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Stochastic Processes: Theory and Methods,9780444500144
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Stochastic Processes: Theory and Methods


Author(s): SHANBHAG D. N.
ISBN10:  0444500146
ISBN13:  9780444500144
Format:  Hardcover
Pub. Date:  1/1/2001
Publisher(s): Elsevier Science Ltd

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Table of Contents
Preface v
Contributors xv
Pareto Processes
1(34)
Barry C. Arnold
Introduction
1(1)
Distributional properties of Pareto variables
2(2)
Multivariate Pareto distributions
4(7)
Pareto processes
11(1)
Autoregressive classical Pareto processes
12(4)
Autoregressive Pareto (III) processes
16(6)
Extensions and modifications
22(5)
Related processes
27(8)
References
32(3)
Branching Processes
35(20)
K. B. Athreya
A. N. Vidyashankar
Introduction
35(1)
Branching processes Single type case
36(4)
Branching process: Multitype case
40(4)
Continuous time (age dependent) branching processes
44(2)
Branching processes in random environments
46(2)
Branching random walks
48(7)
Acknowledgements
50(1)
References
50(5)
Inference in Stochastic Processes
55(24)
I. V. Basawa
Introduction
55(1)
Likelihood methods
56(10)
Optimal estmating functions
66(1)
Semiparametric models and adaptive estimation
67(1)
Bayes and empirical Bayes methods
68(1)
Some applications
69(10)
Acknowledgement
75(1)
References
76(3)
Topics in poisson Approximation
79(38)
A. D. Barbour
Introduction
79(5)
The Stein-Chen method
84(7)
Probabilities of small counts
91(5)
Poisson point process approximation
96(7)
Compound Poisson approximation
103(14)
Acknowledgement
112(1)
References
112(5)
Some Elements on Levy Processes
117(28)
Jean Bertoin
Introduction
117(1)
Basic aspects of Levy processes
118(9)
Distribution of some functionals
127(8)
Some sample path properties
135(10)
References
142(3)
Iterated Random Maps and Some Classes of Markov Processes
145(26)
Rabi Bhattacharya
Edward C. Waymire
Introduction
145(9)
Ergodic problem, rates of convergence, and the central limit theorem
154(1)
Doeblin's minorization and coupling via backward iteration
155(2)
Harris recurrence, small sets, local minorization, and regeneration
157(1)
Liapounov functionals and Foster-Tweedie drift conditions
158(1)
Dubins-Freedman splitting for monotone maps and its generalization
159(3)
Localized splitting
162(3)
Examples revisited
165(6)
Acknowledgements
168(1)
References
168(3)
Random Walk and Fluctuation Theory
171(44)
N. H. Bingham
Part I: Random walk on Euclidean space
171(1)
Introduction
171(1)
Simple random walk on Z
171(2)
Recurrence and transience
173(1)
Simple random walk on Zd; Polya's theorem
174(1)
Random walks on Rd
175(2)
Harmonic analysis
177(1)
Potential theory
177(2)
Coupling
179(1)
Renewal theory
179(1)
Limit theorems and Brownian motion
180(1)
Conditioned random walks
181(1)
Part II: Random walks in more general contexts
182(1)
Random walks and electrical networks
182(1)
Random walk on graphs
183(2)
Random walks on groups
185(3)
Brownian motion on Riemannian manifolds
188(1)
Random walks on homogeneous spaces, Gelfand pairs, hypergroups and semigroups
189(1)
Random walk on graphs with special structure
190(1)
Variants on random walk
191(2)
Part III: Fluctuation theory
193(1)
Spitzer's identity
193(2)
Ladder epochs and heights
195(2)
Spitzer's arc-sine law
197(2)
Ballot theorems
199(1)
Queues
199(2)
Continuous time
201(2)
Barrier problems
203(1)
Higher dimensions and algebraic extensions
204(1)
Distribution-free results and non-parametric statistics
205(1)
Postscript
206(9)
References
206(9)
A Semigroup Representation and Asymptotic Behavior of Certain Statistics of the Fisher-Wright-Moran Coalescent
