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Stochastic models in queueing theory [[electronic resource] /] / J. Medhi
Stochastic models in queueing theory [[electronic resource] /] / J. Medhi
Autore Medhi J (Jyotiprasad)
Edizione [2nd ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Academic Press, c2003
Descrizione fisica 1 online resource (501 p.)
Disciplina 519.8/2
Collana Mathematics in science and engineering
Soggetto topico Queuing theory
Stochastic processes
Soggetto genere / forma Electronic books.
ISBN 1-281-05703-7
9786611057039
0-08-054181-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Stochastic Models in Queueing Theory; Copyright Page; Contents; Preface; Chapter 1. Stochastic Processes; 1.1 Introduction; 1.2 Markov Chains; 1.3 Continuous-Time Markov Chains; 1.4 Birth-and-Death Processes; 1.5 Poisson Process; 1.6 Randomization: Derived Markov Chains; 1.7 Renewal Processes; 1.8 Regenerative Processes; 1.9 Markov Renewal Processes and Semi-Markov Processes; Problems; References and Further Reading; Chapter 2. Queueing Systems: General Concepts; 2.1 Introduction; 2.2 Queueing Processes; 2.3 Notation; 2.4 Transient and Steady-State Behavior
2.5 Limitations of the Steady-State Distribution2.6 Some General Relationships in Queueing Theory; 2.7 Poisson Arrival Process and Its Characteristics; References and Further Reading; Chapter 3. Birth-and-Death Queueing Systems: Exponential Models; 3.1 Introduction; 3.2 The Simple M/M/1 Queue; 3.3 System with Limited Waiting Space: The M/M/1/K Model; 3.4 Birth-and-Death Processes: Exponential Models; 3.5 The M/M/oo Model: Exponential Model with an Infinite Number of Servers; 3.6 The Model M/M/c; 3.7 The M/M/c/c System: Eriang Loss Model; 3.8 Model with Finite Input Source
3.9 Transient Behavior3.10 Transient-State Distribution of the M/M/c Model; 3.11 Multichannel Queue with Ordered Entry; Problems and Complements; References and Further Reading; Chapter 4. Non-Birth-and-DeathQueueingSystems: Markovian Models; 4.1 Introduction; 4.2 Bulk Queues; 4.3 Queueing Models with Bulk (Batch) Service; 4.4 M/M(a,b)/1: Transient-State Distribution; 4.5 Two-Server Model: M/M(a,b)/2; 4.6 The M/M((l,b)/c Model; Problems and Complements; References and Further Reading; Chapter 5. Network of Queues; 5.1 Network of Markovian Queues; 5.2 Channels in Series or Tandem Queues
5.3 Jackson Network5.4 Closed Markovian Network (Gordon and Newell Network); 5.5 Cyclic Queue; 5.6 BCMP Networks; 5.7 Concluding Remarks; Problems and Complements; References and Further Reading; Chapter 6. Non-Markovian Queueing Systems; 6.1 Introduction; 6.2 Embedded-Markov-Chain Technique for the System with Poisson Input; 6.3 TheM/6/1 Model: Pollaczek-Khinchin Formula; 6.4 Busy Period; 6.5 Queues with Finite Input Source: M/G/l//M System; 6.6 System with Limited Waiting Space. M/G/l/K System; 6.7 The M+/G/l Model with Bulk Arrival; 6.8 The M/G(a,b)/l Model with General Bulk Service
6.9 The G/M/l Model6.10 Multiserver Model; 6.11 Queues with Markovian Arrival Process; Problems and Complements; References and Further Reading; Chapter 7. Queues with General Arrival Time and Service-Time Distributions; 7.1 The G/G/1 Queue with General Arrival Time and Service-Time Distributions; 7.2 Mean and Variance of Waiting Time tV; 7.3 Queues with Batch Arrivals G(X)/G/1; 7.4 The Output Process of a G /G / 1 System; 7.5 Some Bounds for the G/ G / 1 System; Problems and Complements; References and Further Reading; Chapter 8. Miscellaneous Topics
8.1 Heavy-Traffic Approximation for Waiting-Time Distribution
Record Nr. UNINA-9910458069003321
Medhi J (Jyotiprasad)  
Amsterdam ; ; Boston, : Academic Press, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic models in queueing theory [[electronic resource] /] / J. Medhi
Stochastic models in queueing theory [[electronic resource] /] / J. Medhi
Autore Medhi J (Jyotiprasad)
Edizione [2nd ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Academic Press, c2003
Descrizione fisica 1 online resource (501 p.)
