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      <record key="001" att1="001" value="179604" att2="179604">001   179604</record>
      <field key="037" subkey="x">englisch</field>
      <field key="050" subkey="x">Buch</field>
      <field key="076" subkey="">Formalwissenschaft</field>
      <field key="100" subkey="">Meyn, Sean</field>
      <field key="104" subkey="a">Tweedie, Richard L.</field>
      <field key="108" subkey="b">Glynn, Peter W. (Pr.)</field>
      <field key="331" subkey="">Markov Chains and Stochastic Stability</field>
      <field key="403" subkey="">2. Ed.</field>
      <field key="410" subkey="">Cambridge, New York, Melbourne</field>
      <field key="412" subkey="">Cambridge University Press</field>
      <field key="425" subkey="">2009</field>
      <field key="433" subkey="">xxviii, 594 pp.</field>
      <field key="517" subkey="c">from the Table of Contents: Preface; Communication and regeneration: Heuristics; Markov models; Transition probabilities;</field>
      <field key="Irr" subkey="e">ducibility; Pseudo-atoms; Topology and continuity; The nonlinear state space model; Stability structures: Transience and</field>
      <field key="rec" subkey="u">rrence; Harris and topological recurrence; The existence of  Pi; Drift and regularity; Invariance and tightness; Convergence:</field>
      <field key="Erg" subkey="o">dicity; f-Ergodicity and f-regularity; Geometric ergodicity; V-Uniform ergodicity; Sample paths and limit theorems;</field>
      <field key="Pos" subkey="i">tivity; Generalized classification criteria; Epilogue to the second edition; Appendices: Mud maps; Testing for stability;</field>
      <field key="Glo" subkey="s">sary of model assumptions; Some mathematical background; Bibliography; Indexes;</field>
      <field key="540" subkey="">978-0-521-73182-9</field>
      <field key="544" subkey="">20037-A</field>
      <field key="700" subkey="b">519</field>
      <field key="700" subkey="b">Probabilities and applied mathematics</field>
      <field key="710" subkey="">Markov processes</field>
    </SEQUENTIAL>
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