Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 79,33
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Añadir al carritoCondición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Librería: Second Story Books, ABAA, Rockville, MD, Estados Unidos de America
EUR 73,15
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Añadir al carritoHardcover. Fourth edition. Octavo, 786 pages. In Very Good minus condition. Spine is black with white print. Boards glossy illustrated paper. Slight shelf wear, vendor label on rear. Illustrated: b&w graphs, tables. Note: Shelved in Netdesk Column F, ND-F. 1377451. FP New Rockville Stock.
Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
EUR 141,24
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Academic Press Jan 2017, 2017
ISBN 10: 012804733X ISBN 13: 9780128047330
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 112,10
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a 'how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised content Covers many new and improved R functions New techniques that deal with a wide range of situations Extensive revisions to cover the latest developments in robust regression Covers latest improvements in ANOVA Includes newest rank-based methods Describes and illustrated easy to use software 810 pp. Englisch.