1957
RAND Corporation
“A discussion of asymptotic distribution. (Published in The Annals of Mathematical Statistics, Mar. 1958.)”
Resources Filter: By Andy Marshall
An Introductory Note for the Proceedings of the Gainsville, Florida, Symposium on Monte Carlo Methods
1955
RAND Corporation
“A discussion of (1) the progress of Monte Carlo techniques from 1949 to the present and (2) the papers presented before the Symposium on Monte Carlo Methods at Gainesvill, Florida, March 16-17, 1954. Monte Carlo is defined as a random sampling procedure for treating mathematical problems of either deterministic or probabilistic type.”
A Note on Randomized Branch Sampling
1955
RAND Corporation
“A discussion of the operation of randomized branch sampling, the relation between this sampling plan and importance sampling developed in Monte Carlo calculations, and some improvements to Jessen’s theory based on the identity of these methods.”
An Application of Markov Processes to the Study of the Epidemiology of Mental Disease
1954
RAND Corporation
“A presentation of several methods (developed in studies of mental disease) for determining certain epidemiological parameters that are not directly observable or that can be secured only by expensive and time-consuming field surveys. The simple models of the process involved in the passage from sanity to insanity, hospitalization and death provide some picture of the underlying process that generates a given incidence rate.”
The Use of Multistage Sampling Schemes in Monte Carlo Computations
1954
RAND Corporation
“A review of importance sampling, a technique whereby Monte Carlo computations are made more efficient — provided the probability distribution, from which the sample observations are drawn, is judiciously chosen. (Published in H. A. Meyer (ed.), Symposium on Monte Carlo Methods, John Wiley & Sons, Inc., New York, 1956.)”
Methods of Reducing Sample Size in Monte Carlo Computations
1953
RAND Corporation
“This paper formulates the general problem of Monte Carlo computations within the framework of mathematical statistics and indicates briefly its relation to the theory of estimation and the design of experiments. (Published in the Journal of the Operations Research Society of America, Nov. 1953.)”
Comments on H. J. Barnett’s “Specific Industry Output Projections”
1951
RAND Corporation
“A discussion of the appropriateness of comparisons presented in P-208, “Specific Industry Output Projections”, for decisions as to the acceptance or rejection of proposed forecasting methods. An alternative method of measuring the forecasting errors is suggested.”
A Large-Sample Test of the Hypothesis that One of Two Random Variables Is Stochastically Larger than the Other
1951
RAND Corporation
“A presentation of a large-sample nonparametric test using grouped data. (Published in the Journal of the American Statistical Association, Sept. 1951.)”