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Titlebook: Ordered Data Analysis, Modeling and Health Research Methods; In Honor of H. N. Na Pankaj Choudhary,Chaitra H. Nagaraja,Hon Keung Ton Confer

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楼主: Halcyon
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Approximate Bayesian Estimation for Multivariate Count Time Series Models-specific and time-dependent covariates. We propose a level correlated model (LCM) to account for the association among the components of the response vector, as well as possible overdispersion. The flexible LCM framework allows us to combine different marginal count distributions and to build a hie
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Inference for a Poisson-Inverse Gaussian Model with an Application to Multiple Sclerosis Clinical Trs (RRMS) clinical trials. These data generally tend to be overdispersed with respect to a Poisson distribution. It has been shown that the Poisson-Inverse Gaussian (P-IG) distribution fits better than the negative binomial to MRI data in RRMS patients that have been selected for lesion activity duri
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Purely Sequential and Two-Stage Bounded-Length Confidence Intervals for the Bernoulli Parameter withmans, animals, plant populations, and other natural resources. It is well known, for example, that estimation of (i) the probability of presence of infestation, (ii) the chance of getting a disease, and (iii) the chance of a relapse are very important in entomology and health studies. They frequentl
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A Population Based Confidence Set Inference Method for SNPs that Regulate Quantitative Phenotypesds that can be used in preliminary analyses to limit the number of SNPs investigated in follow-up studies. I introduce a Confidence Set Inference method for independent individuals that can be used as a first step in association studies to derive a set of SNPs that contribute at least a specific per
发表于 2025-3-26 00:09:38 | 显示全部楼层
Statistical Inference on Three-Dimensional Structure of Genome by Truncated Poisson Architecture Modduced a massive amount of data and led to a greater understanding of long-range, or spatial, gene regulation mechanisms. Hence, the traditional one-dimensional linear view of a genome, which is especially prevalent in statistical and mathematical modeling, is inadequate in many genomic studies. Inst
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978-3-319-79788-5Springer International Publishing Switzerland 2015
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Bias of the Sample Lorenz Curveively biased estimate of the population Lorenz curve. In this paper, several sufficient conditions for such positive bias are investigated. An example shows that negative bias is not impossible, though apparently not common.
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