice on how to minimize bomber losses to enemy fire. Wald derived a useful means of estimating the damage distribution for all aircraft that flew from the data on the damage distribution of all aircraft that returned. His work is considered seminal in the then-fledgling discipline of operational research."--Wikipedia |\| "The University of Notre Dame has started its new series of mathematical publications, the "Notre Dame Mathematical Lectures," by four lectures on modern theory of statistics, delivered by one of its most brilliant proponents, Dr. Abraham Wald. While wishing the new series the best of success one can somewhat regret that, probably, considerations of cost have prevented it from appearing in a printed form. The little book is lithoprinted and lithoprinted very well, with all the formulas perfectly legible. Still, in a printed form it would look much better. We may hope that in time a private benefactor or an institution will be found who could provide funds for giving good mathematical publications the external form that they deserve. As mentioned, Dr. Wald's booklet contains four lectures. However it is divided into six chapters, I. Introduction, II. The Neyman Pearson theory of testing of a statistical hypothesis, III. R. A. Fisher's theory of estimation, IV. The theory of confidence intervals, V. Asymptotically most powerful tests and asymptotically shortest confidence intervals, and VI. Outline of a general theory of statistical inference."--JERZY NEYMAN in a review in the AMS 1942.
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