Missing Data and Small-Area Estimation (eBook)

Modern Analytical Equipment for the Survey Statistician
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2005 | 2005
XVI, 360 Seiten
Springer London (Verlag)
978-1-84628-195-2 (ISBN)

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Missing Data and Small-Area Estimation - Nicholas T. Longford
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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.
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.

Prologue .- Describing Incompleteness .- Single Imputation and Related Methods .- Multiple Imputation .- Case Studies .- Introduction .- Models for Small Areas .- Using Auxiliary Information .- Using Small-Area Estimators .- Case Studies .- Model Selection.

Erscheint lt. Verlag 24.11.2005
Reihe/Serie Statistics for Social and Behavioral Sciences
Statistics for Social and Behavioral Sciences
Zusatzinfo XVI, 360 p. 45 illus.
Verlagsort London
Sprache englisch
Themenwelt Geisteswissenschaften Psychologie Test in der Psychologie
Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
Sozialwissenschaften Soziologie Empirische Sozialforschung
Technik
Schlagworte Estimator • Excel • Model • Social Statistics • Statistics • Survey Statistics
ISBN-10 1-84628-195-4 / 1846281954
ISBN-13 978-1-84628-195-2 / 9781846281952
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