Paper Info
Title
Fitting activity distributions using human partitioning and statistical calibration.
Abstract
•An extension to an existing calibration procedure for analysing empirical project data is presented.•A lognormal distribution fitting approach is presented that includes parkinson and rounding effects.•A managerial partitioning approach is proposed to increase the accuracy of lognormal distribution fitting.
Year
DOI
Venue
2019
10.1016/j.cie.2019.01.037
Computers & Industrial Engineering
Keywords
Field
DocType
Project management,Empirical data,Activity durations,Distribution fitting,Parkinson distribution,Lognormal distribution,Project partitioning,Managerial criteria,Risk profiles
Data mining,Mathematical optimization,Frequentist probability,Scheduling (computing),Simulation modeling,Probability distribution,Engineering,Calibration,Project management
Journal
Volume
ISSN
Citations 
129
0360-8352
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
M Vanhoucke191955.85
Jordy Batselier200.68