# statistical methods in biology

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## Statistical Methods In Biology

Author : Norman T. J. Bailey
ISBN : 052146983X
Genre : Mathematics
File Size : 79. 94 MB
Format : PDF, ePub

Generations of biologists have relied on this useful book, which presents the basic concepts of statistics lucidly and convincingly. It recognizes that students must be aware of when to use standard techniques and how to apply the results they obtain. Because many biologists do not have a strong mathematical background, the arguments are gauged in terms that can be easily understood by those with only an elementary knowledge of algebra. Mathematical derivations are avoided and formulae are only used as a convenient shorthand. Although the subject is presented with great simplicity, the coverage is wide and will satisfy the needs of those working in many disciplines. New material for this third edition includes consideration of pocket electronic calculators and a special chapter devoted to a discussion of problems associated with numerical calculation, electronic calculators, and computers.

## Statistical Methods In Biology

Author : S.J. Welham
ISBN : 9781439808788
Genre : Mathematics
File Size : 40. 76 MB
Format : PDF, Mobi

Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience. Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R. By the time you reach the end of the book (and online material) you will have gained: A clear appreciation of the importance of a statistical approach to the design of your experiments, A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables, Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly, An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working. The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.

## Statistical Methods In Biology Medicine And Psychology

Author : Charles Benedict Davenport
ISBN : UOM:39015031052544
Genre : Biometry
File Size : 63. 58 MB
Format : PDF, Kindle

## Statistical Method In Biological Assay

Author : David John Finney
ISBN : UOM:39015003209148
Genre : Mathematics
File Size : 82. 91 MB
Format : PDF, ePub, Mobi

## Statistical Methods In Agriculture And Experimental Biology

ISBN : 9781351414289
Genre : Mathematics
File Size : 70. 28 MB
Format : PDF, Docs

The third edition of this popular introductory text maintains the character that won worldwide respect for its predecessors but features a number of enhancements that broaden its scope, increase its utility, and bring the treatment thoroughly up to date. It provides complete coverage of the statistical ideas and methods essential to students in agriculture or experimental biology. In addition to covering fundamental methodology, this treatment also includes more advanced topics that the authors believe help develop an appreciation of the breadth of statistical methodology now available. The emphasis is not on mathematical detail, but on ensuring students understand why and when various methods should be used. New in the Third Edition: A chapter on the two simplest yet most important methods of multivariate analysis Increased emphasis on modern computer applications Discussions on a wider range of data types and the graphical display of data Analysis of mixed cropping experiments and on-farm experiments

## Statistical Method In Biology

Author : Norman T. J. Bailey
ISBN : 0470270063
Genre : Medical
File Size : 60. 77 MB
Format : PDF

Clearly presents basic concepts, standard techniques, applications of results, and an explanation of the reasoning behind the more important procedures. Avoids mathematical derivations, using formulae only as a convenience. Latest edition includes non-parametric methods, distribution-free tests, and work with pocket calculators. Provides a useful summary of statistical formulae.

## Introductory Statistics For Biology

Author : R. E. Parker
ISBN : 0521427789
Genre : Mathematics
File Size : 82. 19 MB
Format : PDF, ePub, Mobi

This introductory text presents the use of statistical methods as an integral part of biological investigation, yet one whose superficial complexities have deterred many biologists from using them. The author argues that the difficulties, such as they are, do not lie in mathematical manipulation, but in grasping a few simple, but unfamiliar concepts. He emphasizes the need for precisely defining problems and for careful selection of the most appropriate methods - a wide range of which are described and illustrated. Each chapter ends with a set of problems which are intended to help the student gain practical experience. No previous knowledge is assumed, and the student is encouraged to develop a competent and critical approach to analysing numerical data. In this second edition, the scope of the book has been extended, problems have been solved in a more satisfactory way, and a greater number of illustrative examples have been added.

## Randomization Bootstrap And Monte Carlo Methods In Biology

Author : Bryan F.J. Manly
ISBN : 9781482296419
Genre : Mathematics
File Size : 44. 62 MB
Format : PDF, ePub, Mobi

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.

## Statistical Methods In Molecular Evolution

Author : Rasmus Nielsen
ISBN : 9780387277332
Genre : Science
File Size : 21. 50 MB
Format : PDF, Kindle

## Statistical Methods In Bioinformatics

Author : Warren J. Ewens
ISBN : 9781475732474
Genre : Medical
File Size : 52. 48 MB
Format : PDF, ePub, Docs