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Gaussian measures in Hilbert space : construction and properties / / Alexander Kukush
| Gaussian measures in Hilbert space : construction and properties / / Alexander Kukush |
| Autore | Kukush Alexander |
| Pubbl/distr/stampa | London : , : ISTE Limited |
| Descrizione fisica | 1 online resource (260 pages) : illustrations |
| Disciplina | 515.42 |
| Collana | Mathematics and statistics series |
| Soggetto topico |
Measure theory
Hilbert space Gaussian measures |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-68666-0
1-119-68672-5 1-119-47682-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555045303321 |
Kukush Alexander
|
||
| London : , : ISTE Limited | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Gaussian measures in Hilbert space : construction and properties / / Alexander Kukush
| Gaussian measures in Hilbert space : construction and properties / / Alexander Kukush |
| Autore | Kukush Alexander |
| Pubbl/distr/stampa | London : , : ISTE Limited |
| Descrizione fisica | 1 online resource (260 pages) : illustrations |
| Disciplina | 515.42 |
| Collana | Mathematics and statistics series |
| Soggetto topico |
Measure theory
Hilbert space Gaussian measures |
| ISBN |
1-119-68666-0
1-119-68672-5 1-119-47682-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830691303321 |
|
Kukush Alexander
|
||
| London : , : ISTE Limited | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to stochastic models [[electronic resource] /] / Marius Iosifescu, Nikolaos Limnios, Gheorghe Oprişan ; series editor, Nikolaos Limnios
| Introduction to stochastic models [[electronic resource] /] / Marius Iosifescu, Nikolaos Limnios, Gheorghe Oprişan ; series editor, Nikolaos Limnios |
| Autore | Iosifescu Marius |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (385 p.) |
| Disciplina |
519.2/3
519.23 |
| Altri autori (Persone) |
LimniosN (Nikolaos)
OprişanGheorghe |
| Collana | Applied stochastic methods series |
| Soggetto topico |
Stochastic processes
Stochastic models |
| ISBN |
1-118-62352-5
1-118-62322-3 1-299-31565-8 0-470-39407-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Introduction to Stochastic Models; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction to Stochastic Processes; 1.1. Sequences of random variables; 1.2. The notion of stochastic process; 1.3. Martingales; 1.3.1. Stopping time; 1.3.2. Discrete-time martingales; 1.3.3. Martingale convergence; 1.3.4. Square integrable martingales; 1.4. Markov chains; 1.4.1. Markov property; 1.4.2. Transition function; 1.4.3. Strong Markov property; 1.5. State classification; 1.5.1. Stationary probability; 1.6. Continuous-time Markov processes; 1.6.1. Transition function
1.6.2. Kolmogorov equations1.7. Semi-Markov processes; 1.7.1. Markov renewal processes; 1.7.2. Semi-Markov processes; Chapter 2. Simple Stochastic Models; 2.1. Urn models; 2.2. Random walks; 2.3. Brownian motion; 2.3.1. Introduction; 2.3.2. Basic properties; 2.4. Poisson processes; 2.5. Birth and death processes; Chapter 3. Elements of Markov Modeling; 3.1. Markov models: ideas, history, applications; 3.2. The discrete-time Ehrenfest model; 3.2.1. The microscopic chain; 3.2.2. The macroscopic chain; 3.2.3. Some characteristics of the Ehrenfest model 3.2.4. The discrete-time Ehrenfest model: history, generalizations, similar models3.3. Markov models in genetics; 3.3.1. Laws of heredity and mathematics; 3.3.2. Haploid models; 3.3.3. Models with two genotypes and without mutations; 3.3.4. Models with several genotypes and without mutations; 3.3.5. Models with two genotypes and mutations; 3.3.6. Models with several genotypes and mutations; 3.3.7. Models with partitioned population; 