{"product_id":"latent-variable-models-and-factor-3e-hardcover","title":"Latent Variable Models and Factor 3e - Hardcover","description":"\u003cp\u003eby \u003cb\u003eDavid J. Bartholomew\u003c\/b\u003e (Author), \u003cb\u003eMartin Knott\u003c\/b\u003e (Author), \u003cb\u003eIrini Moustaki\u003c\/b\u003e (Author)\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003ci\u003eLatent Variable Models and Factor Analysis\u003c\/i\u003e provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. \u003c\/p\u003e\u003cp\u003eThis book: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family.\u003c\/li\u003e \u003cli\u003ePresents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency.\u003c\/li\u003e \u003cli\u003eIncludes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples.\u003c\/li\u003e \u003cli\u003eLooks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eNo prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eDavid Bartholomew, Martin Knott\u003c\/b\u003e and \u003cb\u003eIrini Moustaki, \u003c\/b\u003e Department of Statistics, The London School of Economics and Political Science, London, UK\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 296\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 9.23 x 6.37 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 08, 2011\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42735802613823,"sku":"9780470971925","price":176.17,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/3b5b72d1794513cdeb67c3218c4cf426.webp?v=1765144721","url":"https:\/\/dhlswag.com\/products\/latent-variable-models-and-factor-3e-hardcover","provider":"BBB","version":"1.0","type":"link"}