Missing Data and Small-Area Estimation

Missing Data and Small-Area Estimation
Author: Nicholas T. Longford
Publisher: Springer Science & Business Media
Total Pages: 384
Release: 2005-08-05
Genre: Mathematics
ISBN: 9781852337605

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This book evolved from lectures, courses and workshops on missing data and small-area estimation that I presented during my tenure as the ?rst C- pion Fellow (2000–2002). For the Fellowship I proposed these two topics as areas in which the academic statistics could contribute to the development of government statistics, in exchange for access to the operational details and background that would inform the direction and sharpen the focus of a- demic research. After a few years of involvement, I have come to realise that the separation of ‘academic’ and ‘industrial’ statistics is not well suited to either party, and their integration is the key to progress in both branches. Most of the work on this monograph was done while I was a visiting l- turer at Massey University, Palmerston North, New Zealand. The hospitality and stimulating academic environment of their Institute of Information S- ence and Technology is gratefully acknowledged. I could not name all those who commented on my lecture notes and on the presentations themselves; apart from them, I want to thank the organisers and silent attendees of all the events, and, with a modicum of reluctance, the ‘grey ?gures’ who kept inquiring whether I was any nearer the completion of whatever stage I had been foolish enough to attach a date.


Missing Data and Small-Area Estimation
Language: en
Pages: 384
Authors: Nicholas T. Longford
Categories: Mathematics
Type: BOOK - Published: 2005-08-05 - Publisher: Springer Science & Business Media

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This book evolved from lectures, courses and workshops on missing data and small-area estimation that I presented during my tenure as the ?rst C- pion Fellow (2
Introduction to Small Area Estimation Techniques
Language: en
Pages: 152
Authors: Asian Development Bank
Categories: Business & Economics
Type: BOOK - Published: 2020-05-01 - Publisher: Asian Development Bank

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This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estim
Missing Data and Small-area Estimation
Language: en
Pages: 357
Authors: Nicholas T. Longford
Categories: Estimation theory
Type: BOOK - Published: 2005 - Publisher:

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"A strength of the presentation is chapters of case studies, one for each problem. Whenever possible, turning to examples and illustrations is preferred to the
Multiple Imputation of Missing Data in Practice
Language: en
Pages: 419
Authors: Yulei He
Categories: Mathematics
Type: BOOK - Published: 2021-11-20 - Publisher: CRC Press

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Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach
Area-level Small Area Estimation with Missing Values
Language: en
Pages:
Authors: Jan Pablo Burgard
Categories:
Type: BOOK - Published: 2019 - Publisher:

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Model-based small area predictors are derived under the assumption that data files are complete. In application to real data, files may contain missing values.