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1

G, Lilley D., ed. Flowfield modeling and diagnostics. Tunbridge Wells, Kent: Abacus Press, 1985.

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2

Guli͡aev, Vasiliĭ Anatolʹevich. Vychislitelʹnai͡a diagnostika. Kiev: Izd-vo "Nauk. dumka", 1992.

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3

Byshli︠a︡go, S. A. Primenenie sistemnykh modeleĭ v sot︠s︡ialʹno-psikhologicheskoĭ diagnostike organizat︠s︡ionnoĭ kulʹtury: Monografii︠a︡. Irkutsk: Irkutskiĭ gosudarstvennyĭ universitet, 2008.

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4

Engineers, Society of Automotive, and International Fall Fuels & Lubricants Meeting & Exposition (1996 : San Antonio, Tex.), eds. Modeling and diagnostics in diesel engines. Warrendale, PA: Society of Automotive Engineers, 1996.

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5

Engineers, Society of Automotive, and International Fall Fuels & Lubricants Meeting & Exposition (1999 : Toronto, Ont.), eds. Modeling and diagnostics in diesel engines. Warrendale, PA: Society of Automotive Engineers, 1999.

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6

Engineers, Society of Automotive, and International Fall Fuels & Lubricants Meeting & Exposition (1999 : Toronto, Ont.), eds. Modeling and diagnostics in SI engines. Warrendale, PA: Society of Automotive Engineers, 1999.

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7

Salstein, David A. Diagnostic studies with GLA fields. [Cambridge, MA]: Atmospheric and Environmental Research, Inc., 1997.

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8

Palagin, A. A. Modelirovanie funkt͡s︡ionalʹnogo sostoi͡a︡nii͡a︡ i diagnostika turboustanovok. Kiev: Nauk. dumka, 1991.

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9

Boĭko, V. M. Metody opticheskoĭ diagnostiki v aėrofizicheskom ėksperimente. Novosibirsk: In-t teoreticheskoĭ i prikladnoĭ mekhaniki im. S.A. Khristianovicha SO RAN, 2009.

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10

Boĭko, V. M. Metody opticheskoĭ diagnostiki v aėrofizicheskom ėksperimente. Novosibirsk: In-t teoreticheskoĭ i prikladnoĭ mekhaniki im. S.A. Khristianovicha SO RAN, 2009.

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11

Vollrath, Thomas L. Diagnostic indexes of U.S. bilateral trade. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, 1992.

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12

Vollrath, Thomas L. Diagnostic indexes of U.S. bilateral trade. Washington, DC (1301 New York Ave., NW, Washington 20005-4788): U.S. Dept. of Agriculture, Economic Research Service, 1992.

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13

Vollrath, Thomas L. Diagnostic indexes of U.S. bilateral trade. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, 1992.

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14

United States. Dept. of Agriculture. Economic Research Service, ed. Diagnostic indexes of U.S. bilateral trade. Washington, DC (1301 New York Ave., NW, Washington 20005-4788): U.S. Dept. of Agriculture, Economic Research Service, 1992.

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15

United States. Dept. of Agriculture. Economic Research Service, ed. Diagnostic indexes of U.S. bilateral trade. Washington, DC (1301 New York Ave., NW, Washington 20005-4788): U.S. Dept. of Agriculture, Economic Research Service, 1992.

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16

Engineers, Society of Automotive, and International Fall Fuels & Lubricants Meeting & Exposition (1996 : San Antonio, Tex.), eds. Diagnostics and modeling in SI engines. Warrendale, PA: Society of Automotive Engineers, 1996.

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17

Bayesian methods in diagnostic medicine. Boca Raton: Taylor & Francis, 2007.

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18

Wang, Zhaoyang. Modeling and Diagnostics of Polymer Electrolyte Fuel Cells. New York, NY: Springer Science+Business Media, LLC, 2010.

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19

Namitokov, K. K. Matematicheskoe modelirovanie prot͡s︡essov v gazorazri͡a︡dnoĭ plazme. Alma-Ata: Izd-vo "Nauka" Kazakhskoĭ SSR, 1988.

