Statistical Research Methods in the Life Sciences
Appropriate for all courses in statistical methods for the agricultural, life, health, and environmental sciences, this book offers a practical and modern approach that minimizes computation and emphasizes conceptual understanding. Rao continually emphasizes issues and topics most relevant to modern...
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| Format: | Book |
| Language: | English |
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Pacific Grove, CA
Duxbury Press
1998
©1998 |
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| Online Access: | Click Here to View Status and Holdings. |
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| 041 | 0 | # | |a English |
| 090 | 0 | 0 | |a QH323.5 |b .R34 1998 |
| 100 | 1 | # | |a Rao, P. V. |e author |
| 245 | 1 | 0 | |a Statistical Research Methods in the Life Sciences |c P. V. Rao |
| 264 | # | 1 | |a Pacific Grove, CA |b Duxbury Press |c 1998 |
| 264 | # | 1 | |c ©1998 |
| 300 | # | # | |a 889 pages |b illustrations |c 25 cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 504 | # | # | |a Includes bibliographical references and index |
| 520 | # | # | |a Appropriate for all courses in statistical methods for the agricultural, life, health, and environmental sciences, this book offers a practical and modern approach that minimizes computation and emphasizes conceptual understanding. Rao continually emphasizes issues and topics most relevant to modern day research in the life sciences. For example, point and interval estimation take priority over testing of statistical hypothesis and methods and guidelines for determination of sample size are indicated whenever possible. Statistical Research Methods in the Life Sciences also presents a self-contained and complete discussion of each experimental situation considered. In the two-sample setting, for example, in addition to presenting the procedures under the usual analysis of variance assumption, Rao also presents methods for checking the validity of the assumptions. |
| 650 | # | 0 | |a Life sciences |x statistical methods |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=190424 |
| 964 | # | # | |c BOK |d 01 |
Data Analysis for the Life Sciences with R