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Thematische Bibliographien / Statistical behavior of device / Bücher

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Bücher zum Thema „Statistical behavior of device“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 2. Februar 2022

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1

Nash, Franklin R. Estimating device reliability: Assessment of credibility. Boston: Kluwer Academic Publishers, 1993.

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2

S, Subramanian, und Subramanian S. The deprivation distribution profile: A graphical device for comparing alternative regimes of multidimensional poverty. Chennai: Madras Institute of Development Studies, 2009.

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3

Chaos, scattering, and statistical mechanics. Cambridge, U.K: Cambridge University Press, 1998.

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4

Mendoza, Meyra Sebello. Pricing behavior in Philippine corn markets: Implications for market efficiency. Washington, D.C: International Food Policy Research Institute, 1995.

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5

Center for the Study of Language and Information (U.S.), Hrsg. Postverbal behavior. Stanford, Calif: CSLI, 2002.

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6

An introduction to chaos in nonequilibrium statistical mechanics. Cambridge: Cambridge University Press, 1999.

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7

J, Krupnick Alan, und Harrington Winston, Hrsg. Rules in the making: A statistical analysis of regulatory agency behavior. Washington, D.C: Resources for the Future, 1986.

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8

Employee-driven systems for safe behavior: Integrating behavioral and statistical methodologies. New York: Van Nostrand Reinhold, 1995.

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9

Shahtahmasebi, Said. Conceptualizing behavior: A practical guide to data analysis. Hauppauge, N.Y: Nova Science Publishers, 2009.

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10

Shahtahmasebi, Said. Conceptualizing behavior: A practical guide to data analysis. Hauppauge, N.Y: Nova Science Publishers, 2009.

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11

Shahtahmasebi, Said. Conceptualizing behavior: A practical guide to data analysis. Hauppauge, N.Y: Nova Science Publishers, 2009.

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12

Klages, Rainer. Microscopic chaos, fractals and transport in nonequilibrium statistical mechanics. Hackensack, N.J: World Scientific, 2007.

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13

Chow, Sy-Miin. Statistical methods for modeling human dynamics: An interdisciplinary dialogue. New York: Routledge, 2010.

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14

Chow, Sy-Miin. Statistical methods for modeling human dynamics: An interdisciplinary dialogue. New York: Routledge, 2010.

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15

Schmittlein, David C. Truth in concentration in the land of 80/20 laws. Cambridge, Mass: Marketing Science Institute, 1992.

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16

Tohwa University International Conference on Statistical Physics (3rd 1999 Fukuoka, Japan). Statistical physics: Third Tohwa University International Conference, Fukuoka, Japan, 8-12 November 1999. Herausgegeben von Tokuyama Michio und Stanley H. Eugene 1941-. New York: AIP, 2000.

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17

Berlinger, Marcel. A Methodology to Model the Statistical Fracture Behavior of Acrylic Glasses for Stochastic Simulation. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34330-9.

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18

The field theoretic renormalization group in critical behavior theory and stochastic dynamics. London: CRC Press, 2004.

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19

Peter, Schmidt. Predicting recidivism using survival models. New York: Springer-Verlag, 1988.

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20

Sargent, Robert G. An investigation of finite sample behavior of confidence interval estimation procedures in computer simulation. Monterey, Calif: Naval Postgraduate School, 1991.

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21

Brock, William A. Nonlinear dynamics, chaos, and instability: Statistical theory and economic evidence. Cambridge, Mass: MIT Press, 1991.

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22

Bart, Jonathan. Sampling and statistical methods for behavioral ecologists. Cambridge: Cambridge University Press, 1998.

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23

Foundations of behavioral research. 3. Aufl. New York: Holt, Rinehart and Winston, 1986.

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24

1949-, Lee Howard B., Hrsg. Foundations of behavioral research. 4. Aufl. Fort Worth, TX: Harcourt College Publishers, 2000.

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25

Conference on Complex Stochastic Systems and Engineering (1993 University of Leeds). Complex stochastic systems and engineering: Based on the proceedings of a Conference on Complex Stochastic Systems and Engineering organized by the Institute of Mathematics and Its Applications and the Royal Statistical Society and held at the University of Leeds in September 1993. Oxford: Clarendon Press, 1995.

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26

Naumov, Vladimir. Consumer behavior. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014653.

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Annotation:

The book describes the basic issues concerning consumer behavior on the basis of the simulation of the decision-making process on buying behavior of customers in the sales area of the store and shopping Internet sites. The classification of models of consumer behavior, based on research in the area of economic, social and psychological theories and empirical evidence regarding decision-making by consumers when purchasing the goods, including online stores. Methods of qualitative and quantitative research of consumer behavior, fundamentals of statistical processing of empirical data. Attention is paid to the processes of consumers ' perception of brands (brands) and advertising messages, the basic rules for the display of goods (merchandising) and its impact on consumer decision, recommendations on the use of psychology of consumer behavior in personal sales. Presents an integrated model of consumer behavior in the Internet environment, the process of perception of the visitor of the company, the factors influencing consumer choice of goods online. Is intended for preparation of bachelors in directions of preparation 38.03.02 "Management", 38.03.06 "trading business" and can be used for training of bachelors in direction of training 43.03.01 "Service", and will also be useful for professionals working in the field of marketing, distribution and sales.

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27

Shyness: How normal behavior became a sickness. New Haven: Yale University Press, 2007.

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28

Barabási, Albert-László. Bursts: The hidden pattern behind everything we do. New York, N.Y: Dutton, 2010.

