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Books on the topic 'Modelli statistici'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Ceschia, Mario. La previsione delle precipitazioni a scala mensile: Confronto tra modelli statistici e a reti neurali, il caso di Udine. Udine: Forum, 2000.

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2

Stapleton, James H. Linear statistical models. New York: Wiley, 1995.

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3

Linear statistical models. 2nd ed. Hoboken, N.J: Wiley, 2009.

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4

Boldin, M. V. Sign-based methods in linear statistical models. Providence, R.I: American Mathematical Society, 1997.

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5

Die Analyse fehlspezifizierter Modelle mit latenten Variablen. Frankfurt am Main: P. Lang, 1996.

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6

Susan, Milton J., ed. A first course in the theory of linear statistical models. Boston: PWS-KENT Pub. Co., 1991.

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7

Poli͡ak, I. I. Mnogomernye statisticheskie modeli klimata. Leningrad: Gidrometeoizdat, 1989.

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8

Trofimov, V. P. Logicheskai͡a︡ struktura statisticheskikh modeleĭ. Moskva: "Finansy i statistika", 1985.

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9

Bowerman, Bruce L. Linear statistical models: An applied approach. 2nd ed. Boston: PWS-Kent Pub. Co., 1990.

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10

T, O'Connell Richard, and Dickey David A, eds. Linear statistical models: An applied approach. Boston: Duxbury Press, 1986.

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11

Lehner, Hansjörg. Rekursive Schätzer im linearen ökonometrischen Modell. Konstanz: Hartung-Gorre, 1989.

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12

1956-, Allenby Greg M., and McCulloch Robert E, eds. Bayesian statistics and marketing. Hoboken, NJ: Wiley, 2005.

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13

Bulinski, Alexander, ed. Encyclopaedia of Applied Statistics: Using SPSS, Statistica and Matlab: Using SPSS, Statistica and Matlab (3 Volumes). USA: Koros Press Limited, 2015.

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14

R, Thompson James. Simulation: A modeler's approach. New York: Wiley, 2000.

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15

Saari, Henn. Ein statistisches Modell der Vornamenwahl. Tallinn: Estnische Akademie der Wissenschaften, 1990.

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16

Reimers, Hans-Eggert. Analyse kointegrierter Variablen mittels vektorautoregressiver Modelle. Heidelberg: Physica-Verlag, 1991.

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17

Association, Bangladesh Statistical, ed. Proceedings of the Eighth National Statistical Conference on Statistics in Development Planning. Dhaka: Bangladesh Statistical Association, 2004.

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18

Farebrother, R. W. Visualizing statistical models and concepts. New York: Marcel Dekker, 2002.

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19

Perskiĭ, I︠U︡ K. Ierarkhicheskiĭ analiz ėkonomiki: Metody i modeli. Ekaterinburg: Institut ėkonomiki UrO RAN, 2008.

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20

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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21

Spatial statistics and modeling. New York: Springer, 2010.

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22

Zhulali, Kadri. Modelet statistikore në analizen ekonomike. Tiranë: Universiteti I Tiranës Enver Hoxha, Fakulteti I Ekonomisë, 1985.

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23

Khuri, André I. Statistical tests in mixed linear models. New York: Wiley, 1998.

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24

1955-, Chow Shein-Chung, ed. Advanced linear models: Theory and applications. New York: M. Dekker, 1994.

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25

Mallios, William S. Statistical modeling: Applications in contemporary issues. Ames: Iowa State University Press, 1989.

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26

Zuev, V. E. Statisticheskie modeli temperatury i gazovykh komponentov atmosfery. Moskva: Gidrometeoizdat, 1986.

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27

Varaksin, A. N. Statisticheskie modeli regressionnogo tipa v ėkologii i medit͡sine. Ekaterinburg: Izd-vo Goshchit͡skiĭ, 2006.

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28

Fuchs, Johann. Zu- und Abgangsrechnung für die Erwerbstätigen nach Branchen: Ein Modell zur Fortschreibung sektoraler Beschäftigungsstrukturen nach Alter, Geschlecht und Stellung im Beruf. Nürnberg: Institut für Arbeitsmarkt- und Berufsforschung der Bundesanstalt für Arbeit, 1992.

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29

Fuchs, Johann. Zu- und Abgangsrechnung für die Erwerbstätigen nach Branchen: Ein Modell zur Fortschreibung sektoraler Beschäftigungsstrukturen nach Alter, Geschlecht und Stellung im Beruf. Nürnberg: Institut für Arbeitsmarkt- und Berufsforschung der Bundesanstalt für Arbeit, 1992.