3.3.8. Genealogy models for large size populations; 3.4. Markov storage models; 3.4.1. Discrete-time models; 3.4.2. Continuous-time models 3.4.3. A generalized storage model3.5. Reliability of Markov models; 3.5.1. Introduction to reliability; 3.5.2. Some classes of survival distributions; 3.5.3. Discrete-time models; 3.5.4. Continuous-time models; Chapter 4. Renewal Models; 4.1. Fundamental concepts and examples; 4.2. Waiting times; 4.3. Modified renewal processes; 4.4. Replacement models; 4.5. Renewal reward processes; 4.6. The risk problem of an insurance company; 4.7. Counter models; 4.7.1. Type I counters; 4.7.2. Type II counters; 4.8. Alternating renewal processes; 4.9. Superposition of renewal processes 4.10. Regenerative processesChapter 5. Semi-Markov Models; 5.1. Introduction; 5.2. Markov renewal processes; 5.2.1. Definitions; 5.2.2. Markov renewal theory; 5.3. First-passage times and state classification; 5.3.1. Stationary distribution and asymptotic results; 5.4. Reliability; 5.5. Reservoir models; 5.5.1. Model I; 5.5.2. Model II; 5.6. Queues; 5.6.1. The G/M/1 queue; 5.6.2. The M/G/1 queue; 5.7. Digital communication channels; Chapter 6. Branching Models; 6.1. The Bienaymé-Galton-Watson model; 6.1.1. Historical considerations; 6.1.2. Some elementary results; 6.1.3. A fundamental example 6.1.4. Extinction probability: critical theorem |
| Record Nr. | UNINA-9910139240403321 |
|
Iosifescu Marius
|
||
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Queueing theory 1 : advanced trends / / edited by Vladimir Anisimov, Nikolaos Limnios
| Queueing theory 1 : advanced trends / / edited by Vladimir Anisimov, Nikolaos Limnios |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020] |
| Descrizione fisica | 1 online resource (335 pages) : illustrations |
| Disciplina | 519.82 |
| Soggetto topico | Queuing theory |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-75542-5
1-119-75541-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Discrete Time Single-server Queues with Interdependent Interarrival and Service Times -- 1.1. Introduction -- 1.2. The Geo/Geo/1 case -- 1.2.1. Arrival probability as a function of service completion probability -- 1.2.2. Service times dependent on interarrival times -- 1.3. The PH/PH/1 case -- 1.3.1. A review of discrete PH distribution -- 1.3.2. The PH/PH/1 system -- 1.4. The model with multiple interarrival time distributions -- 1.4.1. Preliminaries -- 1.4.2. A queueing model with interarrival times dependent on service times -- 1.5. Interdependent interarrival and service times -- 1.5.1. A discrete time queueing model with bivariate geometric distribution -- 1.5.2. Matrix equivalent model -- 1.6. Conclusion -- 1.7. Acknowledgements -- 1.8. References -- 2 Busy Period, Congestion Analysis and Loss Probability in Fluid Queues -- 2.1. Introduction -- 2.2. Modeling a link under congestion and buffer fluctuations -- 2.2.1. Model description -- 2.2.2. Peaks and valleys -- 2.2.3. Minimum valley height in a busy period -- 2.2.4. Maximum peak level in a busy period -- 2.2.5. Maximum peak under a fixed fluid level -- 2.3. Fluid queue with finite buffer -- 2.3.1. Congestion metrics -- 2.3.2. Minimum valley height in a busy period -- 2.3.3. Reduction of the state space -- 2.3.4. Distributions of t1(x) and V1(x) -- 2.3.5. Sequences of idle and busy periods -- 2.3.6. Joint distributions of loss periods and loss volumes -- 2.3.7. Total duration of losses and volume of information lost -- 2.4. Conclusion -- 2.5. References -- 3 Diffusion Approximation of Queueing Systems and Networks -- 3.1. Introduction -- 3.2. Markov queueing processes -- 3.3. Average and diffusion approximation -- 3.3.1. Average scheme -- 3.3.2. Diffusion approximation scheme.
