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1

Shahram, Sarkani, ed. Stochastic analysis of structural and mechanical vibrations. Upper Saddle River, N.J: Prentice Hall, 1997.

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2

Computational analysis of randomness in structural mechanics. Boca Raton, Fla: CRC Press, 2009.

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3

Stochastic structural dynamics: Application of finite element methods. Chichester, West Sussex: Wiley, 2014.

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4

Shahram, Sarkani, ed. Random vibrations: Analysis of structural and mechanical systems. Amsterdam: Elsevier, 2004.

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5

Pawar, Prashant M. Structural health monitoring using genetic fuzzy systems. London: Springer, 2011.

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6

Matěj, Bílý, and Bukoveczky Juraj, eds. Random processes: Measurement, analysis, and simulation. Amsterdam: Elsevier, 1988.

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7

Institute for Social and Economic Change, ed. Liberalisation and efficiency of Indian commercial banks: A stochastic frontier analysis. Bangalore: Institute for Social and Economic Change, 2006.

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8

Brock, William A. A dynamic structural model for stock return volatility and trading volume. Cambridge, MA: National Bureau of Economic Research, 1995.

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9

A, Voronov A., ed. Parametricheskiĭ sintez stokhasticheskikh sistem s uchetom trebovaniĭ nadezhnosti. Moskva: "Nauka", 1992.

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10

International Conference on Structural Safety and Reliability (8th 2001 Newport Beach, Calif.). Structural safety and reliability: Proceedings of the 8th International Conference on Structural Safety and Reliability, ICOSSAR '01, Newport Beach, California, USA, 17-22 June 2001 / edited by R.B. Corotis, G.I. Schuëller, M. Shinozuka. Lisse, The Netherlands: A.A. Balkema, 2001.

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11

Maymon, Giora. Some engineering applications in random vibrations and random structures. Reston, Va: American Institute of Aeronautics and Astronautics, 1998.

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12

Euromech Colloquium (250th 1989 Como, Italy). Nonlinear structural systems under random conditions: Proceedings of the European Mechanics Colloquium, Euromech 250, Como, Italy, June 19-23, 1989. Amsterdam: Elsevier, 1990.

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13

International Conference on Vulnerability and Risk Analysis and Management (1st 2011 Hyattsville, Md.). Vulnerability, uncertainty, and risk: Analysis, modeling and management : proceedings of the First International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2011) and the Fifth International Symposium on Uncertainty Modeling and Analysis (ISUMA 2011) : April 11-13, 2011, Hyattsville, Maryland. Reston, Va: American Society of Civil Engineers, 2011.

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14

M, Ayyub Bilal, ASCE Council on Disaster Risk Management, and International Symposium on Uncertainty Modeling and Analysis (5th : 2011 : Hyattsville, Md.), eds. Vulnerability, uncertainty, and risk analysis, modeling and management: Proceedings of the first International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2011) and the fifth International Symposium on Uncertainty Modeling and Analysis (ISUMA 2011) : April 11-13, 2011, Hyattsville, Maryland. Reston, Va: American Society of Civil Engineers, 2011.

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15

Christian, Soize, ed. Mathematics of random phenomena: Random vibrations of mechanical structures. Dordrecht: D. Reidel Pub. Co., 1986.

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16

International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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17

International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. Tecumseh, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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18

T, Ariaratnam S., Schuëller G. I, Elishakoff Isaac, and Lin Y. K. 1923-, eds. Stochastic structural dynamics. Elsevier Applied Science, 1988.

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19

R, Shier Douglas, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Structural factoring approach for analyzing stochastic networks. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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20

Lin, Huan. Stochastic analysis of a nonlinear ocean structural system. 1994.

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21

To, Cho W. S. Stochastic Structural Dynamics: Application of Finite Element Methods. Wiley & Sons, Incorporated, John, 2013.

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22

Fabio, Casciati, and Roberts J. B, eds. Mathematical models for structural reliability analysis. Boca Raton: CRC Press, 1996.

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23

Ganguli, Ranjan, and Prashant M. Pawar. Structural Health Monitoring Using Genetic Fuzzy Systems. Springer, 2011.

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24

Bucher, Christian. Computational Analysis of Randomness in Structural Mechanics: Structures and Infrastructures Book Series, Vol. 3. Taylor & Francis Group, 2009.

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25

Bucher, Christian. Computational Analysis of Randomness in Structural Mechanics: Structures and Infrastructures Book Series, Vol. 3. Taylor & Francis Group, 2009.

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26

Bucher, Christian. Computational Analysis of Randomness in Structural Mechanics: Structures and Infrastructures Book Series, Vol. 3. Taylor & Francis Group, 2009.

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27

M, Ayyub Bilal, Guran A, and Haldar Achintya, eds. Uncertainty modeling in vibration, control and fuzzy analysis of structural systems. Singapore: World Scientific, 1997.

