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Some Aspects of the Sequential Design of Experiments
 Bulletin of the American Mathematical Society
"... to the design and analysis of sampling experiments in which the size and composition of the samples are completely determined before the experimentation begins. The reasons for this are partly historical, dating back to the time when the statistician was consulted, ..."
Abstract

Cited by 272 (0 self)
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to the design and analysis of sampling experiments in which the size and composition of the samples are completely determined before the experimentation begins. The reasons for this are partly historical, dating back to the time when the statistician was consulted,
On the Solution of Traveling Salesman Problems
 DOC. MATH. J. DMV
, 1998
"... Following the theoretical studies of J.B. Robinson and H.W. Kuhn in the late 1940s and the early 1950s, G.B. Dantzig, R. Fulkerson, and S.M. Johnson demonstrated in 1954 that large instances of the TSP could be solved by linear programming. Their approach remains the only known tool for solving TS ..."
Abstract

Cited by 164 (7 self)
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Following the theoretical studies of J.B. Robinson and H.W. Kuhn in the late 1940s and the early 1950s, G.B. Dantzig, R. Fulkerson, and S.M. Johnson demonstrated in 1954 that large instances of the TSP could be solved by linear programming. Their approach remains the only known tool for solving TSP instances with more than several hundred cities; over the years, it has evolved further through the work of M. Grötschel , S. Hong , M. Jünger , P. Miliotis , D. Naddef , M. Padberg
AN EMPIRICAL ASSESSMENT OF TWO COMPENSATION STRATEGIES FOR NONRESPONSE IN A PANEL SURVEY
, 1990
"... This is an empirical study of the effects of weighting adjustment and regression imputation to deal with nonresponse when estimating means, quantiles and variances of single variate X and of a functional X/yk, where X and Yare random variables and k is a constant. Of particular interest is the exte ..."
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This is an empirical study of the effects of weighting adjustment and regression imputation to deal with nonresponse when estimating means, quantiles and variances of single variate X and of a functional X/yk, where X and Yare random variables and k is a constant. Of particular interest is the extent by which the two procedures reduce nonresponse bias and control variance of the sample statistics. The empirical comparison invokes the assumptions and procedures within the designbased framework of estimating descriptive statistics for sample survey data obtained by stratified single stage unequalsized cluster sampling. A number of distributional assumptions are also made in the algebraic derivation of the effects of nonresponse on the mean of the functional X/yk. The jackknife procedure is used in producing the mean and variance estimates while the Wheeless/Shah (1988) method is used in estimating the quantiles and