Menard Scott William (28 results)

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.

Paperback. Condition: Like New. First Edition. In nearly new condition: firm and square with strong joints, no creases. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.…

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New.

Paperback. Condition: Brand New. 2nd edition. 93 pages. 8.25x5.50x0.25 inches. In Stock.

Paperback. Condition: Brand New. 2nd edition. 111 pages. 8.75x5.75x0.50 inches. In Stock.

Condition: New. In English.

Paperback. Condition: Brand New. 1st edition. 397 pages. 8.75x5.75x0.75 inches. In Stock.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The focus in this Second Edition is on logistic regression models for individual level (but aggregate or grouped) data. Multiple cases for each possible combination of values of the predictors are considered in detail and examples using SAS and SPSS included. New to this edition: · More detailed consideration of grouped as opposed to casewise data throughout the book · Updated discussion of the properties and appropriate use of goodness of fit measures, R2 analogues, and indices of predictive efficiency · Discussion of the misuse of odds ratios to represent risk ratios, and of overdispersion and underdispersion for grouped data · Updated coverage of unordered and ordered polytomous logistic regression models.…

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: New. pp. 416.

Hardcover. Condition: Brand New. 1st edition. 397 pages. 9.00x6.00x1.25 inches. In Stock.

Hardcover. Condition: Brand New. 416 pages. 9.25x7.50x1.00 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New. Fuer den Ruhm! Fuer den Sieg!Spannende Schlachten verlangen nach spannenden Monstern! In diesem Band findest du ueber 400 Kreaturen, darunter Genreklassiker wie Elfen, Oger und voellig neue Drachen, wilde Tiere von Riesenameisen bis zu blutruenstigen Woelfen .

Condition: New. Print on Demand pp. viii + 111 Illus.

Condition: New. Print on Demand pp. viii + 93 This item is printed on demand.

Condition: New. Print on Demand pp. viii + 111 2nd Edition.

Condition: New. Print on Demand pp. viii + 93 Second edition.

Condition: New. PRINT ON DEMAND pp. viii + 111.

Condition: New. PRINT ON DEMAND pp. viii + 93.

Condition: New. Print on Demand pp. 416.

Condition: New. PRINT ON DEMAND pp. 416 Acknowledgements.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this text, author Scott Menard provides coverage of not only the basic logistic regression model but also advanced topics found in no other logistic regression text. The book keeps mathematical notation to a minimum, making it accessible to those with more limited statistics backgrounds, while including advanced topics of interest to more statistically sophisticated readers. Not dependent on any one software package, the book discusses limitations to existing software packages and ways to overcome them. Key Features - Examines the logistic regression model in detail- Illustrates concepts with applied examples to help readers understand how concepts are translated into the logistic regression model- Helps readers make decisions about the criteria for evaluating logistic regression models through detailed coverage of how to assess overall models and individual predictors for categorical dependent variables- Offers unique coverage of path analysis with logistic regression that shows readers how to examine both direct and indirect effects using logistic regression analysis- Applies logistic regression analysis to longitudinal panel data, helping students understand the issues in measuring change with dichotomous, nominal, and ordinal dependent variables- Shows readers how multilevel change models with logistic regression are different from multilevel growth curve models for continuous interval or ratio-scaled dependent variablesLogistic Regression is intended for courses such as Regression and Correlation, Intermediate/Advanced Statistics, and Quantitative Methods taught in departments throughout the behavioral, health, mathematical, and social sciences, including applied mathematics/statistics, biostatistics, criminology/criminal justice, education, political science, public health/epidemiology, psychology, and sociology.…