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Fred W. Huffer
Researcher at Florida State University
Publications - 51
Citations - 1057
Fred W. Huffer is an academic researcher from Florida State University. The author has contributed to research in topics: Joint probability distribution & Scan statistic. The author has an hindex of 14, co-authored 50 publications receiving 962 citations. Previous affiliations of Fred W. Huffer include Florida State University College of Arts and Sciences.
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Journal ArticleDOI
Natural and Unnatural Oil Slicks in the Gulf of Mexico
Ian R. MacDonald,Oscar Garcia-Pineda,Andrew R. Beet,S. Daneshgar Asl,Lian Feng,George Graettinger,D. French‐McCay,Jamie Holmes,Chuanmin Hu,Fred W. Huffer,Ira Leifer,Frank E. Muller-Karger,Andrew R. Solow,M. Silva,Gregg A. Swayze +14 more
TL;DR: Deepwater Horizon discharge produced a surface‐oil footprint fundamentally different from background seepage, with an average ocean area of 11,200 km2 and a volume of 22,600 m3 (SD 5411), potentially altering its ecological impact.
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Weighted Least Squares Estimation for Aalen's Additive Risk Model
Fred W. Huffer,Ian W. McKeague +1 more
TL;DR: In this paper, a weighted least squares (WLS) estimator of the vector of cumulative hazard functions is derived and used to obtain confidence intervals and bands for the cumulative hazard function. And the method is applied to grouped data on the incidence of cancer mortality among Japanese atomic bomb survivors.
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Markov chain Monte Carlo for autologistic regression models with application to the distribution of plant species
Fred W. Huffer,Hulin Wu +1 more
TL;DR: In this paper, the authors explore using autologistic regression models for spatial binary data with covariates and find that the MCMC MLEs are approximately normally distributed and that MCMC estimates of Fisher information may be used to estimate the variance of MCMCMLEs and to construct confidence intervals.
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A test for elliptical symmetry
Fred W. Huffer,Cheolyong Park +1 more
TL;DR: In this paper, the authors presented a test statistic for testing the null hypothesis of elliptical symmetry under the multivariate normality hypothesis, and a bootstrapping procedure for approximating the null distribution of the test statistic under an arbitrary elliptically symmetric distribution.
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Inequalities for linear combinations of gamma random variables
TL;DR: In this paper, the behavior of the tail probabilities of weighted averages of certain independently and identically distributed random variables as the weights are varied was studied, and it was shown that the upper and lower tails are smallest when all weights are equal.