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A Bayesian Analysis of Body Mass Index Data From Small Domains Under Nonignorable Nonresponse and Selection

不可忽略无应答与抽样选择下小域 BMI 数据的贝叶斯分析

Here we analyze body mass index (BMI) data for children and adolescents from the Third National Health and Nutrition Examination Survey (NHANES III). Because of the lack of BMI values for a considerable number of the children and adolescents, and the differential probabilities of selection of these individuals, serious nonresponse and selection bias in inference can be present. To analyze the NHANES III BMI data, a nonignorable nonresponse model has been proposed to estimate…

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Hierarchical Bayesian Nonresponse Models for Binary Data From Small Areas With Uncertainty About Ignorability

可忽略性不确定下的小区域二元数据分层贝叶斯无响应模型

In the National Crime Survey (NCS), data on victimization can be poststratified into domains determined by urbanization, type of place, and poverty level. There is much difficulty in the analysis of binary data with substantial nonresponse. We consider three Bayesian hierarchical models for binary nonresponse data, like those from the NCS, which are clustered within a number of domains or areas. As in small area estimation, one key feature is that each model “borrows…

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Bayesian Analysis and Mapping of Mortality Rates for Chronic Obstructive Pulmonary Disease

慢性阻塞性肺疾病死亡率的贝叶斯分析与制图

This article summarizes our research on estimation of age-specific and age-adjusted mortality rates for chronic obstructive pulmonary disease (COPD) for white males. Our objectives are more precise and informative displays (than previously available) of geographic variation of the age-specific mortality rates for COPD, and investigation of the relationships between the geographic variation in mortality rates and the corresponding variation in selected covariates. For a given…

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A Bayesian Analysis of Autoregressive Time Series Panel Data

自回归时间序列面板数据的贝叶斯分析

The authors describe a Bayesian hierarchical model to analyze autoregressive time series panel data. They develop two algorithms using Markov-chain Monte Carlo methods, a restricted algorithm that enforces stationarity or nonstationarity conditions on the series, and an unrestricted algorithm that does not. Two examples show that restricting stationary series to be stationary provides no new information but restricting nonstationary series to be stationary leads to…

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Order-Restricted Bayesian Estimation of the Age Composition of a Population of Atlantic Cod

大西洋鳕鱼种群年龄构成的序约束贝叶斯估计

The management of a commercial fishery often requires estimates of the age composition. These estimates are typically based on age and length data obtained from sampling the commercial landings from the fishery and the catches from a research vessel survey. We use data from annual research cruises of Georges Bank conducted by the Canadian Department of Fisheries and Oceans to show how inferences for Atlantic cod (Gadus morhua) can be improved. Traditionally, two-phase…

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Order-Restricted Bayesian Estimation of the Age Composition of a Population of Atlantic Cod

大西洋鳕鱼种群年龄组成的序约束贝叶斯估计

The management of a commercial fishery often requires estimates of the age composition. These estimates are typically based on age and length data obtained from sampling the commercial landings from the fishery and the catches from a research vessel survey. We use data from annual research cruises of Georges Bank conducted by the Canadian Department of Fisheries and Oceans to show how inferences for Atlantic cod (Gadus morhua) can be improved. Traditionally, two-phase…

AI 解读阅读原文 ↗BibTeX ↓