Relevant bibliographies by topics / Modelli Loglineari

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  2. Dissertations / Theses
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Academic literature on the topic 'Modelli Loglineari'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Modelli Loglineari"

1

Tóth, Géza, and Lóránt Dávid. "Az elérhetőség és az idegenforgalom kapcsolata." Tér és Társadalom 23, no. 3 (September 1, 2009): 45–62. http://dx.doi.org/10.17649/tet.23.3.1256.

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Az idegenforgalom és a közúti elérhetőség közötti kapcsolat vizsgálata meglehetősen sok módszertani problémát vet fel. Bár a kapcsolat látszólag evidensnek tűnhet, mégis a statisztikai mérés meglehetősen nehéz. így mi nem is a kapcsolat szorosságát igyekeztük vizsgálni, inkább sajátosságait, illetve összetevőit a magyarországi idegenforgalmi régiókban loglineáris modell segítségével. Elemzésünk második részében gravitációs modell segítségével próbáltuk megbecsülni a belföldi többnapos utak nagyságát, s hasonlítottuk össze a becsült és a valós értékeket. Ezzel igyekeztük feltárni a magyarországi belföldi turisztikai áramlatok sajátosságait
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2

Bodenmann, Balz R., and Kay W. Axhausen. "Schweizer Unternehmen – quo vaditis?" Raumforschung und Raumordnung 66, no. 4 (August 31, 2008): 318–32. http://dx.doi.org/10.1007/bf03183133.

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Kurzfassung In der vorliegenden Arbeit wird die Demographie der zwischen 1991 und 2006 im Handelsregister der Schweizer Kantone St. Gallen und beider Appenzell eingetragenen Unternehmen untersucht. Dabei geht es insbesondere um den Einfluss des Alters, der Größe, der Branche sowie des Standortes der Unternehmen auf deren Migrationsverhalten. Zudem wird auch die aus firmendemographischer Sicht zentrale räumliche Verteilung von Gründungen und Löschungen betrachtet. In einem logit-loglinearen Modell werden die entsprechenden Resultate zusammengefasst und quantifiziert. Das erwähnte Modell ermöglicht die Untersuchung und Schätzung der bisher vernachlässigten Wechselwirkungseffekte sowie der Effekte der einzelnen Einflussgrößen unter Berücksichtigung der Effekte aller anderen Faktoren im Modell. Die Modellschätzungen belegen, dass alle vier untersuchten Einflussbereiche das Verhalten der Unternehmen verändern. Der Vergleich der Variablen Alter und Größe zeigt zudem, dass das Alter in erster Linie das Migrationsverhalten beeinflusst. Die Größe der Unternehmen lässt indes vor allem die Löschungsrate sinken.
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Dobra, Adrian, and Reza Mohammadi. "Loglinear model selection and human mobility." Annals of Applied Statistics 12, no. 2 (June 2018): 815–45. http://dx.doi.org/10.1214/18-aoas1164.

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4

Kuo-Ping Chang and Yeah-Yuh Guh. "Piecewise loglinear frontier and log efficiency measures." Computers & Operations Research 22, no. 10 (December 1995): 1031–37. http://dx.doi.org/10.1016/0305-0548(94)00091-l.

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5

Minozzo, Marco, and Daniela Fruttini. "Loglinear spatial factor analysis: an application to diabetes mellitus complications." Environmetrics 15, no. 5 (July 21, 2004): 423–34. http://dx.doi.org/10.1002/env.675.

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6

Dobra, Adrian, Camilo Valdes, Dragana Ajdic, Bertrand Clarke, and Jennifer Clarke. "Modeling association in microbial communities with clique loglinear models." Annals of Applied Statistics 13, no. 2 (June 2019): 931–57. http://dx.doi.org/10.1214/18-aoas1229.

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Kass, Robert E., Ryan C. Kelly, and Wei-Liem Loh. "Assessment of synchrony in multiple neural spike trains using loglinear point process models." Annals of Applied Statistics 5, no. 2B (June 2011): 1262–92. http://dx.doi.org/10.1214/10-aoas429.

