Biostatistical Analysis, Books a la Carte Edition (5th Edition) [Loose Leaf]
Author: Jerrold H. Zar | Language: English | ISBN: 0321656865 | Format: PDF, EPUB
Biostatistical Analysis, Books a la Carte Edition
You can download Biostatistical Analysis, Books a la Carte Edition (5th Edition) [Loose Leaf] from 4shared, mediafire, hotfile, and mirror link
You can download Biostatistical Analysis, Books a la Carte Edition (5th Edition) [Loose Leaf] from 4shared, mediafire, hotfile, and mirror link
Introduces all biostatistical methods while assuming no statiscal background. Enormously comprehensive, topical coverage that covers all areas of the biology curriculum that benefit from that benefit from statistical analysis.
Books with free ebook downloads available Biostatistical Analysis, Books a la Carte Edition - Series: Books a la Carte
- Loose Leaf: 960 pages
- Publisher: Pearson; 5 edition (June 19, 2010)
- Language: English
- ISBN-10: 0321656865
- ISBN-13: 978-0321656865
- Product Dimensions: 1.2 x 7.5 x 9.8 inches
- Shipping Weight: 3.2 pounds (View shipping rates and policies)
- Amazon Best Sellers Rank: #1,265,292 in Books (See Top 100 in Books)
This book is popular because it is well written and authoritative. It is written for biologists, medical students and researchers who do not have any prior knowledge of probability or statistics and may have little mathematical training as well. It serves as an introductory text providing many homework exercises. It can also be used as a reference. It is very thorough and covers most of the important topics required for biological problems. The needed probability is introduced when necessary.
There is the usual emphasis on hypothesis testing and regression. Correlation and analysis of variance are also very well covered. Important issues of sample size determination are covered and many solutions are provided in easy to use box descriptions.
As the author points out in the preface, in order to make this text a good reference it is extensive (663 pages of text followed by appendices and a large number of tables). It also includes a wealth of useful reference articles and books. Consequently, there is too much material for a one semester course. The author provides instructors with guidelines for sections to cover in an introductory course.
Notable topics covered in this text that is rarely found in introductory biostatistics books include multivariate methods especially the multivariate analysis of variance (MANOVA)and inference for circular data.
Recent developments in meta analysis, Bayesian statistics and bootstrap methods are not covered. In fact, these topics are not covered at all. Also, the important topic of missing data is omitted. Outliers are only covered briefly and just a few references are given but the major references, the texts by Hawkins and the treatise of Barnett and Lewis are neglected.
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