Similar Search Results

A Simple Estimator of Two‐Dimensional Copulas, with Applications1

Anderson, Eddie; Prokhorov, Artem; Zhu, Yajing - In: Oxford Bulletin of Economics and Statistics 82 (2020) 6, pp. 1375-1412

Persistent link: https://www.econbiz.de/10012283287

Generalized information matrix tests for copulas

Prokhorov, Artem; Schepsmeier, Ulf; Zhu, Yajing - In: Econometric reviews 38 (2019) 9, pp. 1024-1054

Persistent link: https://www.econbiz.de/10012181382

Latent variable modelling with non‐ignorable item non‐response : multigroup response propensity models for cross‐national analysis

Kuha, Jouni; Katsikatsou, Myrsini; Moustaki, Irini - In: Journal of the Royal Statistical Society: Series A … 181 (2018) 4, pp. 1169-1192

Persistent link: https://www.econbiz.de/10012097117

Preface to the themed issue on social statistics

Kuha, Jouni; Moustaki, Irini - In: Journal of the Royal Statistical Society Series C 63 (2014) 2, pp. 191-193

Persistent link: https://www.econbiz.de/10010889661

A Composite Likelihood Inference in Latent Variable Models for Ordinal Longitudinal Responses

Vasdekis, Vassilis; Cagnone, Silvia; Moustaki, Irini - In: Psychometrika 77 (2012) 3, pp. 425-441

Persistent link: https://www.econbiz.de/10010848155

Latent variable models that account for atypical responses

Moustaki, Irini; Knott, Martin - In: Journal of the Royal Statistical Society Series C 63 (2014) 2, pp. 343-360

type="main" xml:id="rssc12032-abs-0001" <title type="main">Summary</title> <p>Responses to a set of indicators, or items, or variables are often used in social sciences for measuring unobserved constructs as attitudes. Latent variable models, which are also known as factor analysis models, are used for linking the observed...</p>

Persistent link: https://www.econbiz.de/10011033962