Tag: Mixture

Free Download Kandauda Wickrama, "Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide "
English | ISBN: 1138925152 | 2016 | 326 pages | EPUB | 21 MB
This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book’s datasets are available on the web.

Free Download Hands On With Mixture Of Experts Models
Published 1/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.13 GB | Duration: 1h 12m
Everything You Need To Know About Mixture Of Experts AI Models From Someone Who Has Built Several Of Them!

Free Download Statistical Inference Under Mixture Models
English | 2023 | ISBN: 9819979048 | 327 Pages | PDF EPUB (True) | 29 MB
This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an applicant who understands the issues behind each statistical method. This book is intended for applicants whose interests include some understanding of the procedures they are using, while they do not have to read the technical derivations.

Free Download Multivariate and Mixture Distribution Rasch Models: Extensions and Applications by Matthias Davier , Claus H. Carstensen
English | PDF | 2007 | 400 Pages | ISBN : 0387329161 | 3.2 MB
This volume gathers together a set of extensions of the Rasch model, one of the most prominent models for measurement in educational research and – cial science developed by Danish mathematician Georg Rasch. The idea for this volume emerged during a meeting of the Psychometric Society in M- terey, CA. At that meeting, friends and colleagues discussed news about the impending retirement of Dr. Jurgen ¨ Rost, an important innovator and m- tor in this ?eld. To recognize Jurgen’s ¨ contributions, we decided to produce a collection of research on extending the Rasch model as well as embedding the Rasch model in more complex statistical models, an area that is receiving broad interest in many ?elds of social sciences at the current time. This collection contains 22 chapters by recognized international experts in the?eld.Thecontributionscovertopicsrangingfromgeneralmodelextensions to application in ?elds as diverse as cognition, personality, organizational and sports psychology, and health sciences and education. The Rasch model is designed for categorical data, often collected as ex- inees’ responses to multiple tasks such as cognitive items from psychological tests or from educational assessments. The Rasch model’s elegant mathema- cal form is suitable for extensions that allow for greater ?exibility in handling complex samples of examinees and collections of tasks from di?erent domains. In these extensions, the Rasch model is enhanced by additional structural – ements that account either for di?erences between diverse populations or for di?erences among observed variables.