Practical statistics for field biology
Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings. An understanding of statistical principles and methods is essential fo...
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| Tác giả chính: | |
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| Định dạng: | Sách |
| Ngôn ngữ: | Undetermined |
| Được phát hành: |
New York
Wiley
1998
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| Những chủ đề: | |
| Các nhãn: |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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| LEADER | 02004nam a2200241Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_159138 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 020 | |c 38.17 | ||
| 082 | |a 570.72 | ||
| 082 | |b F785 | ||
| 100 | |a Fowler, Jim | ||
| 245 | 0 | |a Practical statistics for field biology | |
| 245 | 0 | |c Jim Fowler, Lou Cohen, and Phil Jarvis | |
| 260 | |a New York | ||
| 260 | |b Wiley | ||
| 260 | |c 1998 | ||
| 520 | |a Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings. An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sicences. The field biologist faces very particular problems and challenges with statistics as "real-life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease. To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included. | ||
| 526 | |a Chuyên đề nghiên cứu nguồn lợi thủy sản | ||
| 526 | |b TSQ618 | ||
| 650 | |a Biology,Ecology | ||
| 650 | |x Fieldwork,Statistical methods,Statistical methods | ||
| 904 | |i QHieu | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||