9780471223375 - Regression With Social Data: Modeling Continuous and Limited Response Variables di Demaris, Alfred (22 risultati)

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Hardcover. Condizione: Very Good. Condizione sovraccoperta: None Issued. Text is unmarked; pages are bright. Binding is sturdy. The upper corners of the covers are bumped. No dust jacket, as issued. 534pp.

Hardcover. Condizione: Gut. 534 p., numerous figures, Good condition. Library copy with usual marks. Sprache: Englisch Gewicht in Gramm: 1035.

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Condizione: New.

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Hardcover. Condizione: new. Hardcover. An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience. Content includes coverage of: Logit, probit, scobit, truncated, and censored regressionsMultiple regression with ANOVA and ANCOVA modelsBinary and multinomial response modelsPoisson, negative binomial, and other regression models for event-count dataSurvival analysis using multistate, multiepisode, and interval-censored survival models Concepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step-by-step solutions plus an appendix of mathematical tutorials make even complex problems accessible to readers with only moderate math skills. The books logical flow, wide applicability, and uniquely comprehensive coverage make it both an ideal text for a variety of graduate course settings and a useful reference for practicing researchers in the field. An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condizione: New.

Condizione: New. pp. xvii + 534 Illus.

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Condizione: New. An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Series: Wiley Series in Probability and Statistics. Num Pages: 560 pages, illustrations. BIC Classification: JM; PB. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 30. Weight in Grams: 896. . 2004. 1st Edition. Hardcover. . . . .

Condizione: New. pp. xvii + 534 Index.

Hardcover. Condizione: Brand New. 1st edition. 534 pages. 9.50x6.25x1.25 inches. In Stock.

Hardcover. Condizione: new. Hardcover. An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience. Content includes coverage of: Logit, probit, scobit, truncated, and censored regressionsMultiple regression with ANOVA and ANCOVA modelsBinary and multinomial response modelsPoisson, negative binomial, and other regression models for event-count dataSurvival analysis using multistate, multiepisode, and interval-censored survival models Concepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step-by-step solutions plus an appendix of mathematical tutorials make even complex problems accessible to readers with only moderate math skills. The books logical flow, wide applicability, and uniquely comprehensive coverage make it both an ideal text for a variety of graduate course settings and a useful reference for practicing researchers in the field. An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Series: Wiley Series in Probability and Statistics. Num Pages: 560 pages, illustrations. BIC Classification: JM; PB. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 30. Weight in Grams: 896. . 2004. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: new. Hardcover. An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience. Content includes coverage of: Logit, probit, scobit, truncated, and censored regressionsMultiple regression with ANOVA and ANCOVA modelsBinary and multinomial response modelsPoisson, negative binomial, and other regression models for event-count dataSurvival analysis using multistate, multiepisode, and interval-censored survival models Concepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step-by-step solutions plus an appendix of mathematical tutorials make even complex problems accessible to readers with only moderate math skills. The books logical flow, wide applicability, and uniquely comprehensive coverage make it both an ideal text for a variety of graduate course settings and a useful reference for practicing researchers in the field. An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.