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Felipe, A., and L. Pardo. "New family of estimators for the loglinear model of quasi-independence based on power-divergence measures." Journal of Statistical Computation and Simulation 77, no. 5 (May 2007): 407–20. http://dx.doi.org/10.1080/10629360600890154.

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Dissertations / Theses on the topic "Modelli Loglineari"

1

Židanavičiūtė, Jurgita. "Kategorinių požymių priklausomybių struktūros statistinė analizė ir jos taikymas genetikoje." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100303_113252-41877.

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Disertacijoje nagrinėjami kai kurie kategorinių požymių statistinės analizės uždaviniai – ryšių struktūros bei modelio parinkimo ir jo parametrų įvertinimo uždaviniai. Disertacijos tikslas – pasiūlyti ryšių struktūros tarp kategorinių požymių įvertinimo metodą tuo atveju, kai turime didelės dimensijos duomenų rinkinius ir išsklaidytas dažnių lenteles, t. y. kai daugumoje dažnių lentelės ląstelių yra mažas stebinių skaičius arba jos yra tuščios. Ši situacija iliustruojama DNR genetinių sekų statistine analize. Disertaciją sudaro įvadas, trys pagrindiniai skyriai, išvados, naudotos literatūros ir autoriaus publikacijų sąrašai. Įvadiniame skyriuje pristatoma tiriamoji problema ir jos aktualumas, aprašomas tyrimų objektas, formuluojamas darbo tikslas ir uždaviniai, aptariamas darbo mokslinis naujumas bei ginamieji teiginiai. Įvado pabaigoje pateikiami autoriaus pranešimai konferencijose disertacijos tema. Pirmame skyriuje pateikta kategorinių požymių statistinėje analizėje taikomų matematinių modelių apžvalga, šių modelių ryšys su Markovo laukų teorija ir Gibso skirstiniu. Antrame skyriuje atlikta statistinė analizė kai kurioms realioms DNR sekoms Markovo eilės jose įvertinimui bei pirminių ir antrinių DNR grandinių vijų palyginimui: pasiūlyta kategorinių duomenų statistinės analizės metodika, pagrįsta specialia stebimų duomenų forma, apibendrintu logit modeliu bei savirankos testais. Trečiame skyriuje išsklaidytų dažnių lentelės problemai spręsti pasiūlytas semiparametrinis... [toliau žr. visą tekstą]
The dissertation considers some problems in the statistical analysis of categorical variables – the dependence structure between categorical variables and the problems of selecting and assessing the models for this structure. The aim of this dissertation is to propose the method to estimate dependence structure between multivariate categorical variables in case of sparse frequency tables and to apply the proposed method in the statistical analysis of genetic sequences. The thesis layout consists of introduction chapter, three main chapters, conclusions, list of authors’s publications and bibliography chapter. The introduction reveals the investigated problem, importance of the thesis and the object of research and describes the purpose and tasks of the dissertation, research methodology, scientific novelty, the practical significance and defended statements. The introduction end in presenting the author’s publications on the subject of the defended dissertation. In the first chapter of the dissertation various models available for describing the nature of the association between categorical variables are introduced and their link with Markov field theory and Gibbs distribution. In the second chapter the basic notions of DNA sequences and a special structure of genetic data is introduced. The logit models and Markov field theory are applied to assess the dependence structure (interactions) between DNA nucleotides and to test hypothesis about Markov order of these dependencies... [to full text]
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2

Židanavičiūtė, Jurgita. "Dependence Structure Analysis of Categorical Variables With Applications in Genetics." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100303_113305-80061.

