1,724,934 research outputs found
John Dunne and Li-Chun Zhang's reply to the Discussion of 'A system of population estimates compiled from administrative data only'
No full textWe are grateful to all those who submitted comments on the paper. Their comments give us an
opportunity to revisit some of the key points in our paper, as well as to elaborate on some important issues which we could not cover in sufficient detail in the paper</p
A general route to large-sized cyclophanes.
Full text linkLi Chun Sing.Thesis (M.Phil.)--Chinese University of Hong Kong, 1980
Controllability, observability and duality in linear systems with multiple norm-bounded controllers.
Full text linkLi Chun Wah.Thesis (M.Phil.)--Chinese University of Hong Kong.Bibliography: leaves 65-66
Sylvia Li-chun Lin, Representing Atrocity in Taiwan the 2/ 28 Incident and White Terror in Fiction and Film, 2007
No full textMarchand Sandrine. Sylvia Li-chun Lin, Representing Atrocity in Taiwan the 2/ 28 Incident and White Terror in Fiction and Film, 2007. In: Études chinoises, n°27, 2008. pp. 298-300
Sylvia Li-chun Lin, Representing Atrocity in Taiwan the 2/ 28 Incident and White Terror in Fiction and Film, 2007
No full textMarchand Sandrine. Sylvia Li-chun Lin, Representing Atrocity in Taiwan the 2/ 28 Incident and White Terror in Fiction and Film, 2007. In: Études chinoises, n°27, 2008. pp. 298-300
Topics of statistical theory for register-based statistics and data integration
No full textOfficial statistics production based on a combination of data sources, including sample survey, census and administrative registers, is becoming more and more common. Reduction of response burden, gains of production cost efficiency as well as potentials for detailed spatial-demographic and longitudinal statistics are some of the major advantages associated with the use of integrated statistical data. Data integration has always been an essential feature associated with the use of administrative register data. But survey and census data should also be integrated, so as to widen their scope and improve the quality. There are many new and difficult challenges here that are beyond the traditional topics of survey sampling and data integration. In this article we consider statistical theory for data integration on a conceptual level. In particular, we present a two-phase life-cycle model for integrated statistical microdata, which provides a framework for the various potential error sources, and outline some concepts and topics for quality assessment beyond the ideal of error-free data. A shared understanding of these issues will hopefully help us to collocate and coordinate efforts in future research and development
On proxy variables and categorical data fusion
No full textThe problem of inference about the joint distribution of two categorical variables based on knowledge or observations of their marginal distributions, to be referred to as categorical data fusion in this paper, is relevant in statistical matching, ecological inference, market research, and several other related fields. This article organizes the use of proxy variables, to be distinguished from other auxiliary variables, both in terms of their effects on the uncertainty of fusion and the techniques of fusion. A measure of the gains of efficiency is provided, which incorporates both the identification uncertainty associated with data fusion and the sampling uncertainty that arises when the theoretical bounds of the uncertainty space are unknown and need to be estimated. Several existing techniques for generating fusion distributions (or datasets) are described and some new ones proposed. Analysis of real-life data demonstrates empirically that proxy variables can make data fusion more precise and the constructed fusion distribution more plausible
On valid descriptive inference from non-probability sample
No full textWe examine the conditions under which descriptive inference can be based directly on the observed distribution in a non-probability sample, under both the super-population and quasi- randomisation modelling approaches. Review of existing estimation methods reveals that the traditional formulation of these conditions may be inadequate due to potential issues of under- coverage or heterogeneous mean beyond the assumed model. We formulate unifying conditions that are applicable to both types of modelling approaches. The difficulties of empirically validating the required conditions are discussed, as well as valid inference approaches using supplementary probability sampling. The key message is that probability sampling may still be necessary in some situations, in order to ensure the validity of descriptive inference, but it can be much less resource-demanding given the presence of a big non-probability sample
On modelling register coverage errors
No full textRegister data that originate from administrative or other secondary sources are increasingly being used to generate statistical outputs directly. The coverage of the input datasets is an important issue in this respect. Traditionally capture-recapture models have been used to deal with multiple list enumerations subjected to undercoverage errors. The aim of this article is to scope possible approaches to modelling capture-recapture data with additional overcoverage error. Attention is primarily given to model interpretations and conditions under which a model may provide a plausible basis for estimation and uncertainty evaluation. The setting with two list enumerations is examined in depth as it is the most common in practice. Models that can be extended to include more than two lists are identified. An additional independent coverage survey with only undercoverage error is always needed for estimation. Potential application to census coverage-error adjustment is discussed
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