215(34)
Adam Bobrowski
Marek Kimmel
Ovide Arino
Ranajit Chakraborty
Introduction
215(2)
Markov-chain mutations and genetic drift in populations of varying size
217(2)
Mathematical preliminaries
219(3)
The Lyapunov equation and its asymptotic behavior
222(13)
Stepwise Mutation Model with variable population size
235(5)
Discussion
240(2)
Acknowledgements
242(1)
Appendix
242(7)
References
246(3)
Continuous-Time ARMA Processes
249(28)
P. J. Brockwell
Introduction
249(2)
CARMA (p, q) processes
251(5)
ARMA (p, q) processes
256(3)
Embedding and aliasing
259(4)
Inference for linear CARMA processes
263(1)
Nonlinear CAR models
264(3)
CTAR (p) processes
267(3)
Inference for CTAR processes
270(7)
Acknowledgement
275(1)
References
275(2)
Record Sequences and their Applications
277(32)
John Bunge
Charles M. Goldie
Introduction
277(1)
Partial records
278(2)
Record values
280(4)
Sojourns
284(5)
Record times
289(3)
Limit theory and strong approximation
292(3)
Extensions, connections and applications
295(3)
Random record processes
298(1)
Poisson paced records
299(2)
Birth-process paced records
301(2)
Renewal paced records
303(3)
Extensions and applications
306(3)
References
306(3)
Stochastic Networks with Product Form Equilibrium
309(56)
Hans Daduna
Introduction
309(2)
Birth-death processes and exponential networks of queues
311(6)
Vector-valued birth-death processes and generalized migration processes
317(5)
Migration processes with concurrent movements and an application of local balance principles
322(5)
Stochastic ordering and stochastic comparison for network processes
327(3)
Correlation theory for network processes
330(4)
Customers of different types, the arrival theorem
334(5)
Individual customers' sojourn time distributions and passage time distributions
339(7)
General and symmetric servers: Insensitivity theory
346(8)
Mixed networks of general exponential and symmetric servers
354(3)
Complements
357(8)
References
359(6)
Stochastic Processes in Insurance and Finance
365(48)
Paul Embrechts
Rudiger Frey
Hansjorg Furrer
Introduction
365(8)
Stochastic processes in insurance
373(16)
Stochastic processes in finance
389(15)
On the interplay between finance and insurance
404(9)
Acknowledgements
408(1)
References
408(5)
Renewal Theory
413(30)
D. R. Grey
Introduction
413(1)
Feller's recurrent events
414(4)
Theorems of Blackwell, Feller and Orey
418(2)
Renewal equations
420(4)
Markov renewal and semi-regenerative processes
424(1)
Kingman's regenerative phenomena
425(2)
Superposition of renewal processes
427(2)
Applications to random walks and branching processes
429(3)
An inventory model
432(2)
Stationary increments
434(2)
Goldie's implicit renewal theory
436(3)
Schmidli's extension
439(4)
References
440(3)
The Kolmogorov Isomorphism Theorem and Extensions to some Nonstationary Processes
443(28)
Yuichiro Kakihara
Introduction
443(1)
Stationary processes and the Kolmogorov Isomorphism Theorem
444(3)
Some classes of nonstationary processes
447(6)
Weakly harmonizable processes and the Kolmogolov Isomorphism Theorem
453(2)
Application to estimation and filtering
455(5)
Multidimensional extension
460(11)
Acknowledgement
468(1)
References
468(3)
Stochastic Processes in Reliability
471(40)
Masaaki Kijima
Haijun Li
Moshe Shaked
Introduction
471(1)
Aging first-passage times
472(11)
Comparison of replacement policies via point processes
483(12)
Comparison of repairable systems via point processes
495(3)
A stochastic process approach to failure models in random environments
498(13)
References
507(4)
On the supports of Stochastic Processes of Multiplicity One
511(22)