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30

service), SpringerLink (Online, ed. Demand Planning: Processi, metodologie e modelli matematici per la gestione della domanda commerciale. Milano: Springer-Verlag Italia, Milano, 2008.

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31

Levchenko, Boris. Criteria for testing hypotheses about uniformity. Application manual. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/986695.

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The guide discusses the use of statistical criteria focused on the testing of hypotheses about uniformity of laws, which belong to the analyzed sample, of the homogeneous medium (about equality of the mathematical expectations), about the homogeneity of variance (equality of variances of compared samples). The disadvantages and advantages of various criteria are indicated, and the application of criteria in conditions of violation of standard assumptions is considered. Tables containing percentage points and statistical distribution models necessary for the correct application of the criteria are provided. This publication describes a broader set of criteria. Constructed models of marginal distributions of statistics for some sample criteria of law uniformity are proposed. Following the recommendations will ensure the correctness and validity of statistical conclusions when analyzing data. It is intended for specialists who are more or less faced with the issues of statistical data analysis, processing the results of experiments, and using statistical methods to analyze various aspects and trends of the surrounding reality. It will be useful for engineers, researchers, specialists in various fields (doctors, biologists, sociologists, economists, etc.), University teachers, graduate students and students.

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32

R, Thompson James. Empirical model building. New York: Wiley, 1989.

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33

Michael, Hills, ed. Statistical models in epidemiology. Oxford: Oxford University Press, 1993.

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34

Retherford, Robert D. Statistical models for causal analysis. New York: Wiley, 1993.

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35

Statistical models. Cambridge, U.K: Cambridge University Press, 2003.

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36

Manuki͡an, S. A. Faktornai͡a struktura i modeli ėtnopoliticheskikh kharakteristik studenchestva goroda Erevana. Erevan: Izdatelʹskiĭ dom "Lusabat͡s", 2002.

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37

Osiewalski, Jacek. Bayesowska estymacja i predykcja dla jednorównaniowych modeli ekonometrycznych. Kraków: Akademia Ekonomiczna w Krakowie, 1991.

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38

Stokhasticheskie modeli sovershennogo gaza iz konechnogo chisla chastit͡s. Moskva: Vychislitelʹnyĭ t͡sentr AN SSSR, 1988.

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39

Levin, B. R. Veroi͡a︡tnostnye modeli i metody v sistemakh svi͡a︡zi i upravlenii͡a︡. Moskva: "Radio i svi͡a︡zʹ", 1985.

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40

Moosbrugger, Helfried. Regressions- und Varianzanalysen auf der Basis des allgemeinen linearen Modells. Bern: H. Huber, 1987.

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41

Stage-wise adaptive designs. Hoboken, N.J: John Wiley & Sons, 2009.

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42

Lewis, Margaret. Applied statistics for economists. New York: Routledge, 2011.

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43

service), SpringerLink (Online, ed. Medical Applications of Finite Mixture Models. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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44

Tikhookeanskiĭ okeanologicheskiĭ institut (Rossiĭskai︠a︡ akademii︠a︡ nauk), ed. Sovremennoe osadkoobrazovanie v okrainnykh mori︠a︡kh Vostoka Azii: Statisticheskie modeli. Vladivostok: Dalʹnauka, 1997.

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45

Sipavičienė, Audra. Tarptautinė gyventojų migracija Lietuvoje: Modelio kaita ir situacijos analizė. Vilnius: Tarptautinė migracijos organizacija, 2006.

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46

author, Madsen Henrik 1955, and Nielsen Jan Nygaard author, eds. Statistics for finance. Boca Raton, FL: CRC Press, Taylor & Francis Group, 2015.

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47

La struttura gerarchica del territorio: Un modello per l'analisi delle elezioni politiche 2006 nei comuni italiani. Roma: Aracne, 2007.

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48

Fahrmeir, Ludwig, Stefan Lang, and Thomas Kneib. Regression: Modelle, Methoden und Anwendungen. Springer, 2009.

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49

Visualizing Statistical Models and Concepts (Statistics: a Series of Textbooks and Monogrphs). CRC, 2002.

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50

Statistical and Computational Pharmacogenomics (Interdisciplinary Statistics). Chapman & Hall/CRC, 2008.

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