3.3.3. Stationary distribution -- 3.4. Markov queueing systems -- 3.4.1. Collective limit theorem in R1 -- 3.4.2. Systems of M/M type -- 3.4.3. Repairman problem -- 3.5. Markov queueing networks -- 3.5.1. Collective limit theorems in RN -- 3.5.2. Markov queueing networks -- 3.5.3. Superposition of Markov processes -- 3.6. Semi-Markov queueing systems -- 3.7. Acknowledgements -- 3.8. References -- 4 First-come First-served Retrial Queueing System by Laszlo Lakatos and its Modifications -- 4.1. Introduction -- 4.2. A contribution by Laszlo Lakatos and his disciples -- 4.3. A contribution by E.V. Koba -- 4.4. An Erlangian and hyper-Erlangian approximation for a Laszlo Lakatos-type queueing system -- 4.5. Two models with a combined queueing discipline -- 4.6. References -- 5 Parameter Mixing in Infinite-server Queues -- 5.1. Introduction -- 5.2. The M./Coxn/8 queue -- 5.2.1. The differential equation -- 5.2.2. Calculating moments -- 5.2.3. Steady state -- 5.2.4. M./M/8 -- 5.3. Mixing in Markov-modulated infinite-server queues -- 5.3.1. The differential equation -- 5.3.2. Calculating moments -- 5.4. Discussion and future work -- 5.5. References -- 6 Application of Fast Simulation Methods of Queueing Theory for Solving Some High-dimension Combinatorial Problems -- 6.1. Introduction -- 6.2. Upper and lower bounds for the number of some k-dimensional subspaces of a given weight over a finite field -- 6.2.1. A general fast simulation algorithm -- 6.2.2. An auxiliary algorithm -- 6.2.3. Exact analytical formulae for the cases k = 1 and k = 2 -- 6.2.4. The upper and lower bounds for the probability P{Y.(r)} -- 6.2.5. Numerical results -- 6.3. Evaluation of the number of "good" permutations by fast simulation on the SCIT-4 multiprocessor computer complex -- 6.3.1. Modified fast simulation method -- 6.3.2. Numerical results -- 6.4. References. 7 Diffusion and Gaussian Limits for Multichannel Queueing Networks -- 7.1. Introduction -- 7.2. Model description and notation -- 7.3. Local approach to prove limit theorems -- 7.3.1. Network of the [GI|M|8]r-type in heavy traffic -- 7.4. Limit theorems for networks with controlled input flow -- 7.4.1. Diffusion approximation of [SM|M|8]r-networks -- 7.4.2. Asymptotics of stationary distribution for [SM|GI|8]r-networks -- 7.4.3. Convergence to Ornstein-Uhlenbeck process -- 7.5. Gaussian approximation of networks with input flow of general structure -- 7.5.1. Gaussian approximation of [G|M|8]r-networks -- 7.5.2. Criterion of Markovian behavior for r-dimensional Gaussian processes -- 7.5.3. Non-Markov Gaussian approximation of [G|GI|8]r-networks -- 7.6. Limit processes for network with time-dependent input flow -- 7.6.1. Gaussian approximation of Mt|M|∞ r-networks in heavy traffic -- 7.6.2. Limit process in case of asymptotically large initial load -- 7.7. Conclusion -- 7.8. Acknowledgements -- 7.9. References -- 8 Recent Results in Finite-source Retrial Queues with Collisions -- 8.1. Introduction -- 8.2. Model description and notations -- 8.3. Systems with a reliable server -- 8.3.1. M/M/1 systems -- 8.3.2. M/GI/1 system -- 8.4. Systems with an unreliable server -- 8.4.1. M/M/1 system -- 8.4.2. M/GI/1 system -- 8.4.3. Stochastic simulation of special systems -- 8.4.4. Gamma distributed retrial times -- 8.4.5. The effect of breakdowns disciplines -- 8.5. Conclusion -- 8.6. Acknowledgments -- 8.7. References -- 9 Strong Stability of Queueing Systems and Networks: a Survey and Perspectives -- 9.1. Introduction -- 9.2. Preliminary and notations -- 9.3. Strong stability of queueing systems -- 9.3.1. M/M/1 queue -- 9.3.2. PH/M/1 and M/PH/1 queues -- 9.3.3. G/M/1 and M/G/1 queues -- 9.3.4. Other queues -- 9.3.5. Queueing networks. 9.3.6. Non-parametric perturbation -- 9.4. Conclusion and further directions -- 9.5. References -- 10 Time-varying Queues: a Two-time-scale Approach -- 10.1. Introduction -- 10.2. Time-varying queues -- 10.3. Main results -- 10.3.1. Large deviations of two-time-scale queues -- 10.3.2. Computation of H(y, t) -- 10.3.3. Applications to queueing systems -- 10.4. Concluding remarks -- 10.5. References -- List of Authors -- Index -- EULA. |
