Zobrazeno 1 - 10
of 378
pro vyhledávání: '"Stefan Sperlich"'
Publikováno v:
Stats, Vol 7, Iss 1, Pp 333-349 (2024)
Direct, indirect and synthetic estimators have a long history in official statistics. While model-based or model-assisted approaches have become very popular, direct and indirect estimators remain the predominant standard and are therefore important
Externí odkaz:
https://doaj.org/article/22deae11919440b8b40adf7c337c9ca9
Autor:
Speckman, Paul
Publikováno v:
Journal of the American Statistical Association, 2006 Sep 01. 101(475), 1308-1309.
Externí odkaz:
https://www.jstor.org/stable/27590805
Autor:
Lordo, Robert
Publikováno v:
Technometrics, 2005 May 01. 47(2), 234-235.
Externí odkaz:
https://www.jstor.org/stable/25470990
Autor:
Speckman, Paul
Publikováno v:
Journal of the American Statistical Association. 101:1308-1309
Autor:
José Ramón Uriarte, Stefan Sperlich
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252453 (2021)
Natural languages with their speech communities tend to compete for speakers, very much like firms compete for market shares. As a result, some languages suffer a shifting pressure which might lead them to their extinction. This work studies the dyna
Externí odkaz:
https://doaj.org/article/66d70d45d783497a9b20e8132f0934b8
Publikováno v:
Journal of the American Statistical Association. :1-12
In spite of its high practical relevance, cluster specific multiple inference for linear mixed model predictors has hardly been addressed so far. While marginal inference for population parameters is well understood, conditional inference for the clu
Publikováno v:
Swiss Journal of Economics and Statistics, Vol 152, Iss 1, Pp 49-80 (2016)
Summary We present an integration based procedure for predicting the distribution f of an indicator of interest in situations where, in addition to the sample data, one has access to covariates that are available for the entire population. The propos
Externí odkaz:
https://doaj.org/article/9b80b1f0c66b4b378ad4d976517cddff
Autor:
Sunil Kanwar, Stefan Sperlich
Publikováno v:
Journal of International Development.
Publikováno v:
Risks, Vol 8, Iss 2, p 32 (2020)
This note revisits the ideas of the so-called semiparametric methods that we consider to be very useful when applying machine learning in insurance. To this aim, we first recall the main essence of semiparametrics like the mixing of global and local
Externí odkaz:
https://doaj.org/article/68ddd929db6945088426e8fd3c4cf127
Publikováno v:
Robust and Multivariate Statistical Methods ISBN: 9783031226861
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0244d6b91a2e682e3ead2467a6779351
https://doi.org/10.1007/978-3-031-22687-8_17
https://doi.org/10.1007/978-3-031-22687-8_17