Results 81 to 90 of about 122,676 (186)

Expected Duration of Dynamic Markov PERT Networks

International Journal of Industrial Engineering and Production Research, 2007
: In this paper , we apply the stochastic dynamic programming to approximate the mean project completion time in dynamic Markov PERT networks. It is assumed that the activity durations are independent random variables with exponential distributions, but ...
A. Azaron, S.M. Fatemi Ghomi
doaj  

Evaluating Semi-Markov Processes and Other Epidemiological Time-to-Event Models by Computing Disease Sojourn Density as Partial Differential Equations. [PDF]

Med Decis Making
Worthington J, Feletto E, He E, Wade S, de Graaff B, Nguyen ALT, George J, Canfell K, Caruana M.   +8 more
europepmc   +1 more source

Finite-Time Dissipative Fault Estimate and Event-Triggered Fault-Tolerant Synchronization Control for Discrete Semi-Markov Jumping Neural Networks. [PDF]

Entropy (Basel)
Zhu X, Wang Y, Chen Y.
europepmc   +1 more source

Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams. [PDF]

Biostatistics
Morsomme R, Liang CJ, Mateja A, Follmann DA, O'Brien MP, Wang C, Fintzi J.   +6 more
europepmc   +1 more source

Fluctuation Relations Associated to an Arbitrary Bijection in Path Space. [PDF]

Math Phys Anal Geom
Chétrite R, Marcantoni S.
europepmc   +1 more source

Markov processes associated with semi-Dirichlet forms [PDF]

, 1995
MA, ZHI-MING, OVERBECK, LUDGER, ROCKNER, MICHAEL   +2 more
core   +2 more sources

Mathematical Modeling of Amoxicillin Synthesis in Batch and Semi-Batch Reactor: Application of Bayesian Statistics and Genetic Algorithm. [PDF]

Biotechnol Bioeng
Formigosa LF, Dos Santos IC, Alves E Álvares LE, Macêdo EN, Gonçalves LRB, Viegas BM.   +5 more
europepmc   +1 more source

Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. [PDF]

PLoS One
Raherinirina A, Tsilefa ST, Nirilanto T, Manou-Abi SM.   +3 more
europepmc   +1 more source

Mapping coastal transformations with a novel Cellular Automata-Markov-Random forest framework for land use change modeling. [PDF]

Sci Rep
Nikoo MR, Zarei E, Al-Wardy M.
europepmc   +1 more source

Para-Markov chains and related non-local equations. [PDF]

Fract Calc Appl Anal
Facciaroni L, Ricciuti C, Scalas E, Toaldo B.   +3 more
europepmc   +1 more source