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Roderick J. A. Little | Akateeminen Kirjakauppa

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Statistical Analysis with Missing Data
Roderick J. A. Little; Donald B. Rubin
John Wiley & Sons Inc (2019)
Kovakantinen kirja
99,70
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Statistical Analysis with Missing Data
Roderick J. A. Little; Donald B. Rubin
Wiley-Blackwell (2019)
Muu digitaalinen tallenne
103,40
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ostoskoriin kpl
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Statistical Analysis with Missing Data
Roderick J. A. Little; Donald B. Rubin
John Wiley & Sons Inc (2002)
Kovakantinen kirja
144,00
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Seminal Ideas and Controversies in Statistics
Roderick J. A. Little
Taylor & Francis (2025)
Pehmeäkantinen kirja
72,90
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Seminal Ideas and Controversies in Statistics
Roderick J. A. Little
Taylor & Francis (2025)
Kovakantinen kirja
170,50
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Statistical Analysis with Missing Data
99,70 €
John Wiley & Sons Inc
Sivumäärä: 462 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2019, 24.05.2019 (lisätietoa)
Kieli: Englanti
An up-to-date, comprehensive treatment of a classic text on missing data in statistics

The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems.

Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics.


An updated “classic” written by renowned authorities on the subject
Features over 150 exercises (including many new ones)
Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods
Revises previous topics based on past student feedback and class experience
Contains an updated and expanded bibliography


The authors were awarded The Karl Pearson Prize in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work "has been no less than defining and transforming." (ISI)

Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.

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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 4-5 viikossa | Tilaa jouluksi viimeistään 27.11.2024
Myymäläsaatavuus
Helsinki
Tapiola
Turku
Tampere
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