| Record Nr. | UNINA-9910554883003321 |
| London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Queueing theory 1 : advanced trends / / edited by Vladimir Anisimov, Nikolaos Limnios
| Queueing theory 1 : advanced trends / / edited by Vladimir Anisimov, Nikolaos Limnios |
| Edizione | [1st edition.] |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020] |
| Descrizione fisica | 1 online resource (335 pages) : illustrations |
| Disciplina | 519.82 |
| Soggetto topico | Queuing theory |
| ISBN |
1-119-75542-5
1-119-75541-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Discrete Time Single-server Queues with Interdependent Interarrival and Service Times -- 1.1. Introduction -- 1.2. The Geo/Geo/1 case -- 1.2.1. Arrival probability as a function of service completion probability -- 1.2.2. Service times dependent on interarrival times -- 1.3. The PH/PH/1 case -- 1.3.1. A review of discrete PH distribution -- 1.3.2. The PH/PH/1 system -- 1.4. The model with multiple interarrival time distributions -- 1.4.1. Preliminaries -- 1.4.2. A queueing model with interarrival times dependent on service times -- 1.5. Interdependent interarrival and service times -- 1.5.1. A discrete time queueing model with bivariate geometric distribution -- 1.5.2. Matrix equivalent model -- 1.6. Conclusion -- 1.7. Acknowledgements -- 1.8. References -- 2 Busy Period, Congestion Analysis and Loss Probability in Fluid Queues -- 2.1. Introduction -- 2.2. Modeling a link under congestion and buffer fluctuations -- 2.2.1. Model description -- 2.2.2. Peaks and valleys -- 2.2.3. Minimum valley height in a busy period -- 2.2.4. Maximum peak level in a busy period -- 2.2.5. Maximum peak under a fixed fluid level -- 2.3. Fluid queue with finite buffer -- 2.3.1. Congestion metrics -- 2.3.2. Minimum valley height in a busy period -- 2.3.3. Reduction of the state space -- 2.3.4. Distributions of t1(x) and V1(x) -- 2.3.5. Sequences of idle and busy periods -- 2.3.6. Joint distributions of loss periods and loss volumes -- 2.3.7. Total duration of losses and volume of information lost -- 2.4. Conclusion -- 2.5. References -- 3 Diffusion Approximation of Queueing Systems and Networks -- 3.1. Introduction -- 3.2. Markov queueing processes -- 3.3. Average and diffusion approximation -- 3.3.1. Average scheme -- 3.3.2. Diffusion approximation scheme.
3.3.3. Stationary distribution -- 3.4. Markov queueing systems -- 3.4.1. Collective limit theorem in R1 -- 3.4.2. Systems of M/M type -- 3.4.3. Repairman problem -- 3.5. Markov queueing networks -- 3.5.1. Collective limit theorems in RN -- 3.5.2. Markov queueing networks -- 3.5.3. Superposition of Markov processes -- 3.6. Semi-Markov queueing systems -- 3.7. Acknowledgements -- 3.8. References -- 4 First-come First-served Retrial Queueing System by Laszlo Lakatos and its Modifications -- 4.1. Introduction -- 4.2. A contribution by Laszlo Lakatos and his disciples -- 4.3. A contribution by E.V. Koba -- 4.4. An Erlangian and hyper-Erlangian approximation for a Laszlo Lakatos-type queueing system -- 4.5. Two models with a combined queueing discipline -- 4.6. References -- 5 Parameter Mixing in Infinite-server Queues -- 5.1. Introduction -- 5.2. The M./Coxn/8 queue -- 5.2.1. The differential equation -- 5.2.2. Calculating moments -- 5.2.3. Steady state -- 5.2.4. M./M/8 -- 5.3. Mixing in Markov-modulated infinite-server queues -- 5.3.1. The differential equation -- 5.3.2. Calculating moments -- 5.4. Discussion and future work -- 5.5. References -- 6 Application of Fast Simulation Methods of Queueing Theory for Solving Some High-dimension Combinatorial Problems -- 6.1. Introduction -- 6.2. Upper and lower bounds for the number of some k-dimensional subspaces of a given weight over a finite field -- 6.2.1. A general fast simulation algorithm -- 6.2.2. An auxiliary algorithm -- 6.2.3. Exact analytical formulae for the cases k = 1 and k = 2 -- 6.2.4. The upper and lower bounds for the probability P{Y.