Podrobnosti o izdelku
Poglej vseISBN
9781420074024Mladinska knjiga ID
442274Leto izida
2010Velikost (šxdxv)
150 × 200 × 10Status dobavljivosti
Na zalogi pri dobaviteljuJezik
ANGTeža
300 gZaložnik
CHAPMAN & HALLAvtor
LANG WUOpis
Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data.
An overview of general models and methods, along with motivating examples
After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values, measurement errors, censoring, and outliers.
Self-contained coverage of specific topics
Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models.
Background material
In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra.
Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead to severely biased or misleading results. This book explores the biases that arise when naive methods are used and shows which approaches should be used to achieve accurate results in longitudinal data analysis.
Pogosto kupljeno skupaj
Mladinska knjiga, Emka.si
www.emka.si
Trda
Ostali so si ogledali tudi ...
Najbolj prodajano v tem trenutku!
Najbolj prodajane, brane in aktualne knjige ta trenutek, slovenske in angleške: romani, priročniki, vodniki, potopisi, poezija, slikanice, pravljice, kartonke, uganke, stripi, otroške knjige … Novosti in uspešnice na enem mestu. V spletni knjigarni www.emka.si!
Vezava: Trda
Vezava: Broširana z zavihki
Več kot pol milijona knjig
Največja ponudba slovenskih in tujih knjig na enem mestu.
Enostaven nakup
Do izbranega le z nekaj kliki na spletu ali v eni od več kot 50 knjigarn.
Strokoven nasvet
Pred nakupom nas pokličite za nasvet ali se oglasite v knjigarni.
Vse za šolo
Nagrajena izobraževalna gradiva in kakovostne potrebščine.
Celovita ponudba za dom in pisarno
Vrhunski izdelki priznanih blagovnih znamk.
Brezplačna dostava
Brezplačna dostava za vsa naročila nad 59 € (za šolske pakete nad 140 €)
Naslov
Slovenska cesta 29, 1000 Ljubljana
E-naslovSpletna knjigarna: info@emka.si, Mladinska knjiga Založba: info@mladinska-knjiga.si
Kontakt01 241 30 00
Brezplačna številka080 12 05
- Ko izberete elemente, se celotna stran osveži.
- Odpre se v novem oknu.