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101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aStochastic processes$b[electronic resource] /$fJ. Medhi
205   $a3rd ed.
210   $aTunbridge Wells, UK $cNew Academic Science Limited$dc2012
215   $a1 online resource (518 p.)
300   $aDescription based upon print version of record.
311   $a1-906574-30-8 
320   $aIncludes bibliographical references and indexes.
327   $a""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""
327   $a""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 I??m""; ""1.3.8 Randomization and Mixtures""; ""1.4 Classification of Distributions ""
327   $a""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 ""
327   $a""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 ""
327   $a""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""
327   $a""2.10.2 Determination of the Order of a Markov Chain by MAICE""
606   $aStochastic processes
606   $aProbabilities
615  0$aStochastic processes.
615  0$aProbabilities.
700   $aMedhi$b J$g(Jyotiprasad)$059460
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910828625103321
996   $aStochastic processes$9329340
997   $aUNINA