Index

A

availability

B

B-G-W model

in random environment

non-homogenous (in varying environment)

with r types of objects

positive regular

singular

with controlled multiplication

with immigration

with spatial spread

Bellman-Harris model

birth and death process

linear

Blackwell’s renewal theorem

Borel-Cantelli Lemma

branching

Markov process

process

branching model

age-dependent

general

size-dependent

C

central limit theorem

Chapman-Kolmogorov equation

communication channel model

convergence

almost sure

in distribution

in mean

in probability

of martingales

convolution

counter model

Crump-Mode-Jagers-Ryan model

D

directly Riemann integrable function

discrete-time Ehrenfest model

history

macroscopic

microscopic

E

elementary renewal theorem

extinction

probability

time

F

Feller-Arley process

G

genealogy models

H

haploid models

hitting time

I-K

key renewal theorem

Kolmogorov equation

backward

forward

L

law

of heredity

of large numbers

Levy process

Lloyd model

M

maintainability

Markov

chain

embedded

ergodic

stationary (invariant)

stationary (invariant) distribution

model

for storage

in genetics

in reliability

process

stationary (invariant) distribution

property

strong

renewal

equation

function

renewal process

martingale

square integrable

model

with several genotypes and mutations

with several genotypes and without mutations

with two genotypes and mutations

with two genotypes and without mutations

Moivre-Laplace theorem

Moran model

N

Newton’s law of cooling

O

optimal stopping

classical problem of

model

rule

P

Poisson process

population

critical

subcritical

supercritical

problem

of buying (selling)

of control in finite-horizon

of default and replacement

of risk

of ruin

of the best choice

of the first depletion

of the secretary

pure birth process

linear

pure death process

Q

queueing system

R

random walk

regenerative process

reliability

renewal

equation

process

alternated

counting function of

delayed

with rewards

replacement models

reservoir model

reward (gain) function

risk insurance model

S

semi-Markov

kernel

process

regular

transition function

sequence of r.v.

stochastic Fibonacci model

stopping

sequence

time

T

transition function

U

urn model

Y

Yule-Furry-McKendrick process

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