EconPapers    
Economics at your fingertips  
 

Statistical analysis of semi-Markov processes based on the theory of counting processes

Niels Keiding
Additional contact information
Niels Keiding: University of Copenhagen, Statistical Research Unit

A chapter in Semi-Markov Models, 1986, pp 301-315 from Springer

Abstract: Abstract Many applications of stochastic process models in biostatistics involve several time-scales simultaneously.

Keywords: Sojourn Time; Counting Process; Censor Survival Data; Death Intensity; Multiplicative Intensity Model (search for similar items in EconPapers)
Date: 1986
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-1-4899-0574-1_16

Ordering information: This item can be ordered from
http://www.springer.com/9781489905741

DOI: 10.1007/978-1-4899-0574-1_16

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-12
Handle: RePEc:spr:sprchp:978-1-4899-0574-1_16