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1.3 Further Studies
• In similar contents of such books, we recommend to read the
  books [12, 13] for a deeper understanding. There were
  contained many examples of stochastic processes in various
  fields of applications [14, 15] and in reliability systems [16,17].
• The names of stochastic processes such as stationary process,
  Gaussian process, martingales, branching process, and so on,
  appeared [18].
• For more applications of stochastic processes, there were
  [19–21] for queuing theory, [22] for insurance and finance,
  and [20] for computer applications.
• As other text books, refer to recent published books [31–33].
  For more further and recent studies of reliability, edited books
  and hand books [34–36] would be advisable to look through.
• In Appendix A and B, we present Laplace and Laplace- Stieltjes
  transforms and make answers to selected problems.
references
• 12. Karlin S, Taylor HM (1975) A first course in
      stochastic processes. Academic Press, New York
• 13. Tijms HC (2003) A first course in stochastic
      models. Wiley, Chichester
• 14. Ross SM (2000) Introduction to probability
      models. Academic Press, San Diego
• 15. Bhat UN, Miller GK (2002) Elements of applied
      stochastic processes. Wiley, Hoboken, NJ
• 16. Beichelt FE, Fatti LP (2002) Stochastic processes
      and their applications. CRC Press, Boca Raton
• 17. Beichelt FE (2006) Stochastic processes in science, engineering and
      finance. Chapman & Hall, Boca Raton
• 18. Prabhu NU (2007) Stochastic processes. World Scientific, Singapore
• 19. Bhat UN, Basawa IV (1992) Queeing and related models. Oxford
      University Press, Oxford
• 20. Trivedi KS (2002) Probabilty and statistics with reliability, queueing and
       computer science applications. Wiley, New York
• 21. Stewart WJ (2009) Probability, Markov chains, queues, and simulation.
      Princeton University Press, Princeton
• 22. Rolski T, Schmidli H, Schmidt V, Teugels J (1999) Stochastic processes
      for insurance and finance. Wiley, Chichester

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Stokastik

  • 1. 1.3 Further Studies • In similar contents of such books, we recommend to read the books [12, 13] for a deeper understanding. There were contained many examples of stochastic processes in various fields of applications [14, 15] and in reliability systems [16,17]. • The names of stochastic processes such as stationary process, Gaussian process, martingales, branching process, and so on, appeared [18]. • For more applications of stochastic processes, there were [19–21] for queuing theory, [22] for insurance and finance, and [20] for computer applications.
  • 2. • As other text books, refer to recent published books [31–33]. For more further and recent studies of reliability, edited books and hand books [34–36] would be advisable to look through. • In Appendix A and B, we present Laplace and Laplace- Stieltjes transforms and make answers to selected problems.
  • 3. references • 12. Karlin S, Taylor HM (1975) A first course in stochastic processes. Academic Press, New York • 13. Tijms HC (2003) A first course in stochastic models. Wiley, Chichester • 14. Ross SM (2000) Introduction to probability models. Academic Press, San Diego • 15. Bhat UN, Miller GK (2002) Elements of applied stochastic processes. Wiley, Hoboken, NJ • 16. Beichelt FE, Fatti LP (2002) Stochastic processes and their applications. CRC Press, Boca Raton
  • 4. • 17. Beichelt FE (2006) Stochastic processes in science, engineering and finance. Chapman & Hall, Boca Raton • 18. Prabhu NU (2007) Stochastic processes. World Scientific, Singapore • 19. Bhat UN, Basawa IV (1992) Queeing and related models. Oxford University Press, Oxford • 20. Trivedi KS (2002) Probabilty and statistics with reliability, queueing and computer science applications. Wiley, New York • 21. Stewart WJ (2009) Probability, Markov chains, queues, and simulation. Princeton University Press, Princeton • 22. Rolski T, Schmidli H, Schmidt V, Teugels J (1999) Stochastic processes for insurance and finance. Wiley, Chichester