9781032774763 - analysis of multivariate social science data: statistical machine learning methods (chapman & hall/crc statistics in the social and behavioral sciences) de moustaki, irini; steele, fiona; chen, yunxiao; bartholomew, david (18 resultados)
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 179,08
Envío por EUR 2,26Se envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 179,71
Envío por EUR 17,47Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 195,23
Envío por EUR 2,26Se envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: New.
Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods (Chapman & Hall/Crc Statistics in the Social and Behavioral Sciences)
Moustaki, Irini; Steele, Fiona; Chen, Yunxiao; Bartholomew, David
- Tapa dura
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 189,87
Envío por EUR 7,57Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
Analysis of Multivariate Social Science Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Moustaki, Irini; Steele, Fiona; Chen, Yunxiao; Bartholomew, David
- Tapa dura
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 211,75
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods (Chapman & Hall/Crc Statistics in the Social and Behavioral Sciences)
Moustaki, Irini; Steele, Fiona; Chen, Yunxiao; Bartholomew, David
- Tapa dura
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 210,55
Envío por EUR 3,42Se envía dentro de Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 199,57
Envío por EUR 17,47Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: New.
- Tapa dura
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 211,18
Envío por EUR 7,88Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa dura
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 218,76
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa dura
Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 200,55
Envío por EUR 25,10Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardback. Condición: New. New copy - Usually dispatched within 4 working days.
Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods (Chapman & Hall/Crc Statistics in the Social and Behavioral Sciences)
Moustaki, Irini; Steele, Fiona; Chen, Yunxiao; Bartholomew, David
- Tapa dura
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 223,32
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
- Tapa dura
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 199,15
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa dura
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 264,63
Envío por EUR 14,56Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: Brand New. 3rd edition. 496 pages. 9.18x6.12x9.45 inches. In Stock.
- Tapa dura
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 197,55
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. Drawing on the authors varied experiences researching and teaching in the field, Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods, Third Edition enables a basic understanding of how to use key multivariate methods in the social sciences. With minimal mathema…tical and statistical knowledge required, this third edition expands its topics to include graphical modelling, models for longitudinal data, structural equation models for categorical variables, and latent class analysis for ordinal, nominal, and continuous variables. It also connects the topics to terminology and principles of machine learning, intended to help readers grasp the links between methods of multivariate analysis and advancements in the field of data science.After describing methods for the summarisation of data in the first part of the book, the authors consider regression analysis. This chapter provides a link between the two halves of the book, signalling the move from descriptive to inferential methods. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data.Relying heavily on numerical examples from a range of disciplines, the authors provide insight into the purpose and working of the methods as well as the interpretation of results from analyses. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional practice, encouraging readers to explore new ground in social science research.FeaturesContains new chapters on undirected graphical modelling and models for longitudinal data, as well as new material such as K-means, cross-validation, structural equation models for categorical variables, latent class analysis for categorical, nominal and continuous variables, and treatment of missing data.Connects topics with terminology and principles of machine learning.Presents numerous examples of real-world applications, including voting preferences, social attitudes, educational assessment, recidivism, and health.Covers methods that summarise, describe, and explore multivariate datasets, including longitudinal data.Establishes a unified approach to latent variable modelling by providing detailed coverage of methods such as item response theory, factor analysis for continuous and categorical data, and models for categorical latent variables.Covers models for hierarchical and longitudinal data and their connections to latent variable models.Offers a full version of the data sets in the text or the books website, with software code for implementing the analyses on the website.The book offers a balanced and accessible resource for students and researchers with limited mathematical and statistical training. It serves as a practical resource for courses in multivariate analysis and as a guide for applying these techniques in applied research. Third Edition enables a basic understanding of how to use key multivariate methods in the social sciences. Authors focus on regression analysis. Provides link between two halves of the book, the move from descriptive to inferential methods, from interdependence to dependence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa dura
- Impresión bajo demanda
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 189,54
