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Books on the topic 'Students – Rating of – Mathematical models'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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1

Optimale Arbeitslosenversicherung und Experience Rating. Köln: Institut für Wirtschaftspolitik an der Universität zu Köln, 2008.

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2

Jeffries, Clark. Mathematical modeling in ecology: A workbook for students. Boston: Birkhäuser, 1989.

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3

Jeffries, Clark. Mathematical modeling in ecology: A workbook for students. Boston: Birkhauser, 1989.

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4

P, Baker George. Subjective performance measures in optimal incentive contracts. Cambridge, MA: National Bureau of Economic Research, 1993.

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5

Fender, Ingo. CDO rating methodology: Some thoughts on model risk and its implications. Basel, Switzerland: Bank for International Settlements, 2004.

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6

Ehlers, Lars. Respecting priorities when assigning students to schools. Montréal, Québec, Canada: CIREQ, Université de Montréal, 2006.

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7

Credit rating modelling by neural networks. New York: Nova Science Publishers, 2010.

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8

Kurosawa, Yoshitaka. Capital market and rating agencies in Asia: Structuring a credit risk rating model. Hauppauge, N.Y: Nova Science Publishers, 2011.

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9

Anders, George J. Rating ofelectric cables: Ampacity computations for transmission, distribution, and industrial applications. New York: IEEE Press, 1997.

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10

Lesh, Richard. Modeling Students' Mathematical Modeling Competencies: ICTMA 13. Boston, MA: Springer Science+Business Media, LLC, 2010.

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11

Armentrout, Donald J. Habitat suitability rating system for desert bighorn sheep in the Basin and Range Province. Springfield, Va. (NTIS, 5285 Port Royal Road, Springfield, VA 22161): Denver, CO (PMDS, D-558 B, P.O. Box 25047, Denver, CO 80225-0047), 1988.

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12

Mathematical methods using Mathematica: For students of physics and related fields. New York: Springer-Verlag, 2003.

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13

René, Weber. Prognosemodelle zur Vorhersage der Fernsehnutzung: Neuronale Netze, Tree-Modelle und klassische Statistik im Vergleich. München: R. Fischer, 2000.

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14

System dynamics for engineering students: Concepts and applications. Amsterdam: Academic Press, 2010.

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15

G, Holliday Michael, ed. Practical statistics for students: An introductory text. London: P. Chapman Publ., 1996.

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16

Herring, Bradley. The effect of state community rating regulations on premiums and coverage in the individual health insurance market. Cambridge, Mass: National Bureau of Economic Research, 2006.

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17

Anders, George J. Rating of electric power cables: Ampacity computations for transmission, distribution, and industrial applications. New York: Institute of Electrical and Electronics Engineers, 1997.

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18

Izzi, Luisa. Basel III credit rating systems: An applied guide to quantitative and qualitative models. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan, 2012.

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19

Hanushek, Eric Alan. Does special education raise academic achievement for students with disabilities? Cambridge, MA: National Bureau of Economic Research, 1998.

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20

Ferrell, George T. Ten-year risk-rating systems for California red fir and white fir: Development and use. [Berkeley, Calif.]: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1989.

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21

Ferrell, George T. Ten-year risk-rating systems for California red fir and white fir: Development and use. [Berkeley, Calif.]: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1989.

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22

Ferrell, George T. Ten-year risk-rating systems for California red fir and white fir: Development and use. [Berkeley, Calif.]: U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1989.

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23

Hanushek, Eric Alan. Teachers, schools and academic achievement. Cambridge, MA: National Bureau of Economic Research, 1998.

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24

Prendergast, Canice. Favoritism in organizations. Cambridge, MA: National Bureau of Economic Research, 1993.

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25

Ehrenberg, Ronald G. Do teachers' race, gender, and ethnicity matter?: Evidence from NELS88. Cambridge, MA: National Bureau of Economic Research, 1994.

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26

K, Shim Jae, Hartman Stephen, and Siegel Joel G, eds. Schaum's quick guide to business formulas: 201 decision-making tools for business, finance, and accounting students. New York: McGraw-Hill, 1998.

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27

Education, Ontario Ministry of. Mathematics, grade 6: A report for educators. [Toronto]: The Ministry, 1990.

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28

Şahin, Ayşegül. The incentive effects of higher education subsidies on student effort. [New York, N.Y.]: Federal Reserve Bank of New York, 2004.

