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Full-Text Articles in Physical Sciences and Mathematics
A Comparison Of Some Confidence Intervals For Estimating The Kurtosis Parameter, Guensley Jerome
A Comparison Of Some Confidence Intervals For Estimating The Kurtosis Parameter, Guensley Jerome
FIU Electronic Theses and Dissertations
Several methods have been proposed to estimate the kurtosis of a distribution. The three common estimators are: g2, G2 and b2. This thesis addressed the performance of these estimators by comparing them under the same simulation environments and conditions. The performance of these estimators are compared through confidence intervals by determining the average width and probabilities of capturing the kurtosis parameter of a distribution. We considered and compared classical and non-parametric methods in constructing these intervals. Classical method assumes normality to construct the confidence intervals while the non-parametric methods rely on bootstrap techniques. The bootstrap …
On Some Test Statistics For Testing The Population Skewness And Kurtosis: An Empirical Study, Yawen Guo
On Some Test Statistics For Testing The Population Skewness And Kurtosis: An Empirical Study, Yawen Guo
FIU Electronic Theses and Dissertations
The purpose of this thesis is to propose some test statistics for testing the skewness and kurtosis parameters of a distribution, not limited to a normal distribution. Since a theoretical comparison is not possible, a simulation study has been conducted to compare the performance of the test statistics. We have compared both parametric methods (classical method with normality assumption) and non-parametric methods (bootstrap in Bias Corrected Standard Method, Efron’s Percentile Method, Hall’s Percentile Method and Bias Corrected Percentile Method). Our simulation results for testing the skewness parameter indicate that the power of the tests differs significantly across sample sizes, the …
Global Network Inference From Ego Network Samples: Testing A Simulation Approach, Jeffrey A. Smith
Global Network Inference From Ego Network Samples: Testing A Simulation Approach, Jeffrey A. Smith
Department of Sociology: Faculty Publications
Network sampling poses a radical idea: that it is possible to measure global network structure without the full population coverage assumed in most network studies. Network sampling is only useful, however, if a researcher can produce accurate global network estimates. This article explores the practicality of making network inference, focusing on the approach introduced in Smith (2012). The method uses sampled ego network data and simulation techniques to make inference about the global features of the true, unknown network. The validity check here includes more difficult scenarios than previous tests, including those that go beyond the initial scope conditions of …
Simulating Regional Interindustry Models For Western States, William A. Schaffer, Kong Chu
Simulating Regional Interindustry Models For Western States, William A. Schaffer, Kong Chu
Applications
Although regional input-output models are now most frequently constructed on the basis of reasonably adequate surveys, simulation (estimating) techniques not based on original survey data are still in use by many regional scientists for quick and less costly results. We will modify our original aggregation procedures, examine our results through several statistical tests of tables constructed for three Western states, and discuss a possible correction procedure for improving raw estimates of interindustry transactions.