statistical models based counting di andersen (22 risultati)

Condizione: Very Good. 795 pp., paperback, spine faded, else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Condizione: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.

Hardcover. Condizione: Very good. Excellent condition. Cover is bright, binding is tight, and inside is clean and unmarked.

Hardcover. Condizione: As New. . . . . 8vo, hardcover. No dj., as issued. Near fine condition. Previous owner's name on front endpaper; covers and contents clean, unworn, no marking or writing. Binding square and tight. 767 pp.

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

Condizione: new.

Condizione: New. In.

Condizione: New.

Taschenbuch. Condizione: Neu. Statistical Models Based on Counting Processes | Per K. Andersen (u. a.) | Taschenbuch | XI | Englisch | 1995 | Humana | EAN 9780387945194 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condizione: New. 1st ed. 1993. Corr. 3rd printing 1995.

Condizione: New. pp. 784.

Taschenbuch. Condizione: Neu. Neuware -Modern survival analysis and more general event history analysis may be effectively handled in the mathematical framework of counting processes, stochastic integration, martingale central limit theory and product integration. This book presents this theory, which has been the subject of an intense research activity during the past one-and-a- half decades. The exposition of the theory is integrated with careful presentation of many practical examples, almost exclusively from the authors' own experience, with detailed numerical and graphical illustrations. Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, although almost all methods are given in concrete detail to be used in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliabilty engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.'This book is a masterful account of the counting process approach.is certain to be the standard reference for the area, and should be on the bookshelf of anyone interested in event-history analysis.' International Statistical Institute Short Book Reviews '.this impressive reference, which contains a a wealth of powerful mathematics, practical examples, and analytic insights, as well as a complete integration of historical developments and recent advances in event history analysis.' Journal of the American Statistical AssociationSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 784 pp. Englisch.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Modern survival analysis and more general event history analysis may be effectively handled in the mathematical framework of counting processes, stochastic integration, martingale central limit theory and product integration. This book presents this theory, which has been the subject of an intense research activity during the past one-and-a- half decades. The exposition of the theory is integrated with careful presentation of many practical examples, almost exclusively from the authors' own experience, with detailed numerical and graphical illustrations. Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, although almost all methods are given in concrete detail to be used in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliabilty engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.'This book is a masterful account of the counting process approach.is certain to be the standard reference for the area, and should be on the bookshelf of anyone interested in event-history analysis.' International Statistical Institute Short Book Reviews '.this impressive reference, which contains a a wealth of powerful mathematics, practical examples, and analytic insights, as well as a complete integration of historical developments and recent advances in event history analysis.' Journal of the American Statistical Association.

Gebundene Ausgabe. Condizione: Gut. 8°, 767 Seiten mit vielen Abb., Original-Pappeinband mit farbig illustr. Original-Umschlag - kleiner Namensstempel auf Vorsatz, Schnitt leicht gedunkelt, sonst sehr guter Zustand - 1993. ma21 ISBN: 3540978720 Sprache: Englisch Gewicht in Gramm: 1094.

Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Paperback. Condizione: Like New. Like New. book.

Paperback. Condizione: New. 1st ed. 1993. Corr. 3rd printing 1995.

hardcover. Condizione: Very Good. Very Good. book.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Modern survival analysis and more general event history analysis may be effectively handled in the mathematical framework of counting processes, stochastic integration, martingale central limit theory and product integration. This book presents this theory,.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern survival analysis and more general event history analysis may be effectively handled in the mathematical framework of counting processes, stochastic integration, martingale central limit theory and product integration. This book presents this theory, which has been the subject of an intense research activity during the past one-and-a- half decades. The exposition of the theory is integrated with careful presentation of many practical examples, almost exclusively from the authors' own experience, with detailed numerical and graphical illustrations. Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, although almost all methods are given in concrete detail to be used in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliabilty engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.'This book is a masterful account of the counting process approach.is certain to be the standard reference for the area, and should be on the bookshelf of anyone interested in event-history analysis.' International Statistical Institute Short Book Reviews '.this impressive reference, which contains a a wealth of powerful mathematics, practical examples, and analytic insights, as well as a complete integration of historical developments and recent advances in event history analysis.' Journal of the American Statistical Association 784 pp. Englisch.

Condizione: New. Print on Demand pp. 784 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condizione: New. PRINT ON DEMAND pp. 784.