Block bootstrap methods for the estimation of the intensity of a spatial point process with confidence bounds
Journal article, 2013
dependent data
computer-intensive methods
statistical-analysis
pathology
Bootstrap
variance
intensity
capillaries
dependent data
sections
patterns
point process
sample reuse methods
Author
T. Mattfeldt
University of Ulm
Henrike Häbel
Chalmers, Mathematical Sciences, Mathematical Statistics
University of Gothenburg
SuMo Biomaterials
F. Fleischer
Boehringer Ingelheim
Journal of Microscopy
0022-2720 (ISSN) 1365-2818 (eISSN)
Vol. 251 1 84-98Subject Categories
Other Engineering and Technologies
Cell and Molecular Biology
Probability Theory and Statistics
Areas of Advance
Life Science Engineering (2010-2018)
DOI
10.1111/jmi.12048