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The dissertation considers some problems in the statistical analysis of categorical variables – the dependence structure between categorical variables and the problems of selecting and assessing the models for this structure. The aim of this dissertation is to propose the method to estimate dependence structure between multivariate categorical variables in case of sparse frequency tables and to apply the proposed method in the statistical analysis of genetic sequences. The thesis layout consists of introduction chapter, three main chapters, conclusions, list of authors’s publications and bibliography chapter. The introduction reveals the investigated problem, importance of the thesis and the object of research and describes the purpose and tasks of the dissertation, research methodology, scientific novelty, the practical significance and defended statements. The introduction end in presenting the author’s publications on the subject of the defended dissertation. In the first chapter of the dissertation various models available for describing the nature of the association between categorical variables are introduced and their link with Markov field theory and Gibbs distribution. In the second chapter the basic notions of DNA sequences and a special structure of genetic data is introduced. The logit models and Markov field theory are applied to assess the dependence structure (interactions) between DNA nucleotides and to test hypothesis about Markov order of these dependencies... [to full text]
Disertacijoje nagrinėjami kai kurie kategorinių požymių statistinės analizės uždaviniai – ryšių struktūros bei modelio parinkimo ir jo parametrų įvertinimo uždaviniai. Disertacijos tikslas – pasiūlyti ryšių struktūros tarp kategorinių požymių įvertinimo metodą tuo atveju, kai turime didelės dimensijos duomenų rinkinius ir išsklaidytas dažnių lenteles, t. y. kai daugumoje dažnių lentelės ląstelių yra mažas stebinių skaičius arba jos yra tuščios. Ši situacija iliustruojama DNR genetinių sekų statistine analize. Disertaciją sudaro įvadas, trys pagrindiniai skyriai, išvados, naudotos literatūros ir autoriaus publikacijų sąrašai. Įvadiniame skyriuje pristatoma tiriamoji problema ir jos aktualumas, aprašomas tyrimų objektas, formuluojamas darbo tikslas ir uždaviniai, aptariamas darbo mokslinis naujumas bei ginamieji teiginiai. Įvado pabaigoje pateikiami autoriaus pranešimai konferencijose disertacijos tema. Pirmame skyriuje pateikta kategorinių požymių statistinėje analizėje taikomų matematinių modelių apžvalga, šių modelių ryšys su Markovo laukų teorija ir Gibso skirstiniu. Antrame skyriuje atlikta statistinė analizė kai kurioms realioms DNR sekoms Markovo eilės jose įvertinimui bei pirminių ir antrinių DNR grandinių vijų palyginimui: pasiūlyta kategorinių duomenų statistinės analizės metodika, pagrįsta specialia stebimų duomenų forma, apibendrintu logit modeliu bei savirankos testais. Trečiame skyriuje išsklaidytų dažnių lentelės problemai spręsti pasiūlytas semiparametrinis... [toliau žr. visą tekstą]
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3

Piaseckienė, Karolina. "Statistiniai metodai lietuvių kalbos sudėtingumo analizėje." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140922_141219-73108.

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Pagrindinis darbo tikslas – pritaikyti matematinius ir statistinius metodus lietuvių kalbos analizėje, identifikuojant ir atsižvelgiant į lietuvių kalbos ypatumus, jos heterogeniškumą, sudėtingumą ir variabilumą.
The target of the work is to apply mathematical and statistical methods in the analysis of the Lithuanian language by identifying and taking into account peculiarities of the Lithuanian language, its heterogeneity, complexity and variability.
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4

Piaseckienė, Karolina. "The statistical methods in the analysis of the Lithuanian language complexity." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140922_141231-96020.

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The target of the work is to apply mathematical and statistical methods in the analysis of the Lithuanian language by identifying and taking into account peculiarities of the Lithuanian language, its heterogeneity, complexity and variability.
Pagrindinis darbo tikslas – pritaikyti matematinius ir statistinius metodus lietuvių kalbos analizėje, identifikuojant ir atsižvelgiant į lietuvių kalbos ypatumus, jos heterogeniškumą, sudėtingumą ir variabilumą.
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5

BIONDI, LUIGI. "Identifiability of Discrete Hierarchical Models with One Latent Variable." Doctoral thesis, 2016. http://hdl.handle.net/2158/1028810.

