About: Log-linear analysis

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Log-linear analysis is a technique used in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building. In both these uses, models are tested to find the most parsimonious (i.e., least complex) model that best accounts for the variance in the observed frequencies. (A Pearson's chi-square test could be used instead of log-linear analysis, but that technique only allows for two of the variables to be compared at a time.)

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rdfs:label	Logarithmisch-lineares Modell (de) Log-linear analysis (en)
rdfs:comment	Log-linear analysis is a technique used in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building. In both these uses, models are tested to find the most parsimonious (i.e., least complex) model that best accounts for the variance in the observed frequencies. (A Pearson's chi-square test could be used instead of log-linear analysis, but that technique only allows for two of the variables to be compared at a time.) (en) Logarithmisch-lineare Modelle, kurz Log-lineare Modelle gehören zu den multivariaten Verfahren, die besonders in der Statistik Anwendung finden. Mit log-linearen Modellen werden nominalskalierte Daten analysiert. Durch eine logarithmische Transformation kann man bei der Analyse mehrdimensionaler Häufigkeitstabellen das Problem meist anschaulicher darstellen, etwa in dem Sinn, dass und Interaktionen einer mehrdimensionalen Häufigkeitstabelle sich linear zusammensetzen lassen. Man unterscheidet verschiedene log-lineare Verfahren: (de)
dcterms:subject	Categorical variable interactions
Wikipage page ID	35696836 (xsd:integer)
Wikipage revision ID	1015683504 (xsd:integer)
Link from a Wikipage to another Wikipage	Deviance (statistics) Categorical variable interactions Interaction (statistics) Poisson regression Contingency table Odds ratios Statistical model Statistics Main effect Errors and residuals in statistics Poisson regression Logistic regression Dependent variable Statistical randomness Chi-square distribution Chordal graph Independence (probability theory) Independent variable Natural logarithm Categorical variable Saturated model Statistical significance Backward elimination Likelihood ratio test Pearson's chi-square test
Link from a Wikipage to an external page	http://www.r-project.org/ https://web.archive.org/web/20141112210114/http:/www.fico.com/en/resources/predictive-analytics/analytic-technologies/log-linear-models/ http://stat.ethz.ch/R-manual/R-devel/library/MASS/html/loglm.html http://www-01.ibm.com/software/analytics/spss/products/statistics/ http://www.oxfordjournals.org/tropej/online/ma_chap14.pdf http://pic.dhe.ibm.com/infocenter/spssstat/v20r0m0/index.jsp%3Ftopic=%2Fcom.ibm.spss.statistics.help%2Fsyn_genlog.htm https://github.com/fpetitjean/Chordalysis https://cran.r-project.org/package=MASS http://ww2.coastal.edu/kingw/statistics/R-tutorials/loglin.html
sameAs	Log-linear analysis Log-linear analysis Log-linear analysis Log-linear analysis Log-linear analysis Log-linear analysis Log-linear analysis
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has abstract	Logarithmisch-lineare Modelle, kurz Log-lineare Modelle gehören zu den multivariaten Verfahren, die besonders in der Statistik Anwendung finden. Mit log-linearen Modellen werden nominalskalierte Daten analysiert. Durch eine logarithmische Transformation kann man bei der Analyse mehrdimensionaler Häufigkeitstabellen das Problem meist anschaulicher darstellen, etwa in dem Sinn, dass und Interaktionen einer mehrdimensionalen Häufigkeitstabelle sich linear zusammensetzen lassen. Man unterscheidet verschiedene log-lineare Verfahren: * Als generelle log-lineare Modelle bezeichnet man Verfahren, die ungerichtete Zusammenhänge zwischen nominalskalierten Daten untersuchen. * Logit-Modelle untersuchen den gerichteten Zusammenhang zwischen einer abhängigen nominalskalierten Variablen und anderen unabhängigen Variablen. Log-lineare Modelle bieten die Möglichkeit der sogenannten saturierten und nichtsaturierten Datenanalyse. (de) Log-linear analysis is a technique used in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building. In both these uses, models are tested to find the most parsimonious (i.e., least complex) model that best accounts for the variance in the observed frequencies. (A Pearson's chi-square test could be used instead of log-linear analysis, but that technique only allows for two of the variables to be compared at a time.) (en)
gold:hypernym	Technique
prov:wasDerivedFrom	wikipedia-en:Log-linear_analysis?oldid=1015683504&ns=0
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foaf:isPrimaryTopicOf	wikipedia-en:Log-linear_analysis
is Link from a Wikipage to another Wikipage of	GAUSS (software) Model selection Keyword (linguistics) Poisson regression Allan L. McCutcheon Anguis veronensis Markov random field Loglinear analysis List of statistics articles
is Wikipage redirect of	Loglinear analysis
is foaf:primaryTopic of	wikipedia-en:Log-linear_analysis

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