A. Klopotowski
M. G. Nadkarni
Introduction
511(1)
Additive decompositions, good sets
512(3)
Graphs, couples and their unions
515(2)
Links, linked and uniquely linked sets, loops
517(5)
Orthogonal decompositions
522(3)
Connection with dynamics, twisted joinings
525(1)
Application to the problem of simple Lebesgue spectrum
526(1)
Walsh functions
527(6)
Acknowledgements
530(1)
References
531(2)
Gaussian Processes: Inequalities, Small Ball Probabilities and Applications
533(66)
W. V. Li
Q.-M. Shao
Introduction
533(3)
Inequalities for Gaussian random elements
536(7)
Small ball probabilities in general setting
543(13)
Gaussian processes with index set T ⊃ R
556(7)
Gaussian processes with index set T ⊃ Rd, d ≥ 2
563(3)
The small ball constants
566(10)
Applications of small ball probabilities
576(23)
Acknowledgements
591(1)
References
592(7)
Point Processes and Some Related Processes
599(44)
Robin K. Milne
Introduction
599(2)
Foundations
601(17)
Operations on point processes and associated limit results
618(4)
Some other classes of point process
622(9)
Statistical inference
631(4)
Simulation
635(1)
Concluding remarks
636(7)
Acknowledgements
637(1)
References
638(5)
Characterization and Identifiability for Stochastic Processes
643(50)
B. L. S. Prakasa Rao
Introduction
643(1)
Characterizations by properties of stochastic integrals of processes with independent increments
644(19)
Martingales and conditional structure characterizations
663(12)
Characterizations for Poisson process as a renewal process and as a point process
675(9)
Miscellaneous characterizations
684(9)
Acknowledgement
687(1)
References
687(6)
Associated Sequences and Related Inference Problems
693(40)
B. L. S. Prakasa Rao
Isha Dewan
Introduction
693(11)
Some probabilistic properties for associated sequences
704(15)
Random generation of associated sequences
719(1)
Statistical inference for associated sequences
720(13)
References
728(5)
Exchangeability, Functional Equations, and Characterizations
733(32)
C. R. Rao
D. N. Shanbhag
Introduction
733(2)
de Finetti's theorem and some related auxiliary results
735(7)
Functional equations with applications in probability and statistics
742(13)
Characterizations of mixtures of probability distributions
755(10)
Acknowledgement
761(1)
References
761(4)
Martingales and Some Applications
765(52)
M. M. Rao
Introduction
765(2)
Martingale concepts and inequalities
767(6)
Convergence theorems
773(5)
Elements of (semi)martingale calculus
778(15)
An application to likelihood ratios
793(4)
Exponential (semi)martingales
797(6)
Applications to financial market models
803(9)
Remarks on multiparameter and other extensions
812(5)
References
815(2)
Markov Chains: Structure and Applications
817(36)
R. L. Tweedie
Introduction
817(3)
Countable space chains
820(11)
General state space chains
831(12)
Topological spaces
843(5)
Conclusions
848(5)
Acknowledgement
849(1)
References
849(4)
Diffusion Processes
853(20)
S. R. S. Varadhan
Brownian motion
853(2)
Brownian motion as a Markov process
855(1)
Semigroups and generators
856(2)
Stochastic integrals
858(1)
Ito calculus
859(2)
Brownian motion with a drift
861(2)
One-dimensional diffusions
863(5)
The multidimensional case
868(3)
Diffusions with reflection
871(2)
References
872(1)
Ito's Stochastic Calculus and Its Applications
873(62)
S. Watanabe
Introduction
873(1)
Semimartingales and stochastic integrals
874(12)
Stochastic calculus for semimartingales
886(15)
Stochastic differential equations
901(19)
Stochastic differential equations on manifolds
920(15)
References
931(4)
Subject Index 935(12)
Contents of Previous Volumes 947

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