Kenneth Lange,Eric C Chi,Hua Zhou
Kenneth Lange
Modern computational statistics is turning more and more to high-dimensional optimization to handle the deluge of big data. Once a model is formulated, its parameters can be estimated by optimization. Because model parsimony is important, m...
Connections between survey calibration estimators and semiparametric models for incomplete data [0.03%]
调查校准估计量与缺失数据的半参数模型之间的联系
Thomas Lumley,Pamela A Shaw,James Y Dai
Thomas Lumley
Survey calibration (or generalized raking) estimators are a standard approach to the use of auxiliary information in survey sampling, improving on the simple Horvitz-Thompson estimator. In this paper we relate the survey calibration estimat...
Yanyuan Ma,Liping Zhu
Yanyuan Ma
Summarizing the effect of many covariates through a few linear combinations is an effective way of reducing covariate dimension and is the backbone of (sufficient) dimension reduction. Because the replacement of high-dimensional covariates ...
Discussion of "Connections Between Survey Calibration Estimators and Semiparametric Models for Incomplete Data" by T. Lumley, P.A. Shaw & J.Y. Dai [0.03%]
关于Lumley、Shaw和Dai有关调查校准估计与缺失数据的半参数模型之间联系的讨论论文
Anastasios A Tsiatis,Marie Davidian
Anastasios A Tsiatis
Rebecca R Andridge,Roderick J A Little
Rebecca R Andridge
Hot deck imputation is a method for handling missing data in which each missing value is replaced with an observed response from a "similar" unit. Despite being used extensively in practice, the theory is not as well developed as that of ot...
Zhiwei Zhang
Zhiwei Zhang
According to the law of likelihood, statistical evidence is represented by likelihood functions and its strength measured by likelihood ratios. This point of view has led to a likelihood paradigm for interpreting statistical evidence, which...
C Li
C Li
The author reports on experiences with China's 1982 census, which covered approximately one billion people and 19 census items. It is noted that "the postenumeration sample survey indicates that the quality of the census enumeration is: 0.0...
R J Casady,G Nathan,M G Sirken
R J Casady
"When there are two or more data systems and none of them enumerates the population at an acceptable completeness level, concern about the bias due to underenumeration suggests an estimator which makes joint use of data compiled by the comb...
Some sources of nonsampling errors in African census and survey work: a review [0.03%]
非洲人口普查和调查工作中非抽样误差的一些来源：一次回顾性研究
B Kiregyera
B Kiregyera
"The paper is a review of some of the more common sources of nonsampling errors in African census and survey work illustrated by some country experiences. [The author suggests] that development and sustainment of an ongoing Integrated Syste...
V Verma,T Le
V Verma
"Sampling errors and design effects from 48 nationally representative surveys conducted under the Demographic and Health Surveys Program for a large number of variables concerning fertility, family planning, fertility intentions, child heal...