Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics , addresses this relatively focused need of an extraordinarily broad range of scientists.
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Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics , addresses this relatively focused need of an extraordinarily broad range of scientists.
Read Less
Add this copy of Fitting Models to Biological Data Using Linear and to cart. $18.18, good condition, Sold by ThriftBooks-Baltimore rated 4.0 out of 5 stars, ships from Halethorpe, MD, UNITED STATES, published 2004 by Oxford University Press, USA.
Add this copy of Fitting Models to Biological Data Using Linear and to cart. $22.33, fair condition, Sold by Goodbooks rated 4.0 out of 5 stars, ships from Tontitown, AR, UNITED STATES, published 2004 by Oxford University Press.
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Fair. This copy may contain significant wear including bending writing tears and or water damage. This book is a functional copy not necessarily a beautiful copy. Copy may have loose or missing pages and may not include access codes or CDs.
Add this copy of Fitting Models to Biological Data Using Linear & to cart. $33.00, new condition, Sold by Books International rated 3.0 out of 5 stars, ships from Toronto, ON, CANADA, published 2004 by Oxford University Press, USA.
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Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine. Grubby book may have mild dirt or some staining, mostly on the edges of pages.
Add this copy of Fitting Models to Biological Data Using Linear and to cart. $58.52, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2004 by Oxford University Press, USA.
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