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28

Shi, Peng, Ligang Wu, and Xiaojie Su. Fuzzy Control Systems with Time-Delay and Stochastic Perturbation: Analysis and Synthesis. Springer, 2014.

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29

Shi, Peng, Ligang Wu, and Xiaojie Su. Fuzzy Control Systems with Time-Delay and Stochastic Perturbation: Analysis and Synthesis. Springer, 2016.

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30

Ayyub, Bilal M., Ardéshir Guran, and Achintya Haldar. Uncertainty Modeling in Vibration, Control and Fuzzy Analysis of Structural Systems. WORLD SCIENTIFIC, 1997. http://dx.doi.org/10.1142/3472.

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31

Jalali, Ali A., Craig S. Sims, and Parviz Famouri. Reduced Order Systems (Lecture Notes in Control and Information Sciences). Springer, 2006.

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32

T, Ariaratnam S., Schuëller Gerhart I, Elishakoff Isaac, and Lin Y. K. 1923-, eds. Stochastic structural dynamics: Progress in theory and applications. London: Elsevier Applied Science, 1988.

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33

missing, name, T. Ariaratnam, and G. I. Schueller. Stochastic Structural Dynamics: Progress in Theory and Applications. Chapman & Hall/CRC, 1988.

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34

Lin, Y. K. Stochastic Structural Mechanics: U.S. Austria Joint Seminar, May 4-5 1987 (Lecture Notes in Engineering). Springer, 1987.

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35

1923-, Lin Y. K., Schuëller Gerhart I, and U.S.-Austria Joint Seminar on Stochastic Structural Mechanics (1987 : Boca Raton, Fla.), eds. Stochastic structural mechanics: U.S.-Austria Joint Seminar, May 4-5, 1987, Boca Raton, Florida, USA. Berlin: Springer-Verlag, 1987.

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36

Time Series Econometrics: Volume 2: Structural Change. USA: World Scientific Publishing Co Pte Ltd, 2019.

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37

Cacko, Jozef, Matej Bily, and Juraj Bukoveczky. Random Processes: Measurement, Analysis, and Simulation (Fundamental Studies in Engineering). Elsevier Publishing Company, 1987.

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38

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets). Springer, 2005.

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39

Nondeterministic Mechanics. Springer, 2012.

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40

Elishakoff, Isaac, and Christian Soize. Nondeterministic Mechanics. Elishakoff Isaac, 2014.

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41

C, Chamis C., and Lewis Research Center, eds. A methodology for evaluating the reliability and risk of structures under complex service environments. [Cleveland, Ohio: NASA Lewis Research Center, 1990.

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42

Schenk, Christian A., and Gerhart I. Schuëller. Uncertainty Assessment of Large Finite Element Systems. Springer, 2010.

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43

Uncertainty Assessment of Large Finite Element Systems (Lecture Notes in Applied and Computational Mechanics). Springer, 2005.

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44

Elishakoff, I., and F. Casciati. Nonlinear Structural Systems Under Random Conditions: Proceedings of the European Mechanics Colloquium, Euromech 250, Como, Italy, June 19-23, 1989. Elsevier Science Ltd, 1990.

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45

S, Cakmak A., ed. Ground motion and engineering seismology. Amsterdam: Elsevier, co-published with Computational Mechanics, 1987.

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46

S, Cakmak A., and International Conference on Soil Dynamics and Earthquake Engineering (3rd : 1987 : Princeton University), eds. Ground motion and engineering seismology. Amsterdam: Elsevier, 1987.

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47

N, Brewer David, Murthy Pappu L. N, and NASA Glenn Research Center, eds. Life prediction issues in thermal/environmental barrier coatings in ceramic matrix composites. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.

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48

Goorha, Prateek. Modernization Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.266.

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Abstract:
Modernization theory studies the process of social evolution and the development of societies. There are two levels of analysis in classical modernization theory: the microcosmic evaluations of modernization, which focuses on the componential elements of social modernization; and the macrocosmic studies of modernization focused on the empirical trajectories and manifest processes of the modernization of nations and their societies, economies, and polities. However, there are two key sources of problems with classical modernization theory. The first is the determinism implied in the logic of modernization, while the second relates to the specific development patterns that modernization theory must contend with. A contemporary theory on modernization relates structural change at a higher level of analysis to instrumental action at a lower level of analysis, doing so within a stochastic framework rather than the deterministic one that classical modernization theory implied. In addition, the refocused attention of social scientists on the process of development has led to a renewed interest in the characterization of the relationship between economic development and democratization. The transformation of knowledge into economic development can be examined by looking at the weightless economy—a collection of “weightless” knowledge products such as software, the Internet, and electronic databases. It is closely connected to a weightless political concept called the credible polity, which is a government that creates institutions that credibly protect property rights and are also transparent in their functioning to all members of its society.
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