Disciplina 519.8/2
Collana Mathematics in science and engineering
Soggetto topico Queuing theory
Stochastic processes
ISBN 1-281-05703-7
9786611057039
0-08-054181-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Stochastic Models in Queueing Theory; Copyright Page; Contents; Preface; Chapter 1. Stochastic Processes; 1.1 Introduction; 1.2 Markov Chains; 1.3 Continuous-Time Markov Chains; 1.4 Birth-and-Death Processes; 1.5 Poisson Process; 1.6 Randomization: Derived Markov Chains; 1.7 Renewal Processes; 1.8 Regenerative Processes; 1.9 Markov Renewal Processes and Semi-Markov Processes; Problems; References and Further Reading; Chapter 2. Queueing Systems: General Concepts; 2.1 Introduction; 2.2 Queueing Processes; 2.3 Notation; 2.4 Transient and Steady-State Behavior
2.5 Limitations of the Steady-State Distribution2.6 Some General Relationships in Queueing Theory; 2.7 Poisson Arrival Process and Its Characteristics; References and Further Reading; Chapter 3. Birth-and-Death Queueing Systems: Exponential Models; 3.1 Introduction; 3.2 The Simple M/M/1 Queue; 3.3 System with Limited Waiting Space: The M/M/1/K Model; 3.4 Birth-and-Death Processes: Exponential Models; 3.5 The M/M/oo Model: Exponential Model with an Infinite Number of Servers; 3.6 The Model M/M/c; 3.7 The M/M/c/c System: Eriang Loss Model; 3.8 Model with Finite Input Source
3.9 Transient Behavior3.10 Transient-State Distribution of the M/M/c Model; 3.11 Multichannel Queue with Ordered Entry; Problems and Complements; References and Further Reading; Chapter 4. Non-Birth-and-DeathQueueingSystems: Markovian Models; 4.1 Introduction; 4.2 Bulk Queues; 4.3 Queueing Models with Bulk (Batch) Service; 4.4 M/M(a,b)/1: Transient-State Distribution; 4.5 Two-Server Model: M/M(a,b)/2; 4.6 The M/M((l,b)/c Model; Problems and Complements; References and Further Reading; Chapter 5. Network of Queues; 5.1 Network of Markovian Queues; 5.2 Channels in Series or Tandem Queues
5.3 Jackson Network5.4 Closed Markovian Network (Gordon and Newell Network); 5.5 Cyclic Queue; 5.6 BCMP Networks; 5.7 Concluding Remarks; Problems and Complements; References and Further Reading; Chapter 6. Non-Markovian Queueing Systems; 6.1 Introduction; 6.2 Embedded-Markov-Chain Technique for the System with Poisson Input; 6.3 TheM/6/1 Model: Pollaczek-Khinchin Formula; 6.4 Busy Period; 6.5 Queues with Finite Input Source: M/G/l//M System; 6.6 System with Limited Waiting Space. M/G/l/K System; 6.7 The M+/G/l Model with Bulk Arrival; 6.8 The M/G(a,b)/l Model with General Bulk Service
6.9 The G/M/l Model6.10 Multiserver Model; 6.11 Queues with Markovian Arrival Process; Problems and Complements; References and Further Reading; Chapter 7. Queues with General Arrival Time and Service-Time Distributions; 7.1 The G/G/1 Queue with General Arrival Time and Service-Time Distributions; 7.2 Mean and Variance of Waiting Time tV; 7.3 Queues with Batch Arrivals G(X)/G/1; 7.4 The Output Process of a G /G / 1 System; 7.5 Some Bounds for the G/ G / 1 System; Problems and Complements; References and Further Reading; Chapter 8. Miscellaneous Topics
8.1 Heavy-Traffic Approximation for Waiting-Time Distribution
Record Nr. UNINA-9910784564803321
Medhi J (Jyotiprasad)  
Amsterdam ; ; Boston, : Academic Press, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic models in queueing theory [[electronic resource] /] / J. Medhi
Stochastic models in queueing theory [[electronic resource] /] / J. Medhi
Autore Medhi J (Jyotiprasad)
Edizione [2nd ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Academic Press, c2003
Descrizione fisica 1 online resource (501 p.)
