Latent class regression on latent factors

Latent Trait and Latent Class Models

✍ Rolf Langeheine, Jürgen Rost (auth.), Rolf Langeheine, Jürgen Rost (eds.) 📂 Library 📅 1988 🏛 Springer US 🌐 English

<p>This volume is based on an international conference held at the Institute for Science Education (IPN) in Kiel in August 1985. The IPN is a national research institute for science education of the Federal Republic of Germany associated with the University of Kiel. The aim of this conference-to tre

Applied Latent Class Analysis

📁 Applied Latent Class Analysis

✍ Jacques A. Hagenaars, Allan L. McCutcheon 📂 Library 📅 2002 🏛 Cambridge University Press 🌐 English

This study introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis have contributed essays to the volume, each presenting a key innovation to the basic LCM and illustrating how it

Applied Latent Class Analysis

📁 Applied Latent Class Analysis

✍ Jacques A. Hagenaars, Allan L. McCutcheon 📂 Library 📅 2002 🏛 Cambridge University Press 🌐 English

This study introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis have contributed essays to the volume, each presenting a key innovation to the basic LCM and illustrating how it

Latent Class Scaling Analysis

📁 Latent Class Scaling Analysis

✍ C. Mitchell Dayton 📂 Library 📅 1999 🏛 SAGE Publications, Inc 🌐 English

<p>Filled with well-chosen empirical examples to teach the technique, this book provides a thorough guide to latent class scaling models for binary response variables. Substantive illustrations include a survey on academic cheating, children's mastery of spatial tasks, medical diagnosis of lung dise

Dynamic Network Representation Based on

📁 Dynamic Network Representation Based on Latent Factorization of Tensors

✍ Hao Wu, Xuke Wu, Xin Luo 📂 Library 📅 2023 🏛 Springer 🌐 English

<p><span>A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-

Dynamic Network Representation Based on

📁 Dynamic Network Representation Based on Latent Factorization of Tensors

✍ Hao Wu; Xuke Wu; Xin Luo 📂 Library 📅 2023 🏛 Springer Nature 🌐 English

A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic real-time interactions among them, where each node indicates a specified entity, each directed link indicates a real-time inte