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Generalized Latent Variable Modeling: Multievel, Longitidinal, and Structural Equation Models
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wide range of estimation and prediction methods from biostatistics, psychometrics, econometrics, and statistics. They present exciting and realistic applications that demonstrate how researchers can use latent variable modeling to solve concrete problems in areas as diverse as medicine, economics, and psychology. The examples considered include many nonstandard response types, such as ordinal, nominal, count, and survival data. Joint modeling of mixed responses, such as survival and longitudinal data, is also illustrated. Numerous displays, figures, and graphs make the text vivid and easy to read.
Ketersediaan
1142101821 | 519.2 Skr g | Perpust. Matematika UNY | Tersedia |
Informasi Detil
Judul Seri |
Chapman & Hall/CRC Interdisciplinary Statistics series
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No. Panggil |
519.2 Skr g
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Penerbit | Chapman Hall/CRC : Boca Raton., 2004 |
Deskripsi Fisik |
xiii, 508 p.; ilus.; 24 cm.
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Bahasa |
English
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ISBN/ISSN |
1584880007
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Klasifikasi |
519.2
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Tipe Isi |
text
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Tipe Media |
-
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Tipe Pembawa |
-
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Edisi |
-
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Subyek | |
Info Detil Spesifik |
-
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Pernyataan Tanggungjawab |
Anders Skrondal, Sophia Rabe-Hesketh
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Versi lain/terkait
Tidak tersedia versi lain