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29

Baron, Larry. Four theories of rape in American society: A state-level analysis. New Haven: Yale University Press, 1989.

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30

Baron, Larry. Four theories of rape in American society: A state-level analysis. New Haven: Yale U. P., 1989.

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31

Bursts: The hidden pattern behind everything we do. New York, N.Y: Dutton, 2010.

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32

Gaba, Anil. Using survey data in inferences about purchase behaviour. Fontainebleau, France: INSEAD, 1990.

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33

L, Klimontovich I͡U. Turbulent motion and the structure of chaos: A new approach to the statistical theory of open systems. Dordrecht: Kluwer Academic Publishers, 1991.

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34

Ruelle, David. Chaotic evolution and strange attractors: The statistical analysis of time series for deterministic nonlinear systems. Cambridge: Cambridge University Press, 1989.

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35

Schmelzer, J. Aggregation phenomena in complex systems. Weinheim: Wiley-VCH, 1999.

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36

Colloquium of Theoretical and Quantitative Geography (7th 1991 Stockholm). Modelling space and networks: Progress in theoretical and quantitative geography : proceedings from the 7th Colloquium of Theoretical and Quantitative Geography, Stockholm, September 1991. Umeå: Umeå universitet, 1997.

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37

Berdichevskiĭ, V. L. Thermodynamics of chaos and order. Harlow, Essex, England: Longman Scientific & Technical, 1997.

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38

Korolev, V. I︠U︡. Veroi︠a︡tnostno-statisticheskiĭ analiz khaoticheskikh prot︠s︡essov s pomoshchi︠u︡ smeshannykh gaussovskikh modeleĭ: Dekompozit︠s︡ii︠a︡ volatilʹnosti finansovykh indeksov i turbulentnoĭ plazmy. Moskva: IPI RAN, 2007.

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39

Rossiter, John R. Measurement for the social sciences: The C-OAR-SE method and why it must replace psychometrics. New York: Springer, 2011.

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40

Rossiter, John R. Measurement for the social sciences: The C-OAR-SE method and why it must replace psychometrics. New York: Springer, 2011.

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41

A comparison of probabilistic unfolding theories for paired comparisons data. Berlin: Springer-Verlag, 1990.

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42

Hoskins, Bryan L. Study of Movement Speeds Down Stairs. New York, NY: Springer New York, 2013.

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43

FH Science Day (2007 Wels, Austria). FH Science Day: Proceedings : 24th October 2007 : sessions-- simulation in mechanics and multiphysics, challenge biotechnology, logistics and supply chain management, operations management, consumer behavior in the digital age, integrated medical device technologies. Herausgegeben von Eidenberger Thomas und FH OÖ Forschungs & Entwicklungs GmbH. Aachen: Shaker, 2007.

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44

service), SpringerLink (Online, Hrsg. Social Self-Organization: Agent-Based Simulations and Experiments to Study Emergent Social Behavior. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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45

S, Kim Y., und Zachary W. W. 1935-, Hrsg. The physics of phase space: Nonlinear dynamics and chaos, geometric quantization, and Wigner function : proceedings of the First International Conference on the Physics of Phase Space, held at the University of Maryland, College Park, Maryland, May 20-23, 1986. Berlin: Springer-Verlag, 1987.

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46

Viswanathan, Gandhimohan M. The physics of foraging: An introduction to random searches and biological encounters. Cambridge: Cambridge University Press, 2011.

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47

NATO, Advanced Study Institute on Nonlinear Evolution (1987 Noto Italy). Nonlinear evolution and chaotic phenomena. New York: Plenum Press, 1988.

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48

Status through consumption: Dynamics of consuming in structured environments. Boston: Kluwer Academic Publishers, 2002.

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49

Tiwari, Sandip. Nanoscale Device Physics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198759874.001.0001.

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Annotation:

Nanoscale devices are distinguishable from the larger microscale devices in their specific dependence on physical phenomena and effects that are central to their operation. The size change manifests itself through changes in importance of the phenomena and effects that become dominant and the changes in scale of underlying energetics and response. Examples of these include classical effects such as single electron effects, quantum effects such as the states accessible as well as their properties; ensemble effects ranging from consequences of the laws of numbers to changes in properties arising from different magnitudes of the inter-actions, and others. These interactions, with the limits placed on size, make not just electronic, but also magnetic, optical and mechanical behavior interesting, important and useful. Connecting these properties to the behavior of devices is the focus of this textbook. Description of the book series: This collection of four textbooks in the Electroscience series span the undergraduate-to-graduate education in electrosciences for engineering and science students. It culminates in a comprehensive under-standing of nanoscale devices—electronic, magnetic, mechanical and optical in the 4th volume, and builds to it through volumes devoted to underlying semiconductor and solid-state physics with an emphasis on phenomena at surfaces and interfaces, energy interaction, and fluctuations; a volume devoted to the understanding of the variety of devices through classical microelectronic approach, and an engineering-focused understanding of principles of quantum, statistical and information mechanics. The goal is provide, with rigor and comprehensiveness, an exposure to the breadth of knowledge and interconnections therein in this subject area that derives equally from sciences and engineering. By completing this through four integrated texts, it circumvents what is taught ad hoc and incompletely in a larger number of courses, or not taught at all. A four course set makes it possible for the teaching curriculum to be more comprehensive in this and related advancing areas of technology. It ends at a very modern point, where researchers in the subject area would also find the discussion and details an important reference source.

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50

Nowaczyk, Ronald H. Introduction to Statistical Behavior Resources. Harcourt Brace College Publishers, 1997.

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