(r)} -- 6.2.5. Numerical results -- 6.3. Evaluation of the number of "good" permutations by fast simulation on the SCIT-4 multiprocessor computer complex -- 6.3.1. Modified fast simulation method -- 6.3.2. Numerical results -- 6.4. References. 7 Diffusion and Gaussian Limits for Multichannel Queueing Networks -- 7.1. Introduction -- 7.2. Model description and notation -- 7.3. Local approach to prove limit theorems -- 7.3.1. Network of the [GI|M|8]r-type in heavy traffic -- 7.4. Limit theorems for networks with controlled input flow -- 7.4.1. Diffusion approximation of [SM|M|8]r-networks -- 7.4.2. Asymptotics of stationary distribution for [SM|GI|8]r-networks -- 7.4.3. Convergence to Ornstein-Uhlenbeck process -- 7.5. Gaussian approximation of networks with input flow of general structure -- 7.5.1. Gaussian approximation of [G|M|8]r-networks -- 7.5.2. Criterion of Markovian behavior for r-dimensional Gaussian processes -- 7.5.3. Non-Markov Gaussian approximation of [G|GI|8]r-networks -- 7.6. Limit processes for network with time-dependent input flow -- 7.6.1. Gaussian approximation of Mt|M|∞ r-networks in heavy traffic -- 7.6.2. Limit process in case of asymptotically large initial load -- 7.7. Conclusion -- 7.8. Acknowledgements -- 7.9. References -- 8 Recent Results in Finite-source Retrial Queues with Collisions -- 8.1. Introduction -- 8.2. Model description and notations -- 8.3. Systems with a reliable server -- 8.3.1. M/M/1 systems -- 8.3.2. M/GI/1 system -- 8.4. Systems with an unreliable server -- 8.4.1. M/M/1 system -- 8.4.2. M/GI/1 system -- 8.4.3. Stochastic simulation of special systems -- 8.4.4. Gamma distributed retrial times -- 8.4.5. The effect of breakdowns disciplines -- 8.5. Conclusion -- 8.6. Acknowledgments -- 8.7. References -- 9 Strong Stability of Queueing Systems and Networks: a Survey and Perspectives -- 9.1. Introduction -- 9.2. Preliminary and notations -- 9.3. Strong stability of queueing systems -- 9.3.1. M/M/1 queue -- 9.3.2. PH/M/1 and M/PH/1 queues -- 9.3.3. G/M/1 and M/G/1 queues -- 9.3.4. Other queues -- 9.3.5. Queueing networks. 9.3.6. Non-parametric perturbation -- 9.4. Conclusion and further directions -- 9.5. References -- 10 Time-varying Queues: a Two-time-scale Approach -- 10.1. Introduction -- 10.2. Time-varying queues -- 10.3. Main results -- 10.3.1. Large deviations of two-time-scale queues -- 10.3.2. Computation of H(y, t) -- 10.3.3. Applications to queueing systems -- 10.4. Concluding remarks -- 10.5. References -- List of Authors -- Index -- EULA. |
| Record Nr. | UNINA-9910829939103321 |
| London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Semi-Markov chains and hidden semi-Markov models toward applications [[electronic resource] ] : their use in reliability and DNA analysis / / Vlad Stefan Barbu and Nikolaos Limnios
| Semi-Markov chains and hidden semi-Markov models toward applications [[electronic resource] ] : their use in reliability and DNA analysis / / Vlad Stefan Barbu and Nikolaos Limnios |
| Autore | Barbu Vlad Stefan |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, : Springer, 2008 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 519.233 |
| Altri autori (Persone) | LimniosN (Nikolaos) |
| Collana | Lecture notes in statistics |
| Soggetto topico |
Markov processes
Reliability (Engineering) - Mathematical models DNA - Analysis - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-96006-3
9786611960063 0-387-73173-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Discrete-Time Renewal Processes -- Semi-Markov Chains -- Non parametric Estimation for Semi-Markov Chains -- Reliability Theory for Discrete-Time Semi-Markov Systems -- Hidden Semi-Markov Model and Estimation. |
