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1

Whitt, Ward. Stochastic-Process Limits. Springer New York, 2002. http://dx.doi.org/10.1007/b97479.

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2

Timo, Gottschalk, and Hoffmann Alex C, eds. Stochastic modelling in process technology. Elsevier, 2007.

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3

Stochastic-process limits: An introduction to stochastic-process limits and their application to queues. Springer, 2002.

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4

M, Wiper Mike, and Ríos Insua David 1964-, eds. Bayesian analysis of stochastic process models. Wiley, 2012.

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5

Froot, Kenneth. Stochastic process switching: Some simple solutions. National Bureau of Economic Research, 1989.

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6

O'Donnell, Joseph. The Stochastic process of interest rates. University College Dublin, 1990.

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7

Poshtaru, A. I. Probabilitate, procese aleatoare și aplicații. Știința, 1991.

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8

Larsen, Curtis E. Random process simulation for stochastic fatigue analysis. National Aeronautics and Space Administration, 1988.

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9

Larsen, Curtis E. Random process simulation for stochastic fatigue analysis. National Aeronautics and Space Administration, 1988.

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10

Centrum voor Wiskunde en Informatica (Amsterdam, Netherlands), ed. Counting process systems: Identification and stochastic realization. Centrum voor Wiskunde en Informatica, 1990.

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11

Zjajo, Amir. Stochastic Process Variation in Deep-Submicron CMOS. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7781-1.

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12

Segovia-Hernández, Juan Gabriel, and Fernando Israel Gómez-Castro. Stochastic Process Optimization using Aspen Plus®. CRC Press, 2017. http://dx.doi.org/10.1201/9781315155739.

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13

Aalen, Odd O. Survival and event history analysis: A process point of view. Springer, 2008.

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14

Aalen, Odd O. Survival and event history analysis: A process point of view. Springer, 2008.

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15

Aalen, Odd O. Survival and event history analysis: A process point of view. Springer, 2008.

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16

Bieda, Bogusław. Stochastic Analysis in Production Process and Ecology Under Uncertainty. Springer Berlin Heidelberg, 2012.

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17

Bieda, Bogusław. Stochastic Analysis in Production Process and Ecology Under Uncertainty. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28056-6.

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18

Foundations of the prediction process. Clarendon Press, 1992.

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19

El-Rayes, Amani Helmi. Analysing performance of open queueing systems with stochastic process algebras. University of Birmingham, 2000.

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20

Shedler, G. S. Regenerative stochastic simulation. Academic Press, 1993.

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21

Jacobsen, Claus Godske. Fiscal stabilisation policy and stochastic process switching: Modelling the Danish experience. typescript, 1993.

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22

Koski, Timo. Some metric order of entropy-properties of an infinite-dimensional Ornstein-Uhlenbeck process. Åbo akademi, 1985.

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23

Donatelli, S. A comparison of performance evaluation process algebra and generalized stochastic Petri nets. Computer Systems Group, University of Edinburgh, 1994.

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24

Point process models of cavity radiation and detection: A statistical treatment of photon population point processes. Griffin, 1988.

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25

Zi-Kuan, Liu, ed. Deterministic and stochastic time delay systems. Birkhäuser, 2002.

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26

Weber, Axel. Stochastic process switching and intervention in exchange rate target zones: Empirical evidence from the EMS. Centre for Economic Policy Research, 1991.

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27

Gupta, Narain. An expanded database structure for a class of multi-period, stochastic mathematical programming models for process industries. Indian Institute of Management, 2013.

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28

Ziebart, David A. The relationship between trading activity and the reliability of beta estimates: An application of the subordinated Stochastic process hypothesis. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1985.

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29

Østerbø, Olav. Mathematical modelling and analysis of communication networks: Transient characteristics of traffic processes and models for end-to-end delay and delay-jitter. NTNU, 2003.

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30

Gupta, Narain. A multi-period two stage stochastic programming based decision support system for strategic planning in process industries: A case of an integrated iron and steel company. Indian Institute of Management, 2014.

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31

Lipt͡ser, R. Sh. Statistics of random processes. 2nd ed. Edited by Shiri͡aev Alʹbert Nikolaevich. Springer, 2001.

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32

Whitt, Ward. Stochastic-Process Limits. Springer, 2002.

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33

Basu, A. K. Introduction to Stochastic Process. Alpha Science International, Ltd, 2003.

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34

Stochastic Modelling in Process Technology. Elsevier, 2007. http://dx.doi.org/10.1016/s0076-5392(07)x8053-6.

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35

Basu, A. K., and A. K. Basu. An Introduction to Stochastic Process. Narosa, 2002.

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36

Whitt, Ward. Stochastic-Process Limits: An Introduction To Stochastic-Process Limits And Their Application To Queues. Springer, 2011.

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37

Ruggeri, Fabrizio, David Insua, and Mike Wiper. Bayesian Analysis of Stochastic Process Models. Wiley & Sons, Incorporated, John, 2012.

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38

Ruggeri, Fabrizio, David Insua, and Mike Wiper. Bayesian Analysis of Stochastic Process Models. Wiley & Sons, Incorporated, John, 2012.

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39

Ruggeri, Fabrizio, David Insua, and Mike Wiper. Bayesian Analysis of Stochastic Process Models. Wiley & Sons, Incorporated, John, 2012.

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40

Al-Aomar, Raid, Edward J. Williams, and Onur M. Ulgen. Process Simulation Using WITNESS. Wiley & Sons, Incorporated, John, 2015.

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41

Al-Aomar, Raid, Edward J. Williams, and Onur M. Ulgen. Process Simulation Using WITNESS. Wiley & Sons, Incorporated, John, 2015.

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42

The Geometric Process and Its Applications. World Scientific Publishing Company, 2007.

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43

Survival And Event History Analysis A Process Point Of View. Springer, 2010.

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44

Stochastic Process Variation In Deepsubmicron Cmos Circuits And Algorithms. Springer, 2013.

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45

Habib, Salehi, and United States. National Aeronautics and Space Administration., eds. An example of a harmonizable process whose spectral domain is not complete. National Aeronautics and Space Administration, 1989.

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46

Bieda, Bogusław. Stochastic Analysis in Production Process and Ecology Under Uncertainty. Springer, 2014.

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47

Stochastic Analysis In Production Process And Ecology Under Uncertainty. Springer, 2012.

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48

Rubin, Yoram. Applied Stochastic Hydrogeology. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195138047.001.0001.

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Abstract:
Stochastic Subsurface Hydrogeology is the study of subsurface, geological heterogeneity, and its effects on flow and transport process, using probabilistic and geostatistical concepts. This book presents a rational, systematic approach for analyzing and modeling subsurface heterogeneity, and for modeling flow and transport in the subsurface, and for prediction and decision-making under uncertainty. The book covers the fundamentals and practical aspects of geostatistics and stochastic hydrogeology, coupling theoretical and practical aspects, with examples, case studies and guidelines for applications, and provides a summary and review of the major developments in these areas.
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49

Stephen, Gilmore, and University of Edinburgh. Computer Systems Group., eds. Specifications in stochastic process algebra for a robot control problem. Computer Systems Group, University of Edinburgh, 1994.

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50

Stewart, Chris. An unobserved components approach to assessing a series' stochastic process. Kingston University, Faculty of Human Sciences, 1996.

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