Semiparametric Theory and Missing Data
Missing data arise in almost all scientific disciplines. In many cases, the treatment of missing data in an analysis is carried out in a casual and ad-hoc manner, leading, in many cases, to invalid inference and erroneous conclusions. In the past 20 years or so, there has been a serious attempt to u...
Κύριος συγγραφέας: | Tsiatis, Anastasios A. (Συγγραφέας) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2006.
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Σειρά: | Springer Series in Statistics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Semiparametric Theory and Missing Data
ανά: Tsiatis, Anastasios A.
Έκδοση: (2006) -
Missing Data and Small-Area Estimation Modern Analytical Equipment for the Survey Statistician /
ανά: Longford, Nicholas T.
Έκδοση: (2005) -
The Art of Semiparametrics
Έκδοση: (2006) -
Handling Missing Data in Ranked Set Sampling
ανά: Bouza-Herrera, Carlos N.
Έκδοση: (2013) -
Semiparametric Regression with R
ανά: Harezlak, Jaroslaw, κ.ά.
Έκδοση: (2018)