9780521837675 - Event History Modeling: A Guide for Social Scientists di Box-Steffensmeier, Janet M.; Jones, Bradford S. (22 risultati)

Hardcover. Condizione: Good+. Binding slightly compromised at front end, pages may become loose without careful use, otherwise binding is tight, sturdy, and square; text also very good; edgewear to pictorial boards is very minor. NOT an ex-library copy, NO remainder mark. Ships from Dinkytown in Minneapolis, Minnesota.

Hardcover. Condizione: Very Good. First Edition. A firm and square hardback with sharp corners and strong joints, but please note: no dustjacket present, hence a non-text page has a small 'damaged' stamp. Despite such this book is actually in better than very good condition. Thus the contents are crisp, fresh and tight; no pen-marks. Now offered for sale at a very sensible price.

Condizione: New.

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

Condizione: New.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods.

Condizione: New. This 2004 book provides a guide to event history analysis for researchers and advanced students in the social sciences. Series: Analytical Methods for Social Research. Num Pages: 234 pages, 18 b/w illus. 36 tables. BIC Classification: JHBC; JP. Category: (P) Professional & Vocational. Dimension: 160 x 234 x 19. Weight in Grams: 460. . 2004. Illustrated. hardcover. . . . . Books ship from the US and Ireland.

Condizione: New. This 2004 book provides a guide to event history analysis for researchers and advanced students in the social sciences. Series: Analytical Methods for Social Research. Num Pages: 234 pages, 18 b/w illus. 36 tables. BIC Classification: JHBC; JP. Category: (P) Professional & Vocational. Dimension: 160 x 234 x 19. Weight in Grams: 460. . 2004. Illustrated. hardcover. . . . .

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: new. Hardcover. Event History Modeling provides an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods. This 2004 book provides a guide to event history analysis for researchers and advanced students in the social sciences. The authors explain the foundational principles of event-history analysis, and analyse numerous examples. They also discuss common problems encountered with time-to-event data, along with suggestions for implementing duration modeling methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand pp. 234 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Hardcover. Condizione: Brand New. 1st edition. 232 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand.

Condizione: New. Print on Demand pp. 234.

Condizione: New. PRINT ON DEMAND pp. 234 18 Diagrams.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condizione: new. Hardcover. Event History Modeling provides an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods. This 2004 book provides a guide to event history analysis for researchers and advanced students in the social sciences. The authors explain the foundational principles of event-history analysis, and analyse numerous examples. They also discuss common problems encountered with time-to-event data, along with suggestions for implementing duration modeling methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This 2004 book provides a guide to event history analysis for researchers and advanced students in the social sciences. The authors explain the foundational principles of event-history analysis, and analyse numerous examples. They also discuss common proble.

Hardcover. Condizione: new. Hardcover. Event History Modeling provides an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods. This 2004 book provides a guide to event history analysis for researchers and advanced students in the social sciences. The authors explain the foundational principles of event-history analysis, and analyse numerous examples. They also discuss common problems encountered with time-to-event data, along with suggestions for implementing duration modeling methods. 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.