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20

Degti︠a︡rev, A. I. Mussony v sisteme globalʹnoĭ t︠s︡irkuli︠a︡t︠s︡ii atmosfery: Diagnostika i modelirovanie. Moskva: Planeta, 2008.

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21

Kaźmierczak, Jan. Zastosowanie liniowych modeli procesów losowych do prognozowania w diagnostyce maszyn. Gliwice: Politechnika Śląska, 1989.

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22

Bagret︠s︡ov, S. A. Diagnostika sot︠s︡ialʹno-psikhologicheskikh kharakteristik malʹkh grupp s vneshnim statusom. Sankt-Peterburg: Lanʹ, 1999.

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23

Ellis, Randall P. Diagnostic cost group (DCG) and hierarchical coexisting conditions (HCC) models for Medicare risk adjustment. Waltham, MA: Health Economics Research, 1996.

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24

Voronin, M. I. Analiz i diagnostika ėkonomicheskogo sostoi︠a︡nii︠a︡ stroitelʹnykh organizat︠s︡iĭ na rynke: Uchebnoe posobie. Moskva: Gos. universitet upr., 1999.

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25

Kantor, B. I͡A. Noninvasive diagnostics of the left heart: Biomechanical disturbances. Commack, N.Y: Nova Science Publishers, 1995.

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26

Introductory medical imaging. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2009.

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27

Society of Toxicologic Pathologists (U.S.), Armed Forces Institute of Pathology (U.S.), and American Registry of Pathology, eds. Standardized system of nomenclature and diagnostic criteria: Guides for toxicologic pathology. [Martinsville, N.J: Taylor & Frances, 1996.

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28

The mathematics of medical imaging: A beginner's guide. New York: Springer, 2010.

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29

Human eye imaging and modeling. Boca Raton, FL: Taylor & Francis/CRC, 2012.

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30

Ntziachristos, Vasilis. Textbook of in vivo imaging in vertebrates. Chichester, West Sussex: J. Wiley, 2007.

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31

institut, Moskovskiĭ ėnergeticheskiĭ. Shumovye i degradat︠s︡ionnye prot︠s︡essy v poluprovodnikovykh priborakh: Metrologii︠a︡, diagnostika, tekhnologii︠a︡, uchebnyĭ prot︠s︡ess : materialy dokladov Mezhdunarodnogo nauchno-metodicheskogo seminara, Moskva, 1-5 dekabri︠a︡ 2003 g. = Noise and degradation processes in semiconductor devices : metrology, diagnostic, technology, cirriculum [i.e., curriculum]. Moskva: Moskovskiĭ ėnerg. in-t (tekhn. universitet), 2004.

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32

Chereshnev, V. A., and A. I. Tatarkin. Sot︠s︡ialʹno-ėkonomicheskie riski: Diagnostika prichin i prognoznye st︠s︡enarii neĭtralizat︠s︡ii. Ekaterinburg: In-t ėkonomiki UrO RAN, 2010.

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33

Chereshnev, V. A., and A. I. Tatarkin. Sot︠s︡ialʹno-ėkonomicheskie riski: Diagnostika prichin i prognoznye st︠s︡enarii neĭtralizat︠s︡ii. Ekaterinburg: In-t ėkonomiki UrO RAN, 2010.

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34

Kan, Hongjun. Does the Medicare Principal Inpatient Diagnostic Cost Group model adequately adjust for selection bias? Santa Monica, Calif: RAND Graduate School, 2002.

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35

Ramos Calonge, Helmuth Geofre. Metodología para diagnosticar la habitabilidad en la vivienda social. Bogotá. Colombia: Universidad de La Salle. Ediciones Unisalle, 2012. http://dx.doi.org/10.19052/9789585136205.

