عنوان

Analysis of integrated data /

شابک

1315120410

شابک

1351637207

شابک

1351646729

شابک

1498727999

شابک

9781315120416

شابک

9781351637206

شابک

9781351646727

شابک

9781498727990

شابک اشتباه

1498727980

شابک اشتباه

9781498727983

عنوان اصلي

Analysis of integrated data /

نام عام مواد

[Book]

نام نخستين پديدآور

edited by Li-Chun Zhang, Raymond L. Chambers.

محل نشرو پخش و غیره

Boca Raton, Florida :

نام ناشر، پخش کننده و غيره

CRC Press,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Cover; Half Title; Series Page; Title Page; Copyright Page; Dedication; Contents; Preface; Contributors; 1. Introduction; 1.1 Why this book?; 1.2 The structure of this book; 1.3 Summary; References; 2. On secondary analysis of datasets that cannot be linked without errors; 2.1 Introduction; 2.1.1 Related work; 2.1.2 Outline of investigation; 2.2 The linkage data structure; 2.2.1 Definitions; 2.2.2 Agreement partition of match space; 2.3 On maximum likelihood estimation; 2.4 On analysis under the comparison data model; 2.4.1 Linear regression under the linkage model

متن يادداشت

2.4.2 Linear regression under the comparison data model2.4.3 Comparison data modelling (I); 2.4.4 Comparison data modelling (II); 2.5 On link subset analysis; 2.5.1 Non-informative balanced selection; 2.5.2 Illustration for the C-PR data; 2.6 Concluding remarks; Bibliography; 3. Capture-recapture methods in the presence of linkage errors; 3.1 Introduction; 3.2 The capture-recapture model: short formalization and notation; 3.3 The linkage models and the linkage errors; 3.3.1 The Fellegi and Sunter linkage model; 3.3.2 Definition and estimation of linkage errors

متن يادداشت

3.3.3 Bayesian approaches to record linkage3.4 The DSE in the presence of linkage errors; 3.4.1 The Ding and Fienberg estimator; 3.4.2 The modified Ding and Fienberg estimator; 3.4.3 Some remarks; 3.4.4 Examples; 3.5 Linkage-error adjustments in the case of multiple lists; 3.5.1 Log-linear model-based estimators; 3.5.2 An alternative modelling approach; 3.5.3 A Bayesian proposal; 3.5.4 Examples; 3.6 Concluding remarks; Bibliography; 4. An overview on uncertainty and estimation in statistical matching; 4.1 Introduction; 4.2 Statistical matching problem: notations and technicalities

متن يادداشت

4.3 The joint distribution of variables not jointly observed: estimation and uncertainty4.3.1 Matching error; 4.3.2 Bounding the matching error via measures of uncertainty; 4.4 Statistical matching for complex sample surveys; 4.4.1 Technical assumptions on the sample designs; 4.4.2 A proposal for choosing a matching distribution; 4.4.3 Reliability of the matching distribution; 4.4.4 Evaluation of the matching reliability as a hypothesis problem; 4.5 Conclusions and pending issues: relationship between the statistical matching problem and ecological inference; Bibliography

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can yield significant gains for scientific as well as commercial investigations. However, valid analysis of such data should allow for the additional uncertainty due to entity ambiguity, whenever it is not possible to state with certainty that the integrated source is the target population of interest. Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint statistical information is simulated using the information in marginal data from non-overlapping sources; and estimation of target population size when target units are either partially or erroneously covered in each source. Covers a range of topics under an overarching perspective of data integration. Focuses on statistical uncertainty and inference issues arising from entity ambiguity. Features state of the art methods for analysis of integrated data. Identifies the important themes that will define future research and teaching in the statistical analysis of integrated data. Analysis of Integrated Data is aimed primarily at researchers and methodologists interested in statistical methods for data from multiple sources, with a focus on data analysts in the social sciences, and in the public and private sectors.

منبع سفارش / آدرس اشتراک

Taylor & Francis

شماره انبار

9781315120416

عنوان

Analysis of integrated data.

شماره استاندارد بين المللي کتاب و موسيقي

9781498727983

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

Measurement uncertainty (Statistics)

موضوع مستند نشده

Multiple imputation (Statistics)

موضوع مستند نشده

Multivariate analysis.

موضوع مستند نشده

Mathematical statistics.

موضوع مستند نشده

MATHEMATICS-- Applied.

موضوع مستند نشده

MATHEMATICS-- Probability & Statistics-- General.

موضوع مستند نشده

Measurement uncertainty (Statistics)

موضوع مستند نشده

Multiple imputation (Statistics)

موضوع مستند نشده

Multivariate analysis.

موضوع مستند نشده

REFERENCE-- General.

موضوع مستند نشده

JMB

موضوع مستند نشده

MAT-- 003000

موضوع مستند نشده

MAT-- 029000

موضوع مستند نشده

REF-- 000000

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Chambers, Raymond L.,1950-

مستند نام اشخاص تاييد نشده

Zhang, Lichun

تاريخ عمليات

20200822170859.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y