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EF, Centralna ekonomska knjižnica, Ljubljana (CEKLJ)
  • Statistical analysis with missing data
    Little, Roderick J. A.
    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.
    Vrsta gradiva - knjiga ; neleposlovje za odrasle
    Izdaja - 3rd ed.
    Založništvo in izdelava - Hoboken (USA) : John Wiley & Sons, 2020
    Jezik - angleški
    ISBN - 978-0-470-52679-8
    COBISS.SI-ID - 36462429

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EF, Centralna ekonomska knjižnica, Ljubljana
prosto - na dom, čas izposoje: 1 mes.
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· Prosti p.
N1 LITTLE R. J. A. Statistical analysis
IN: 000252789 · Prosti p.
N1 LITTLE R. J. A. Statistical analysis
IN: 000252789 		prosto - na dom, čas izposoje: 1 mes.
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