Disciplina 519.8/2
Collana Mathematics in science and engineering
Soggetto topico Queuing theory
Stochastic processes
ISBN 1-281-05703-7
9786611057039
0-08-054181-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Stochastic Models in Queueing Theory; Copyright Page; Contents; Preface; Chapter 1. Stochastic Processes; 1.1 Introduction; 1.2 Markov Chains; 1.3 Continuous-Time Markov Chains; 1.4 Birth-and-Death Processes; 1.5 Poisson Process; 1.6 Randomization: Derived Markov Chains; 1.7 Renewal Processes; 1.8 Regenerative Processes; 1.9 Markov Renewal Processes and Semi-Markov Processes; Problems; References and Further Reading; Chapter 2. Queueing Systems: General Concepts; 2.1 Introduction; 2.2 Queueing Processes; 2.3 Notation; 2.4 Transient and Steady-State Behavior
2.5 Limitations of the Steady-State Distribution2.6 Some General Relationships in Queueing Theory; 2.7 Poisson Arrival Process and Its Characteristics; References and Further Reading; Chapter 3. Birth-and-Death Queueing Systems: Exponential Models; 3.1 Introduction; 3.2 The Simple M/M/1 Queue; 3.3 System with Limited Waiting Space: The M/M/1/K Model; 3.4 Birth-and-Death Processes: Exponential Models; 3.5 The M/M/oo Model: Exponential Model with an Infinite Number of Servers; 3.6 The Model M/M/c; 3.7 The M/M/c/c System: Eriang Loss Model; 3.8 Model with Finite Input Source
3.9 Transient Behavior3.10 Transient-State Distribution of the M/M/c Model; 3.11 Multichannel Queue with Ordered Entry; Problems and Complements; References and Further Reading; Chapter 4. Non-Birth-and-DeathQueueingSystems: Markovian Models; 4.1 Introduction; 4.2 Bulk Queues; 4.3 Queueing Models with Bulk (Batch) Service; 4.4 M/M(a,b)/1: Transient-State Distribution; 4.5 Two-Server Model: M/M(a,b)/2; 4.6 The M/M((l,b)/c Model; Problems and Complements; References and Further Reading; Chapter 5. Network of Queues; 5.1 Network of Markovian Queues; 5.2 Channels in Series or Tandem Queues
5.3 Jackson Network5.4 Closed Markovian Network (Gordon and Newell Network); 5.5 Cyclic Queue; 5.6 BCMP Networks; 5.7 Concluding Remarks; Problems and Complements; References and Further Reading; Chapter 6. Non-Markovian Queueing Systems; 6.1 Introduction; 6.2 Embedded-Markov-Chain Technique for the System with Poisson Input; 6.3 TheM/6/1 Model: Pollaczek-Khinchin Formula; 6.4 Busy Period; 6.5 Queues with Finite Input Source: M/G/l//M System; 6.6 System with Limited Waiting Space. M/G/l/K System; 6.7 The M+/G/l Model with Bulk Arrival; 6.8 The M/G(a,b)/l Model with General Bulk Service
6.9 The G/M/l Model6.10 Multiserver Model; 6.11 Queues with Markovian Arrival Process; Problems and Complements; References and Further Reading; Chapter 7. Queues with General Arrival Time and Service-Time Distributions; 7.1 The G/G/1 Queue with General Arrival Time and Service-Time Distributions; 7.2 Mean and Variance of Waiting Time tV; 7.3 Queues with Batch Arrivals G(X)/G/1; 7.4 The Output Process of a G /G / 1 System; 7.5 Some Bounds for the G/ G / 1 System; Problems and Complements; References and Further Reading; Chapter 8. Miscellaneous Topics
8.1 Heavy-Traffic Approximation for Waiting-Time Distribution
Record Nr. UNINA-9910817548303321
Medhi J (Jyotiprasad)  
Amsterdam ; ; Boston, : Academic Press, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic processes [[electronic resource] /] / J. Medhi
Stochastic processes [[electronic resource] /] / J. Medhi
Autore Medhi J (Jyotiprasad)
Edizione [3rd ed.]