Envío por EUR 31,69Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. Drawing on the authors varied experiences researching and teaching in the field, Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods, Third Edition enables a basic understanding of how to use key multivariate methods in the social sciences. With minimal mathema…tical and statistical knowledge required, this third edition expands its topics to include graphical modelling, models for longitudinal data, structural equation models for categorical variables, and latent class analysis for ordinal, nominal, and continuous variables. It also connects the topics to terminology and principles of machine learning, intended to help readers grasp the links between methods of multivariate analysis and advancements in the field of data science.After describing methods for the summarisation of data in the first part of the book, the authors consider regression analysis. This chapter provides a link between the two halves of the book, signalling the move from descriptive to inferential methods. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data.Relying heavily on numerical examples from a range of disciplines, the authors provide insight into the purpose and working of the methods as well as the interpretation of results from analyses. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional practice, encouraging readers to explore new ground in social science research.FeaturesContains new chapters on undirected graphical modelling and models for longitudinal data, as well as new material such as K-means, cross-validation, structural equation models for categorical variables, latent class analysis for categorical, nominal and continuous variables, and treatment of missing data.Connects topics with terminology and principles of machine learning.Presents numerous examples of real-world applications, including voting preferences, social attitudes, educational assessment, recidivism, and health.Covers methods that summarise, describe, and explore multivariate datasets, including longitudinal data.Establishes a unified approach to latent variable modelling by providing detailed coverage of methods such as item response theory, factor analysis for continuous and categorical data, and models for categorical latent variables.Covers models for hierarchical and longitudinal data and their connections to latent variable models.Offers a full version of the data sets in the text or the books website, with software code for implementing the analyses on the website.The book offers a balanced and accessible resource for students and researchers with limited mathematical and statistical training. It serves as a practical resource for courses in multivariate analysis and as a guide for applying these techniques in applied research. Third Edition enables a basic understanding of how to use key multivariate methods in the social sciences. Authors focus on regression analysis. Provides link between two halves of the book, the move from descriptive to inferential methods, from interdependence to dependence. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Tapa dura
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 221,37
Envío por EUR 43,10Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. Drawing on the authors varied experiences researching and teaching in the field, Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods, Third Edition enables a basic understanding of how to use key multivariate methods in the social sciences. With minimal mathema…tical and statistical knowledge required, this third edition expands its topics to include graphical modelling, models for longitudinal data, structural equation models for categorical variables, and latent class analysis for ordinal, nominal, and continuous variables. It also connects the topics to terminology and principles of machine learning, intended to help readers grasp the links between methods of multivariate analysis and advancements in the field of data science.After describing methods for the summarisation of data in the first part of the book, the authors consider regression analysis. This chapter provides a link between the two halves of the book, signalling the move from descriptive to inferential methods. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data.Relying heavily on numerical examples from a range of disciplines, the authors provide insight into the purpose and working of the methods as well as the interpretation of results from analyses. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional practice, encouraging readers to explore new ground in social science research.FeaturesContains new chapters on undirected graphical modelling and models for longitudinal data, as well as new material such as K-means, cross-validation, structural equation models for categorical variables, latent class analysis for categorical, nominal and continuous variables, and treatment of missing data.Connects topics with terminology and principles of machine learning.Presents numerous examples of real-world applications, including voting preferences, social attitudes, educational assessment, recidivism, and health.Covers methods that summarise, describe, and explore multivariate datasets, including longitudinal data.Establishes a unified approach to latent variable modelling by providing detailed coverage of methods such as item response theory, factor analysis for continuous and categorical data, and models for categorical latent variables.Covers models for hierarchical and longitudinal data and their connections to latent variable models.Offers a full version of the data sets in the text or the books website, with software code for implementing the analyses on the website.The book offers a balanced and accessible resource for students and researchers with limited mathematical and statistical training. It serves as a practical resource for courses in multivariate analysis and as a guide for applying these techniques in applied research. Third Edition enables a basic understanding of how to use key multivariate methods in the social sciences. Authors focus on regression analysis. Provides link between two halves of the book, the move from descriptive to inferential methods, from interdependence to dependence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Tapa dura
- Impresión bajo demanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 206,45
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Buch. Condición: Neu. Analysis of Multivariate Social Science Data | Statistical Machine Learning Methods | Irini Moustaki (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Chapman and Hall/CRC | EAN 9781032774763 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]…de | Anbieter: preigu Print on Demand.
- Tapa dura
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 275,00
Envío por EUR 64,54Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Third Edition enables a basic understanding of how to use key multivariate methods in the social sciences. Authors focus on regression analysis. Provides link between two halves of the book, the move from descriptive to inferential methods, fro…m interdependence to dependence.