| Record Nr. | UNINA-9910454634303321 |
|
Barbu Vlad Stefan
|
||
| New York, : Springer, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Semi-Markov chains and hidden semi-Markov models toward applications [[electronic resource] ] : their use in reliability and DNA analysis / / Vlad Stefan Barbu and Nikolaos Limnios
| Semi-Markov chains and hidden semi-Markov models toward applications [[electronic resource] ] : their use in reliability and DNA analysis / / Vlad Stefan Barbu and Nikolaos Limnios |
| Autore | Barbu Vlad Stefan |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, : Springer, 2008 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 519.233 |
| Altri autori (Persone) | LimniosN (Nikolaos) |
| Collana | Lecture notes in statistics |
| Soggetto topico |
Markov processes
Reliability (Engineering) - Mathematical models DNA - Analysis - Mathematical models |
| ISBN |
1-281-96006-3
9786611960063 0-387-73173-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Discrete-Time Renewal Processes -- Semi-Markov Chains -- Non parametric Estimation for Semi-Markov Chains -- Reliability Theory for Discrete-Time Semi-Markov Systems -- Hidden Semi-Markov Model and Estimation. |
| Record Nr. | UNINA-9910782770903321 |
|
Barbu Vlad Stefan
|
||
| New York, : Springer, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Semi-Markov chains and hidden semi-Markov models toward applications [[electronic resource] ] : their use in reliability and DNA analysis / / Vlad Stefan Barbu and Nikolaos Limnios
| Semi-Markov chains and hidden semi-Markov models toward applications [[electronic resource] ] : their use in reliability and DNA analysis / / Vlad Stefan Barbu and Nikolaos Limnios |
| Autore | Barbu Vlad Stefan |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | New York, : Springer, 2008 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 519.233 |
| Altri autori (Persone) | LimniosN (Nikolaos) |
| Collana | Lecture notes in statistics |
| Soggetto topico |
Markov processes
Reliability (Engineering) - Mathematical models DNA - Analysis - Mathematical models |
| ISBN |
1-281-96006-3
9786611960063 0-387-73173-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Discrete-Time Renewal Processes -- Semi-Markov Chains -- Non parametric Estimation for Semi-Markov Chains -- Reliability Theory for Discrete-Time Semi-Markov Systems -- Hidden Semi-Markov Model and Estimation. |
| Record Nr. | UNINA-9910821586803321 |
|
Barbu Vlad Stefan
|
||
| New York, : Springer, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods and modeling of seismogenesis / / Coordinated by Nikolaos Limnios, Eleftheria Papadimitriou, George Tsaklidis
| Statistical methods and modeling of seismogenesis / / Coordinated by Nikolaos Limnios, Eleftheria Papadimitriou, George Tsaklidis |
| Pubbl/distr/stampa | London : , : ISTE Ltd |
| Descrizione fisica | 1 online resource (333 pages) |
| Disciplina | 551.220727 |
| Soggetto topico |
Seismology - Statistical methods
Seismology - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-82504-0
1-119-82503-2 1-119-82505-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555248403321 |
| London : , : ISTE Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods and modeling of seismogenesis / / Coordinated by Nikolaos Limnios, Eleftheria Papadimitriou, George Tsaklidis
| Statistical methods and modeling of seismogenesis / / Coordinated by Nikolaos Limnios, Eleftheria Papadimitriou, George Tsaklidis |
| Pubbl/distr/stampa | London : , : ISTE Ltd |
| Descrizione fisica | 1 online resource (333 pages) |
| Disciplina | 551.220727 |
| Soggetto topico |
Seismology - Statistical methods
Seismology - Mathematical models |
| ISBN |
1-119-82504-0
1-119-82503-2 1-119-82505-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910677877303321 |
| London : , : ISTE Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
