ISBN: 9780470856048 - disease mapping with winbugs and mlwin (statistics in practice) (23 Ergebnisse)

Hardcover. Zustand: Very Good. Disease Mapping with WINBUGS and ML Win (Statistics in Practice): 11 This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780470856048. …

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

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

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Zustand: As New. Unread book in perfect condition.

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Zustand: As New. Unread book in perfect condition.

Zustand: New.

Hardback. Zustand: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages - such as WinBUGS and MLwiN - are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping.Adopts a practical approach, with many detailed worked examples.Includes introductory material on WinBUGS and MLwiN.Discusses three applications in detail - relative risk estimation, focused clustering, and ecological analysis.Suitable for public health workers and epidemiologists with a sound statistical knowledge.Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN  provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.…

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Series: Statistics in Practice. Num Pages: 292 pages, Illustrations. BIC Classification: MBN; PB; UF. Category: (P) Professional & Vocational. Dimension: 238 x 164 x 25. Weight in Grams: 576. . 2003. . . . .…

Zustand: New. In English.

Zustand: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler .

Hardcover. Zustand: Brand New. 1st edition. 277 pages. 9.00x6.00x0.75 inches. In Stock.

Zustand: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Series: Statistics in Practice. Num Pages: 292 pages, Illustrations. BIC Classification: MBN; PB; UF. Category: (P) Professional & Vocational. Dimension: 238 x 164 x 25. Weight in Grams: 576. . 2003. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages - such as WinBUGS and MLwiN - are now easy to implement in practice. - Provides an introduction to Bayesian and multilevel modelling in disease mapping. - Adopts a practical approach, with many detailed worked examples. - Includes introductory material on WinBUGS and MLwiN. - Discusses three applications in detail - relative risk estimation, focused clustering, and ecological analysis. - Suitable for public health workers and epidemiologists with a sound statistical knowledge. - Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.…

Hardback. Zustand: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages - such as WinBUGS and MLwiN - are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping.Adopts a practical approach, with many detailed worked examples.Includes introductory material on WinBUGS and MLwiN.Discusses three applications in detail - relative risk estimation, focused clustering, and ecological analysis.Suitable for public health workers and epidemiologists with a sound statistical knowledge.Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN  provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.…

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 614.

Hardcover. Zustand: new. Hardcover. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages such as WinBUGS and MLwiN are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping.Adopts a practical approach, with many detailed worked examples.Includes introductory material on WinBUGS and MLwiN.Discusses three applications in detail relative risk estimation, focused clustering, and ecological analysis.Suitable for public health workers and epidemiologists with a sound statistical knowledge.Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Zustand: Brand New. 1st edition. 277 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand.