Nonparametric and parametric estimation for a linear germination-growth model

Biometrics

Volumn 56, Issue 3, 2000, Pages 755-760

  Chiu, S N ^a   Quine, M P ^b   Stewart, M ^b  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Boolean model; DNA replication; Germination growth process; Inhibition; Maximum likelihood estimation; Nucleation; Synaptic transmission

Indexed keywords

CULTIVATION; LOCATION; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION;

BOOLEAN MODELING; DNA REPLICATIONS; GERMINATION TIME; GERMINATION-GROWTH PROCESS; GROWTH MODELS; GROWTH PROCESS; INHIBITION; MAXIMUM-LIKELIHOOD ESTIMATION; NONPARAMETRIC AND PARAMETRIC ESTIMATIONS; SYNAPTIC TRANSMISSION;

GERMINATION;

ESTIMATION METHOD; GERMINATION; GROWTH MODELING; STATISTICAL ANALYSIS;

ARTICLE; DNA REPLICATION; GERMINATION; INFORMATION SCIENCE; MATHEMATICAL ANALYSIS; MAXIMUM LIKELIHOOD METHOD; NONHUMAN; PLANT GROWTH; STATISTICS; SYNAPTIC TRANSMISSION;

EID: 0033857558     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.00755.x     Document Type: Article

References (17)

1. Probabilistic secretion of quanta from nerve terminals at synaptic sites on muscle cells: Nonuniformity, autoinhibition and the binomial hypothesis
2. Limit theorem for the time of completion of Johnson-Mehl tessellations
3. A central limit theorem for linear Kolmogorov's birth-growth models
4. Central limit theory for the number of seeds in a growth model in R(d) with inhomogeneous Poisson arrivals
5. A limit theorem for the replication time of a DNA molecule
6. A general stochastic model for nucleation and linear growth
7. On statistical theory of metal crystallisation
8. Statistics of the Boolean model: From the estimation of means to the estimation of distributions
9. Smoothing techniques and estimation methods for nonstationary Boolean models with applications to coverage processes
10. Asymptotic properties of estimators for parameters of the Boolean model
11. Estimation for a linear growth model
12. Some properties of stationary flows of homogeneous random events
13. Probabilistic secretion of quanta at somatic motor-nerve terminals: The fusion pore model, quantal detection and autoinhibition
14. A probabilistic model for the time to unravel a strand of DNA