Pubbl/distr/stampa Tunbridge Wells, UK, : New Academic Science Limited, c2012
Descrizione fisica 1 online resource (518 p.)
Soggetto topico Stochastic processes
Probabilities
Soggetto genere / forma Electronic books.
ISBN 1-906574-65-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Cover""; ""Preface to the International Edition ""; ""Contents ""; ""Chapter 1 Random Variables and Stochastic Processes ""; ""1.1 Generating Functions ""; ""1.1.1 Introduction""; ""1.1.2 Probability Generating Function: Mean and Variance""; ""1.1.3 Sum of (a Fixed Number of) Random Variables""; ""1.1.4 Sum of a Random Number of Discrete Random Variables (Stochastic Sum)""; ""1.1.5 Generating Function of Bivariate Distribution""; ""1.2 Laplace Transform ""; ""1.2.1 Introduction""; ""1.2.2 Some Important Properties of Laplace Transforms: see Appendix A1""; ""1.2.3 Inverse Laplace Transform""
""1.3 Laplace (Stieltjes) Transform of a Probability Distribution or of a Random Variable """"1.3.1 Definition""; ""1.3.2 The Laplace Transform of the Distribution Function in Terms of that of the Density Function ""; ""1.3.3 Mean and Variance in Terms of (Derivatives of) L.T.""; ""1.3.4 Some Important Distributions""; ""1.3.5 Three Important Theorems""; ""1.3.6 Geometric and Exponential Distributions""; ""1.3.7 Sum of a Random Number of Continuous Random Variables Stochastic Î?m""; ""1.3.8 Randomization and Mixtures""; ""1.4 Classification of Distributions ""
""1.4.1 Hazard (or Failure) Rate Function""""1.4.2 Mean Residual Life (MRL)""; ""1.4.3 Further Properties""; ""1.5 Stochastic Processes: An Introduction ""; ""1.5.1 Specification of Stochastic Processes""; ""Exercises ""; ""References ""; ""Chapter 2 Markov Chains ""; ""2.1 Definition and Examples ""; ""2.1.1 Transition Matrix (or Matrix of Transition Probabilities""; ""2.1.2 Order of a Markov Chain""; ""2.1.3 Markov Chains as Graphs""; ""2.2 Higher Transition Probabilities ""; ""2.3 Generalisation of Independent Bernoulli Trials: Sequence of Chain-Dependent Trials ""
""2.3.1 Markov-Bernoulli Chain""""2.3.2 Correlated Random Walk ""; ""2.4 Classification of States and Chains ""; ""2.4.1 Communication Relations""; ""2.4.2 Class Property""; ""2.4.3 Classification of Chains""; ""2.4.4 Classification of States: Transient and Persistent (Recurrent) States""; ""2.5 Determination of Higher Transition Probabilities ""; ""2.5.1 Aperiodic Chain: Limiting Behaviour""; ""2.6 Stability of a Markov System ""; ""2.6.1 Computation of the Equilibrium Probabilities""; ""2.7 Graph Theoretic Approach ""
""2.8 Markov Chain With Denumerable Number of States (Or Countable State Space) """"2.9 Reducible Chains ""; ""2.9.1 Finite Reducible Chains with a Single Closed Class""; ""2.9.2 Chain with One Single Class of Persistent Non-null Aperiodic States""; ""2.9.3 Absorbing Markov Chains""; ""2.9.4 Extension: Reducible Chain with one Closed Class of Persistent Aperiodic States""; ""2.9.5 Further Extension: Reducible Chains with more than one Closed Class""; ""2.10 Statistical Inference for Markov Chains ""; ""2.10.1 M.L. Estimation and Hypothesis Testing""
""2.10.2 Determination of the Order of a Markov Chain by MAICE""
Record Nr. UNINA-9910461916903321
Medhi J (Jyotiprasad)  
Tunbridge Wells, UK, : New Academic Science Limited, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic processes [[electronic resource] /] / J. Medhi
Stochastic processes [[electronic resource] /] / J. Medhi
Autore Medhi J (Jyotiprasad)
Edizione [3rd ed.]
