scientific article; zbMATH DE number 5187678
From MaRDI portal
zbMath1134.62035MaRDI QIDQ5756948
Publication date: 5 September 2007
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
discriminant analysislogistic regressionmaximum-likelihood estimatescontingency tableschi-squarecausal analysisgoogness-of-fit
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Contingency tables (62H17)
Related Items
Improved tests of independence in singly-ordered two-way contingency tables, Statistical paradises and paradoxes in big data. I: Law of large populations, big data paradox, and the 2016 US presidential election, Confidence intervals for discrete log-linear models when MLE does not exist, Exact inference in contingency tables via stochastic approximation Monte Carlo, Sparse concordance‐based ordinal classification, Higher Lawrence configurations., Triangular systems for symmetric binary variables, Sufficiency of variables in discrete discriminant analysis, Testing the order of discrete Markov chains using surrogate data, Single stage prediction with embedded topic modeling of online reviews for mobile app management, Combining loglinear model with classification and regression tree (CART): an application to birth data, Model based interpretation of survey data: a case study of enterprise resource planning implementations, A distance-based variety of nonlinear multivariate data analysis, including weights for objects and variables, Binary distributions of concentric rings, Interdependence among qualitative attributes, Counting subsets of contingency tables, Non-parametric testing of discrete panel data models, BET on Independence, Hierarchical Aitchison-Silvey models for incomplete binary sample spaces, Indicator models in social mobility tables, A model search procedure for hierarchical models, Closed-form maximum likelihood estimator for generalized linear models in the case of categorical explanatory variables: application to insurance loss modeling, Accurate estimation for extra-Poisson variability assuming random effect models, Enterprise resource planning: Managing the implementation process