In this paper we examine the behaviour of a stochastic model that describes a technological diffusion process (continuously increasing process). Furthermore we obtain a solution for the proposed model through the estimation of the volatility using three different approximations. The adjustment of re
The estimation of parameters for a commonly used stochastic model
β Scribed by A. L. Sweet; J. L. Bogdanoff
- Publisher
- American Institute of Chemical Engineers
- Year
- 1969
- Tongue
- English
- Weight
- 523 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0001-1541
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Parameters in the lumped sedimentation formula rating curve __Q__~s~ = __KQ__^__P__^ are discussed to estimate sedimentation in a basin without calibration in that basin. We were unable to determine the physical meaning of the parameters that are widely used by many researchers. A physi
## Abstract The parameters of a constitutive model are usually identified by minimization of the distance between model response and experimental data. However, measurement failures and differences in the specimens lead to deviations in the determined parameters. In this article we present our resu
Time-kill curves have frequently been employed to study the antimicrobial effects of antibiotics. The relevance of pharmacodynamic modeling to these investigations has been emphasized in many studies of bactericidal kinetics. Stochastic models are needed that take into account the randomness of the
Attempt hee been made in thie paper to estimate certain parametera (data perteining to which am either not available or essily reportable) of the human reproductive p r o m aa the period of p tpartum ammenorrhoee (P.P.A.), number of foetal wastages in between live births eta., wing a truncated negat