Pubbl/distr/stampa Tunbridge Wells, UK, : New Academic Science Limited, c2012
Descrizione fisica 1 online resource (518 p.)
Soggetto topico Stochastic processes
Probabilities
ISBN 1-906574-65-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Cover""; ""Preface to the International Edition ""; ""Contents ""; ""Chapter 1 Random Variables and Stochastic Processes ""; ""1.1 Generating Functions ""; ""1.1.1 Introduction""; ""1.1.2 Probability Generating Function: Mean and Variance""; ""1.1.3 Sum of (a Fixed Number of) Random Variables""; ""1.1.4 Sum of a Random Number of Discrete Random Variables (Stochastic Sum)""; ""1.1.5 Generating Function of Bivariate Distribution""; ""1.2 Laplace Transform ""; ""1.2.1 Introduction""; ""1.2.2 Some Important Properties of Laplace Transforms: see Appendix A1""; ""1.2.3 Inverse Laplace Transform""
""1.3 Laplace (Stieltjes) Transform of a Probability Distribution or of a Random Variable """"1.3.1 Definition""; ""1.3.2 The Laplace Transform of the Distribution Function in Terms of that of the Density Function ""; ""1.3.3 Mean and Variance in Terms of (Derivatives of) L.T.""; ""1.3.4 Some Important Distributions""; ""1.3.5 Three Important Theorems""; ""1.3.6 Geometric and Exponential Distributions""; ""1.3.7 Sum of a Random Number of Continuous Random Variables Stochastic Î?m""; ""1.3.8 Randomization and Mixtures""; ""1.4 Classification of Distributions ""
""1.4.1 Hazard (or Failure) Rate Function""""1.4.2 Mean Residual Life (MRL)""; ""1.4.3 Further Properties""; ""1.5 Stochastic Processes: An Introduction ""; ""1.5.1 Specification of Stochastic Processes""; ""Exercises ""; ""References ""; ""Chapter 2 Markov Chains ""; ""2.1 Definition and Examples ""; ""2.1.1 Transition Matrix (or Matrix of Transition Probabilities""; ""2.1.2 Order of a Markov Chain""; ""2.1.3 Markov Chains as Graphs""; ""2.2 Higher Transition Probabilities ""; ""2.3 Generalisation of Independent Bernoulli Trials: Sequence of Chain-Dependent Trials ""
""2.3.1 Markov-Bernoulli Chain""""2.3.2 Correlated Random Walk ""; ""2.4 Classification of States and Chains ""; ""2.4.1 Communication Relations""; ""2.4.2 Class Property""; ""2.4.3 Classification of Chains""; ""2.4.4 Classification of States: Transient and Persistent (Recurrent) States""; ""2.5 Determination of Higher Transition Probabilities ""; ""2.5.1 Aperiodic Chain: Limiting Behaviour""; ""2.6 Stability of a Markov System ""; ""2.6.1 Computation of the Equilibrium Probabilities""; ""2.7 Graph Theoretic Approach ""
""2.8 Markov Chain With Denumerable Number of States (Or Countable State Space) """"2.9 Reducible Chains ""; ""2.9.1 Finite Reducible Chains with a Single Closed Class""; ""2.9.2 Chain with One Single Class of Persistent Non-null Aperiodic States""; ""2.9.3 Absorbing Markov Chains""; ""2.9.4 Extension: Reducible Chain with one Closed Class of Persistent Aperiodic States""; ""2.9.5 Further Extension: Reducible Chains with more than one Closed Class""; ""2.10 Statistical Inference for Markov Chains ""; ""2.10.1 M.L. Estimation and Hypothesis Testing""
""2.10.2 Determination of the Order of a Markov Chain by MAICE""
Record Nr. UNINA-9910785886903321
Medhi J (Jyotiprasad)  
Tunbridge Wells, UK, : New Academic Science Limited, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic processes [[electronic resource] /] / J. Medhi
Stochastic processes [[electronic resource] /] / J. Medhi
Autore Medhi J (Jyotiprasad)
Edizione [3rd ed.]
