Description: An Introduction to Latent Class Analysis by Nobuoki Eshima Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models. The maximum likelihood estimation procedures for latent class models are constructed via the expectation–maximization (EM) algorithm, and along with it, latent profile and latent trait models are also treated. Entropy-based discussions for latent class models are given as advanced approaches, for example, comparison of latent classes in a latent class cluster model, assessing latent class models, path analysis, and so on. In observing human behaviors and responses to various stimuli and test items, it is valid to assume they are dominated by certain factors. This book plays a significant role in introducing latent structure analysis to not only young researchers and students studying behavioral sciences, but also to those investigating other fields of scientific research. Author Biography Nobuoki Eshima was born in Fukuoka, Japan, in 1957. He was received B.Sc. and D.Sc. degrees in Mathematics from Kyushu University, Fukuoka, Japan, in 1980 and 1993, respectively. In 1993, he joined Department of Statistics, Faculty of General Education, Nagasaki University, as Associate Professor. In 1996, he joined Department of Medical Information Analysis, Faculty of Medicine, Oita Medical University, as Professor. In 2016, he joined Center for Educational Outreach and Admissions, Kyoto University, as Professor. In 2021, he was granted the title of Emeritus Professor of Oita University, and from 2021, he is Guest Professor of Faculty of Medicine, Kurume University. Details ISBN 9811909741 ISBN-13 9789811909740 Title An Introduction to Latent Class Analysis Author Nobuoki Eshima Format Paperback Year 2023 Pages 190 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:143853049; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 135.62 USD
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End Time: 2024-11-13T14:34:43.000Z
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ISBN-13: 9789811909740
Book Title: An Introduction to Latent Class Analysis
Number of Pages: Xi, 190 Pages
Publication Name: Introduction to Latent Class Analysis : Methods and Applications
Language: English
Publisher: Springer
Publication Year: 2023
Subject: Probability & Statistics / General, General, Assessment, Testing & Measurement, Statistics
Type: Textbook
Item Weight: 11.3 Oz
Author: Nobuoki Eshima
Item Length: 9.3 in
Subject Area: Mathematics, Psychology, Business & Economics
Series: Behaviormetrics: Quantitative Approaches to Human Behavior Ser.
Item Width: 6.1 in
Format: Trade Paperback