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In the thesis we discuss in depth the problem of identifiability for discrete models, showing many concrete situations in which it may fail. After this survey we concentrate on hierarchical log-linear models for binary variables with one hidden variable. These are more general of the LC models because may include some higher-order interactions. These models may sometimes be interpreted as discrete undirected graphical models (called also concentration graph models), but they are more general.
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Books on the topic "Modelli Loglineari"

1

Loglinear models with latent variables. Newbury Park, Calif: Sage, 1993.

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2

Young, Mun Eun, ed. Loglinear modeling: Concepts, interpretation, and application. Hoboken, New Jersey: Wiley, 2012.

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Luijkx, Ruud. Comparative loglinear analyses of social mobility and heterogamy. Tilburg, The Netherlands: Tilburg University Press, 1994.

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The association graph and the multigraph for loglinear models. Thousand Oaks, Calif: SAGE, 2011.

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5

Schiller, Karla. Loglineare Modellierung mit dem Abschlusstest: Ein Instrument für die empirische Marketingforschung. München: V. Florentz, 1986.

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6

Friendly, Michael. Interpreting higher order interactions in loglinear analysis: A picture is worth 1000 numbers. North York, Ont: Institute for Social Research, York University, 1991.

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7

Spray, Judith A. Comparison of loglinear and logistic regression models for detecting changes in proportions. Iowa City: American College Testing Program, 1988.

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8

F, Robinson Byron, ed. Understanding log-linear analysis with ILOG: An interactive approach. Hillsdale, N.J: L. Erlbaum, 1994.

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9

Adejumo, Adebowale Olusola. Modelling generalized linear (loglinear) models for raters agreement measure: With complete and missing values cases. New York: Peter Lang, 2006.

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Hanson, Bradley A. Application of a polynomial loglinear model to assessing differential item functioning for common items in the common-item equating design. Iowa City, Iowa: ACT, Inc., 1997.

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Book chapters on the topic "Modelli Loglineari"

1

Toutenburg, Helge. "Loglineare Modelle." In Moderne nichtparametrische Verfahren der Risikoanalyse, 165–98. Heidelberg: Physica-Verlag HD, 1992. http://dx.doi.org/10.1007/978-3-642-58246-2_7.

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Handl, Andreas. "Hierarchische loglineare Modelle." In Multivariate Analysemethoden, 245–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-08887-6_10.

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Kuhlenkasper, Torben, and Andreas Handl. "Hierarchische loglineare Modelle." In Multivariate Analysemethoden, 279–325. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54754-0_10.

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Handl, Andreas. "Hierarchische loglineare Modelle." In Multivariate Analysemethoden, 255–300. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14987-0_10.

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Bergsma, Wicher, Marcel Croon, and Jacques A. Hagenaars. "Loglinear Marginal Models." In Marginal Models, 23–74. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/b12532_2.

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Henson, Robert, and Jonathan L. Templin. "Loglinear Cognitive Diagnostic Model (LCDM)." In Handbook of Diagnostic Classification Models, 171–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05584-4_8.

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Kelderman, Henk. "Loglinear Multivariate and Mixture Rasch Models." In Multivariate and Mixture Distribution Rasch Models, 77–97. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-49839-3_5.

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Herrmann, Andreas. "Die Spezifikation marketingpolitischer Aktivitäten mittels loglinearer Modelle." In Nachfragerorientierte Produktgestaltung, 181–228. Wiesbaden: Gabler Verlag, 1996. http://dx.doi.org/10.1007/978-3-663-10859-7_8.

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Schiller, Karla. "Analyse von Markentreuem Kaufverhalten mit Loglinearen Modellen." In DGOR, 366–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71161-9_67.

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Schiller, Karla. "Der Abschluβtest zur Unterstützung bei der Modellauswahl Loglinearer Modelle." In Multiple Hypothesenprüfung / Multiple Hypotheses Testing, 177–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-52307-6_15.

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Reports on the topic "Modelli Loglineari"

1

Mullahy, John. Interaction Effects and Difference-in-Difference Estimation in Loglinear Models. Cambridge, MA: National Bureau of Economic Research, November 1999. http://dx.doi.org/10.3386/t0245.

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Atwood, C. L. Modeling patterns in count data using loglinear and related models. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/172140.

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