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Ogden, Philip M. – 1973
A computer program to perform a Monte Carlo simulation of counting experiments was written. The program was based on a mathematical derivation which started with counts in a time interval. The time interval was subdivided to form a binomial distribution with no two counts in the same subinterval. Then the number of subintervals was extended to…
Descriptors: Computation, Computer Programs, Computer Science, Experiments
Peer reviewedMurch, G. E. – American Journal of Physics, 1979
A simple Monte Carlo method is used to simulate an atomistic model of solid-state diffusion. This approach illustrates some of the principles of diffusion and in particular verifies a solution to Fick's second law. The role and calculation of the diffusion correlation factor is also discussed. (Author/BB)
Descriptors: Chemistry, Kinetic Molecular Theory, Kinetics, Mathematical Models
Peer reviewedHakstian, A. Ralph; And Others – Psychometrika, 1988
A model and computation procedure based on classical test score theory are presented for determination of a correlation coefficient corrected for attenuation due to unreliability. Delta and Monte Carlo method applications are discussed. A power analysis revealed no serious loss in efficiency resulting from correction for attentuation. (TJH)
Descriptors: Correlation, Equations (Mathematics), Hypothesis Testing, Mathematical Models
Correcting for Systematic Bias in Sample Estimates of Population Variances: Why Do We Divide by n-1?
PDF pending restorationMittag, Kathleen Cage – 1992
An important topic presented in introductory statistics courses is the estimation of population parameters using samples. Students learn that when estimating population variances using sample data, we always get an underestimate of the population variance if we divide by n rather than n-1. One implication of this correction is that the degree of…
Descriptors: College Mathematics, Computer Software, Equations (Mathematics), Estimation (Mathematics)


