Handbook of Statistics - Stochastic Processes: Modelling and Simulation
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9780444500137

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Ch. 20. Point processes in astronomy: Exciting events in the universe

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21022-1 ◽

2003 ◽

pp. 795-825 ◽

Cited By ~ 3

Author(s):

Jeffrey D. Scargle ◽

Gutti Jogesh Babu

Keyword(s):

Point Processes ◽

The Universe

Ch. 11. Numerical methods in queueing theory

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21013-0 ◽

2003 ◽

pp. 407-429 ◽

Cited By ~ 2

Author(s):

D. Heyman

Keyword(s):

Numerical Methods ◽

Queueing Theory

Ch. 14. An introduction to semi-markov processes with application to reliability

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21016-6 ◽

2003 ◽

pp. 515-556 ◽

Cited By ~ 12

Author(s):

Nikolaos Limnios ◽

Gheorghe Opri¢an

Keyword(s):

Markov Processes ◽

Semi Markov Processes

Contents of previous volumes

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21027-0 ◽

2003 ◽

pp. 979-1000

Ch. 12. Applications of markov chains to the distribution theory of runs and patterns

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21014-2 ◽

2003 ◽

pp. 431-472 ◽

Cited By ~ 7

Author(s):

M.V. Koutras

Keyword(s):

Markov Chains ◽

Distribution Theory ◽

Runs And Patterns

Subject index

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21026-9 ◽

2003 ◽

pp. 969-978

Ch. 22. Nonlinear and non-gaussian state-space modeling with monte carlo techniques: A survey and comparative study

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21024-5 ◽

2003 ◽

pp. 871-929 ◽

Cited By ~ 5

Author(s):

Hisashi Tanizaki

Keyword(s):

Monte Carlo ◽

Comparative Study ◽

State Space ◽

Gaussian State ◽

Monte Carlo Techniques ◽

Space Modeling ◽

State Space Modeling ◽

Non Gaussian

Ch. 5. An empirical process with applications to testing the exponential and geometric models

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21007-5 ◽

2003 ◽

pp. 167-225

Author(s):

J.A. Ferreira

Keyword(s):

Empirical Process ◽

Geometric Models

Ch. 2. Models of random graphs and their applications

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21004-x ◽

2003 ◽

pp. 51-91 ◽

Cited By ~ 5

Author(s):

C. Cannings ◽

D.B. Penman

Keyword(s):

Random Graphs

Ch. 3. Locally self-similar processes and their wavelet analysis

Handbook of Statistics - Stochastic Processes: Modelling and Simulation ◽

10.1016/s0169-7161(03)21005-1 ◽

2003 ◽

pp. 93-135 ◽

Cited By ~ 10

Author(s):

Joseph E. Cavanaugh ◽

Yazhen Wang ◽

J. Wade Davis

Keyword(s):

Wavelet Analysis ◽

Self Similar

Handbook of Statistics - Stochastic Processes: Modelling and SimulationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

Ch. 20. Point processes in astronomy: Exciting events in the universe

Ch. 11. Numerical methods in queueing theory

Ch. 14. An introduction to semi-markov processes with application to reliability

Contents of previous volumes

Ch. 12. Applications of markov chains to the distribution theory of runs and patterns

Subject index

Ch. 22. Nonlinear and non-gaussian state-space modeling with monte carlo techniques: A survey and comparative study

Ch. 5. An empirical process with applications to testing the exponential and geometric models

Ch. 2. Models of random graphs and their applications

Ch. 3. Locally self-similar processes and their wavelet analysis

Handbook of Statistics - Stochastic Processes: Modelling and Simulation
Latest Publications