Experimental Design For The Life Sciences

Author: Graeme Ruxton
Publisher: Oxford University Press
ISBN: 0199569126
Size: 32.53 MB
Format: PDF, Docs
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Providing students with clear and practical advice on how best to organise experiments and collect data so as to make the subsequent analysis easier and their conclusions more robust, this text assumes no specialist knowledge.

Geometric Morphometrics For Biologists

Author: Miriam Leah Zelditch
Publisher: Academic Press
ISBN: 0123869048
Size: 40.95 MB
Format: PDF, Kindle
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The first edition of Geometric Morphometrics for Biologists has been the primary resource for teaching modern geometric methods of shape analysis to biologists who have a stronger background in biology than in multivariate statistics and ...

Statistics At The Bench

Author: Martina Bremer
Size: 22.64 MB
Format: PDF, Kindle
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Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. This book is not a textbook.

Cell And Molecular Biology

Author: Gerald Karp
Publisher: John Wiley & Sons
ISBN: 0470483377
Size: 31.88 MB
Format: PDF, Kindle
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The majority of discussions have been modified to reflect the latest changes in the field. The book also builds on its strong illustration program by opening each chapter with “VIP” art that serves as a visual summary for the chapter.

Choosing And Using Statistics

Author: Calvin Dytham
Publisher: John Wiley & Sons
ISBN: 1405198389
Size: 23.74 MB
Format: PDF, ePub
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Features new to this edition: Now features information on using the popular free program, R Uses a simple key and flow chart to help you choose the right statistical test Aimed at students using statistics for projects and in practical ...

Experiments In Ecology

Author: A. J. Underwood
Publisher: Cambridge University Press
ISBN: 9780521556965
Size: 26.79 MB
Format: PDF, Docs
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First published in 1996, this book is a logical and consistent approach to experimental design using statistical principles.