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29

Devine, Marion. Standard grade mathematics achievements and competences, grades 3 to 6. Edinburgh: Scottish Council for Research in Education, 1994.

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30

Hanushek, Eric Alan. Do students care about school quality?: Determinants of dropout behavior in developing countries. Cambridge, Mass: National Bureau of Economic Research, 2006.

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31

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the basis of the passive experiment, predictive model of quantitative estimation of the copper content in the matte based on fuzzy logic. Of interest to students, postgraduates, teachers of technical universities, engineers and research workers who use mathematical methods for processing of data of laboratory and industrial experiments.
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32

Bamberg, Paul G. A course in mathematics for students of physics. Cambridge: Cambridge University Press, 1991.

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33

Shlomo, Sternberg, ed. A course in mathematics for students of physics. Cambridge: Cambridge University Press, 1988.

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34

Education, Ontario Ministry of. Provincial standards: Mathematics : grades 3, 6, and 9. [Toronto]: The Ministry, 1993.

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35

No Child Left Behind: Can growth models ensure improved education for all students? : hearing before the Committee on Education and the Workforce, U.S. House of Representatives, One Hundred Ninth Congress, second session, July 27, 2006. Washington: U.S. G.P.O., 2006.

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36

Bonyun, Rosemary. Part scores and questionnaire responses: System-wide student evaluation in grade 9A and 9G mathematics, 1989-90. Ottawa: Ottawa Board of Education, 1991.

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37

Eivers, Eemer. Ready for tomorrow's world?: The competencies of Ireland's 15-year-olds in PISA 2006 : summary report. Dublin: Prepared for the Dept. of Education and Science by the Educational Research Centre, 2007.

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38

DeSimone, Jeff. Fraternity membership and binge drinking. Cambridge, Mass: National Bureau of Economic Research, 2006.

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39

Robertson, C. Preliminary risk rating for mountain pine beetle infestation of lodgepole pine forests over large areas with ordinal regression modelling. Victoria, B.C: Pacific Forestry Centre, 2009.

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40

Jacka, Noreen Wilson. Scarborough's response to the Ministry mathematic benchmarks. Scarborough, Ont: Program Dept., Research Centre, Scarborough Board of Education, 1993.

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41

Sokol'skaya, Elena, and Boris Kochurov. Geoecology of the city: models of environmental quality. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1205961.

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The monograph examines the features of studying the geoecological state of urbanized territories, reveals the use of integrated assessment and mapping in urban diagnostics, and finds a solution to geoecological problems on the example of world cities that are leading in the rating for quality of life. The components of an information and analytical model of the urban environment for assessing the geoecological situation are described; an algorithm for a comprehensive study of the geoecological state aimed at an adequate assessment of the quality of the urban environment. Special attention is paid to the methodology of geoecological assessment of the quality of the urban environment based on multifactor modeling, which allows making recommendations for improving the comfort of living of the population. It is intended for a wide range of specialists in the field of geoecology of the city, and can also be used as a textbook for students of environmental, natural-geographical, engineering specialties.
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42

Cook, Philip J. Smoke signals: Adolescent smoking and school continuation. Cambridge, Mass: National Bureau of Economic Research, 2006.

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43

Education, Ontario Ministry of. Mathematics: The Ontario curriculum exemplars, grade 8. Toronto, Ont: Ministry of Education, 2002.

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44

Education, Ontario Ministry of. Mathematics: Grade 8 : a report for educators. [Toronto]: The Ministry, 1992.

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45

Education, Ontario Ministry of. Mathematics: The Ontario curriculum exemplars, grade 7. Toronto, Ont: Ministry of Education, 2002.

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46

Education, Ontario Ministry of. Mathematics: The Ontario curriculum exemplars, grade 1. Toronto, Ont: Ministry of Education, 2002.

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47

Education, Ontario Ministry of. Mathematics: The Ontario curriculum exemplars, grade 5. Toronto, Ont: Ministry of Education, 2002.

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48

Mathematics: The Ontario curriculum, grades 1-8. [Toronto]: Ontario Ministry of Education, 2005.

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49

Education, Ontario Ministry of. Mathematics: Grade 8 : a report card for Ontario. Toronto, Ont: Ontario Ministry of Education, 1991.

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50

Education, Ontario Ministry of. Mathematics: Intermediate and Senior Divisions, Part Three: Grades 7 and 8, Grades 9 and 10, Advanced Level, Grades 11 and 12, Advanced Level, Ontario Academic Courses. S.l: s.n, 1985.

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