Isbn: 9780471387718 - applied spatial statistics for public health data (wiley series in probability and statistics) (9 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780471387718.…

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

Zustand: New. In English.

Zustand: New. pp. xviii + 494 Illus.

Zustand: New. LANCE A. WALLER, PhD, is an associate professor in the Department of Biostatistics at Emory University in Atlanta, Georgia. He received his PhD in Operations Research in 1992 from Cornell University. Dr. Waller was named Student Government Professor of the .

Hardcover. Zustand: Brand New. 1st edition. 494 pages. 9.25x6.25x1.00 inches. In Stock.

Zustand: New. While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a growth, thanks in part to the development of geographical information systems (GIS's). Series: Wiley Series in Probability and Statistics. Num Pages: 520 pages, Illustrations. BIC Classification: MBNS. Category: (P) Professional & Vocational. Dimension: 273 x 166 x 32. Weight in Grams: 882. . 2004. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data.This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the fieldRequires only minimal background in public health and only some knowledge of statistics through multiple regressionTouches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposureIncludes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of 'data breaks')Exercises based on data analyses reinforce concepts.…