9780470284308 - Complex Surveys: A Guide to Analysis Using R: A Guide to Analysis Using R: 565 (Wiley Series in Survey Methodology) de Lumley, Thomas (27 resultados)

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Softcover/Paperback. 276 p.; with tables and graphics. Good. Ex-library with usual markings. Clean pages. Sprache: Englisch Gewicht in Gramm: 490.

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Paperback. Condición: new. Paperback. A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work. * Incorporates the use of R subroutines in the analysis ofsurveys * Realistically large, but not technologically inaccessible, datasets are showcased to illustrate the need for and utility of the Rsoftware system. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condición: New. pp. xv + 276 Illus., Map.

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Condición: New. pp. xv + 276, Map, Index.

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Condición: New. 2010. 1st Edition. Paperback. * Incorporates the use of R subroutines in the analysis ofsurveys * Realistically large, but not technologically inaccessible, datasets are showcased to illustrate the need for and utility of the Rsoftware system. Series: Wiley Series in Survey Methodology. Num Pages: 296 pages, Illustrations. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 236 x 165 x 16. Weight in Grams: 434. . . . . .

Paperback. Condición: new. Paperback. A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work. * Incorporates the use of R subroutines in the analysis ofsurveys * Realistically large, but not technologically inaccessible, datasets are showcased to illustrate the need for and utility of the Rsoftware system. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

Paperback. Condición: Brand New. 1st edition. 296 pages. 9.50x6.25x0.75 inches. In Stock.

Paperback. Condición: new. Paperback. A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work. * Incorporates the use of R subroutines in the analysis ofsurveys * Realistically large, but not technologically inaccessible, datasets are showcased to illustrate the need for and utility of the Rsoftware system. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. 2010. 1st Edition. Paperback. * Incorporates the use of R subroutines in the analysis ofsurveys * Realistically large, but not technologically inaccessible, datasets are showcased to illustrate the need for and utility of the Rsoftware system. Series: Wiley Series in Survey Methodology. Num Pages: 296 pages, Illustrations. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 236 x 165 x 16. Weight in Grams: 434. . . . . . Books ship from the US and Ireland.

Kartoniert / Broschiert. Condición: New. Survey analysis remains the bread-and-butter of sociological research. Highlighting three main areas of interest-calibration estimators, two-phase designs, and fitting of regression models to survey data-Complex Surveys is the first book to describe the use.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. Neuware - Survey analysis remains the bread and butter of sociological research. Highlighting three main areas of interest calibration estimators, two phase designs, and fitting of regression models to survey data Complex Surveys is the first book to describe the use of R in survey analysis in order to meticulously demonstrate new and efficient analyses of survey research methods in the health and social sciences. Written for applied statisticians and sophisticated users of statistics in the health and social sciences, the text employs large data sets throughout to illustrate the need for, and utility of, the R software system.

Paperback. Condición: Brand New. 1st edition. 296 pages. 9.50x6.25x0.75 inches. In Stock. This item is printed on demand.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 453.