latent variable models factor di bartholomew david (37 risultati)

Hardcover. Condizione: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.8.

hardcover. Condizione: Very Good. Prior owner name in front. With very good dust jacket. Very Good hardcover with light shelfwear - NICE! Standard-sized.

Condizione: Good. Good condition. Very Good dust jacket. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, and may have sticker on cover, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Hard cover. Very good. No dust jacket. Cover.

Hardcover. Condizione: Near Fine. Condizione sovraccoperta: Near Fine. 1st. dj in mylar; black c w/gilt spine titles; 193 clean, unmarked pages/index.

Hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good. Text is unmarked; pages are bright, though the page edges are lightly foxed. Binding is tight and square. Dust jacket shows some light edgewear, with a small tear at one of the corners. 193pp.

Hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good. Image shows actual item for sale. Book Condition: Very Good; firm binding; contents very good. Jacket Condition: Very Good. Hard Cover Charles Griffin. Oxford University Press 1987 Mathematics.

Hardcover. Condizione: Like New. Alternative cover as pictured. Rubber stamp of previous owner on fly-leaf, otherwise nearly new.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: Used - Good. Used Book. Shipped from UK. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. Latent Variable Models and Factor Analysis 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. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family.Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency.Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples.Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No 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. Latent Variable Models and Factor Analysis 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Near Fine. Condizione sovraccoperta: Near Fine. 1st Edition. hardback book and dust jacket in near fine condition.

Cloth. Condizione: Fine. Condizione sovraccoperta: Near Fine. 1st Edition. Griffin's Statistical Monographs and Courses, GSM 40, series editor Alan Stuart, one branch of multi-variate analysis, 193pp, F/NF. Book.

Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 BAR 2nd.ed 9780340692431 Sprache: Englisch Gewicht in Gramm: 550.

Condizione: New. In.

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Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. Latent Variable Models and Factor Analysis 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. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family.Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency.Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples.Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No 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.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. 606.

Condizione: New. pp. xiii + 277 Illus.

Condizione: New. pp. xiii + 277 Index 3rd Edition.

Condizione: New. Latent Variable Models and Factor Analysis 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. Series: Wiley Series in Probability and Statistics. Num Pages: 294 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 226 x 162 x 21. Weight in Grams: 572. . 2011. 3rd Edition. Hardcover. . . . .

Condizione: New. Latent Variable Models and Factor Analysis 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. Series: Wiley Series in Probability and Statistics. Num Pages: 294 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 226 x 162 x 21. Weight in Grams: 572. . 2011. 3rd Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: new. Hardcover. Latent Variable Models and Factor Analysis 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. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family.Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency.Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples.Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No 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. Latent Variable Models and Factor Analysis 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Latent Variable Models and Factor Analysis 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. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family.Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency.Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples.Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No 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. Latent Variable Models and Factor Analysis 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.