A family of repeated measurements models
J. K. Lindsey ()
Additional contact information
J. K. Lindsey: Biostatistics, Limburgs Universitair Centrum
Statistical Methods & Applications, 2001, vol. 10, issue 1, No 2, 3-9
Abstract:
Abstract A general family of multivariate distributions for repeated measures can be obtained by applying the Laplace transform of a gamma distribution to the integrated intensity function of any continuous distribution on the positive real line. Both clustering and serial dependence can be handled. The response variable may be counts, durations between events, or any continuous positive-valued measurements.
Keywords: Clustering; counts; event history; gamma distribution; integrated intensity; Kalman filter; Laplace transform; longitudinal study; negative binomial process; Pareto distribution; random effects; serial dependence (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/BF02511635 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:stmapp:v:10:y:2001:i:1:d:10.1007_bf02511635
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2
DOI: 10.1007/BF02511635
Access Statistics for this article
Statistical Methods & Applications is currently edited by Tommaso Proietti
More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().