Pubbl/distr/stampa Tunbridge Wells, UK, : New Academic Science Limited, c2012
Descrizione fisica 1 online resource (518 p.)
Soggetto topico Stochastic processes
Probabilities
ISBN 1-906574-65-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Cover""; ""Preface to the International Edition ""; ""Contents ""; ""Chapter 1 Random Variables and Stochastic Processes ""; ""1.1 Generating Functions ""; ""1.1.1 Introduction""; ""1.1.2 Probability Generating Function: Mean and Variance""; ""1.1.3 Sum of (a Fixed Number of) Random Variables""; ""1.1.4 Sum of a Random Number of Discrete Random Variables (Stochastic Sum)""; ""1.1.5 Generating Function of Bivariate Distribution""; ""1.2 Laplace Transform ""; ""1.2.1 Introduction""; ""1.2.2 Some Important Properties of Laplace Transforms: see Appendix A1""; ""1.2.3 Inverse Laplace Transform""
""1.3 Laplace (Stieltjes) Transform of a Probability Distribution or of a Random Variable """"1.3.1 Definition""; ""1.3.2 The Laplace Transform of the Distribution Function in Terms of that of the Density Function ""; ""1.3.3 Mean and Variance in Terms of (Derivatives of) L.T.""; ""1.3.4 Some Important Distributions""; ""1.3.5 Three Important Theorems""; ""1.3.6 Geometric and Exponential Distributions""; ""1.3.7 Sum of a Random Number of Continuous Random Variables Stochastic Î?m""; ""1.3.8 Randomization and Mixtures""; ""1.4 Classification of Distributions ""
""1.4.1 Hazard (or Failure) Rate Function""""1.4.2 Mean Residual Life (MRL)""; ""1.4.3 Further Properties""; ""1.5 Stochastic Processes: An Introduction ""; ""1.5.1 Specification of Stochastic Processes""; ""Exercises ""; ""References ""; ""Chapter 2 Markov Chains ""; ""2.1 Definition and Examples ""; ""2.1.1 Transition Matrix (or Matrix of Transition Probabilities""; ""2.1.2 Order of a Markov Chain""; ""2.1.3 Markov Chains as Graphs""; ""2.2 Higher Transition Probabilities ""; ""2.3 Generalisation of Independent Bernoulli Trials: Sequence of Chain-Dependent Trials ""
""2.3.1 Markov-Bernoulli Chain""""2.3.2 Correlated Random Walk ""; ""2.4 Classification of States and Chains ""; ""2.4.1 Communication Relations""; ""2.4.2 Class Property""; ""2.4.3 Classification of Chains""; ""2.4.4 Classification of States: Transient and Persistent (Recurrent) States""; ""2.5 Determination of Higher Transition Probabilities ""; ""2.5.1 Aperiodic Chain: Limiting Behaviour""; ""2.6 Stability of a Markov System ""; ""2.6.1 Computation of the Equilibrium Probabilities""; ""2.7 Graph Theoretic Approach ""
""2.8 Markov Chain With Denumerable Number of States (Or Countable State Space) """"2.9 Reducible Chains ""; ""2.9.1 Finite Reducible Chains with a Single Closed Class""; ""2.9.2 Chain with One Single Class of Persistent Non-null Aperiodic States""; ""2.9.3 Absorbing Markov Chains""; ""2.9.4 Extension: Reducible Chain with one Closed Class of Persistent Aperiodic States""; ""2.9.5 Further Extension: Reducible Chains with more than one Closed Class""; ""2.10 Statistical Inference for Markov Chains ""; ""2.10.1 M.L. Estimation and Hypothesis Testing""
""2.10.2 Determination of the Order of a Markov Chain by MAICE""
Record Nr. UNINA-9910828625103321
Medhi J (Jyotiprasad)  
Tunbridge Wells, UK, : New Academic Science Limited, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui