Analysis Complex Surveys (79 results)

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Paperback. Condition: Good. * 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.

Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Condition: Good. * 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.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condition: Very Good. clean. Large surveys are increasingly available for public use, and researchers often need to analyze complex survey data to address key scientific issues. This book covers intermediate and advanced statistical techniques for designing and analyzing complex surveys — including business, educational, health, social, and socio-economic surveys and official statistics. It includes detailed coverage of complex survey analysis, such as design-based ANOVA and logistic regression with GEE estimation, along with real-life case studies like multilevel modeling in a multinational educational survey. This extensively updated second edition adds new material on handling non-sampling errors and model-assisted estimation for domains, plus a companion website with software code, real datasets, and practical exercises. Ships from Georgia, USA. …

Hardcover. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

XV, 248 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condition: New.

Condition: new.

Hardcover. Condition: Near Fine. Dust Jacket Condition: No Jacket as Issued. 1st Edition. glossy blue c w/white titles; slight rubbing at tips; 337 clean, unmarked pages.deals with sampling, estimation, and data analysis methods for complex, real-world survey data; Focuses on variance and covariance estimation using linearization and sample reuse methods and covers design-based analysis of frequency tables and multivariate methods like logistic and linear regression.…

Condition: 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.…

Hard Cover. Condition: Good. No Jacket. First Edition. From an academic library with the usual stamps etc.

Condition: New.

Condition: New.

Condition: 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. Condition: new. New Copy. Customer Service Guaranteed.

Condition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains highlighter markings. In poor condition, suitable as a reading copy. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780471923770.…

Condition: As New. Unread book in perfect condition.

Condition: New. pp. 248.

Condition: new.

Condition: New. pp. 266.

Condition: New.

Hardcover. Condition: Brand New. 266 pages. 9.50x6.50x0.75 inches. In Stock.

Condition: New.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels.The importance of sample surveys today cannot be overstated. From voters' behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex surveydesigns like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed - an assumption on which the classical procedures of inference are based. This means that if classical tests are used for the analysis of such data, the inferences obtained will be inconsistent and often invalid. For this reason, many modified test procedures have been developed for this purpose over the last few decades.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels.The importance of sample surveys today cannot be overstated. From voters' behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex surveydesigns like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed - an assumption on which the classical procedures of inference are based. This means that if classical tests are used for the analysis of such data, the inferences obtained will be inconsistent and often invalid. For this reason, many modified test procedures have been developed for this purpose over the last few decades.…