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El trabajo tiene como eje central la habitabilidad -el confort- en vivienda dirigida a sectores de bajos ingresos en Bogotá, conceptual izando la vivienda como el génesis y unidad básica del concepto hábitat. Este proyecto pretende ser una invitación a trabajar en estas necesidades que tiene el ser humano, como son el requerimiento de luz, de ventilación y humedad controlada y de niveles de ruido admisibles, dentro del rango considerado saludable. Para tratar de solucionar un problema, primero hay que detectarlo y conocerlo, y luego perseguir la solución adecuada; la investigación se ocupa en conocer las condiciones de iluminación, ruido e higrotermicidad en la vivienda, a partir de un modelo metodológico propuesto para diagnosticar la situación de los tres parámetros. Las consecuencias para las personas y la vivienda misma se enumeran y se pretende bocetar una serie de posibles soluciones -no paliativas- para estos efectos, desde el diseño de la vivienda; estas soluciones planteadas se tornan en potenciales temáticas de investigaciones.
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36

Vlad, Simona. International Conference on Advancements of Medicine and Health Care through Technology: 29th August – 2nd September 2011, Cluj-Napoca, Romania. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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37

Statistical evaluation of diagnostic performance: Topics in ROC analysis. Boca Raton: Taylor & Francis, 2012.

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38

Practical steps for informing literacy instruction: A diagnostic decision-making model. Newark, Del: International Reading Association, 1995.

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39

Ravikanth, Malladi, ed. Geometric methods in bio-medical image processing. Berlin: Springer, 2002.

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40

A, Xu, Polyshchuk V, and United States. National Aeronautics and Space Administration., eds. Development of a model based technique for gear diagnostics using the Wigner-Ville method: Final report on NASA project NAG 3-1376. [Washington, DC: National Aeronautics and Space Administration, 1997.

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41

International Commission on Radiation Units and Measurements., ed. Phantoms and computational models in therapy, diagnosis, and protection. Bethesda, Md., U.S.A: International Commission on Radiation Units and Measurements, 1992.

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42

Schulentwicklung: Modelle, Diagnostik, Beratung. Hohengehren, Deutschland: Schneider Verlag GmbH, 2007.

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43

Flores Díaz, Emmanuel, and Lilián González Chévez. Diagnóstico participativo comunitario. Tepetzingo, Morelos. Universidad Autónoma del Estado de Morelos, 2020. http://dx.doi.org/10.30973/2020/diagnostico-tepetzingo.

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En este libro se presenta un diagnóstico participativo comunitario de la localidad de Tepetzingo, municipio de Emiliano Zapata, Morelos. Fue elaborado con el apoyo de los estudiantes de la licenciatura de Comunicación y Gestión Interculturales de la UAEM y construido a través de una estrategia metodológica participativa basada en cartografías sociales, observación participante y entrevistas en profundidad. En ese proceso participó tanto la población adulta como de adolescentes de la Telesecundaria Modesto Rangel.
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44

Resch, Franz, and Peter Parzer. Entwicklungspsychopathologie und Psychotherapie: Kybernetische Modelle zur funktionellen Diagnostik bei Jugendlichen. Springer, 2015.

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45

Resch, Franz, and Peter Parzer. Entwicklungspsychopathologie und Psychotherapie: Kybernetische Modelle Zur Funktionellen Diagnostik Bei Jugendlichen. Springer, 2015.

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46

Lorenz, Louisa. Diagnostik Von Anpassungsstörungen: Ein Fragebogen Zum Neuen ICD-11-Modell. Springer Fachmedien Wiesbaden GmbH, 2016.

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47

Meder, Björn, and Ralf Mayrhofer. Diagnostic Reasoning. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.23.

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This chapter discusses diagnostic reasoning from the perspective of causal inference. The computational framework that provides the foundation for the analyses—probabilistic inference over graphical causal structures—can be used to implement different models that share the assumption that diagnostic inferences are guided and constrained by causal considerations. This approach has provided many critical insights, with respect to both normative and empirical issues. For instance, taking into account uncertainty about causal structures can entail diagnostic judgments that do not reflect the empirical conditional probability of cause given effect in the data, the classic, purely statistical norm. The chapter first discusses elemental diagnostic inference from a single effect to a single cause, then examines more complex diagnostic inferences involving multiple causes and effects, and concludes with information acquisition in diagnostic reasoning, discussing different ways of quantifying the diagnostic value of information and how people decide which information is diagnostically relevant.
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48

Dvorak, Ivan, and Arun V. Holden. Mathematical Approaches to Brain Functioning Diagnostics. Wiley & Sons, Incorporated, John, 1992.

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49

Growth Curve Models With Statistical Diagnostics. Springer, 2002.

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50

Growth Curve Models And Statistical Diagnostics. Springer, 2011.

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