Linear Latent Structure Analysis and Modelling of Multiple Categorical Variables
نویسندگان
چکیده
منابع مشابه
Linear latent structure analysis and modelling of multiple categorical variables
Linear latent structure analysis is a new approach for investigation of population heterogeneity using high-dimensional categorical data. In this approach, the population is represented by a distribution of latent vectors, which play the role of heterogeneity variables, and individual characteristics are represented by the expectation of this vector conditional on individual response patterns. ...
متن کاملDependent Categorical Variables 1 Running head: DEPENDENT CATEGORICAL VARIABLES Multiple Unordered Categorical Dependent Variables in Organizational Research
A model for analyzing multiple categorical dependent variables is presented and developed for use in organizational research. A primary example occurs in the foreign market entry literature, where choice of ownership (majority, equal, or minority) and “function” (acquisition or joint venture) are simultaneously endogenous; only separate univariate ownership-based and function-based choice model...
متن کاملLinear Latent Structure Analysis: Mixture Distribution Models with Linear Constraints
A new method for analyzing high-dimensional categorical data, Linear Latent Structure (LLS) analysis, is presented. LLS models belong to the family of latent structure models, which are mixture distribution models constrained to satisfy the local independence assumption. LLS analysis explicitly considers a family of mixed distributions as a linear space and LLS models are obtained by imposing l...
متن کاملTechnical Efficiency of Nigerian Insurance Companies: A Data Envelopment Analysis and Latent Growth Curve Modelling Approach
The main purpose of this paper is to investigate the performance of Nigerian insurance companies using Data Envelopment Analysis (DEA). Because of the unavailability of the required data, the study is limited to ten Nigerian insurance companies for the period of five years from 2008 to 2012. The input employed were commission expenses and management expenses, while premium and investment income...
متن کاملVisualising and modelling changes in categorical variables in longitudinal studies
BACKGROUND Graphical techniques can provide visually compelling insights into complex data patterns. In this paper we present a type of lasagne plot showing changes in categorical variables for participants measured at regular intervals over time and propose statistical models to estimate distributions of marginal and transitional probabilities. METHODS The plot uses stacked bars to show the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2009
ISSN: 1748-670X,1748-6718
DOI: 10.1080/17486700802259798