Sokal R.R., Rohlf F.J. Introduction to biostatistics

Springer, 2010. - 334 pages. Mathematical modeling can be a useful tool for researchers in the biological scientists. Yet in biological modeling there is no one modeling technique that is suitable for all problems. Instead, different problems call for different approaches. Furthermore, it can be helpful to analyze the same system using a variety of approaches, to be able to exploit the advantages and drawbacks of each. In practice, it is often u...

Wiley, 2009. - 960 pages. 9th edition Develop the statistical tools needed in the allied health fields Anyone entering the allied health field needs to have a working understanding of how data can be turned into useful information. Now in its ninth edition, Wayne W. Daniel’s Biostatistics: A Foundation for Analysis in the Health Sciences provides a comprehensive introduction to biostatistics as it is used in the biological sciences. Design...

Cambridge University Press, 1982. - 160 Pages. This introduction to mathematical methods that are useful for studying population phenomena is intended for advanced undergraduate and graduate students, and will be accessible to scientists who do not have a strong mathematics background. The material is graded in mathematical difficulty. The earlier parts of the book involve elementary diference equations while later chapters present topics that...

Wiley, 2011. - 388 pages. Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details. Basic concepts are illustrated with representations from history, followed by technical discussions on what different...

Springer – 2010, 616 pages ISBN: 1441917411 Series: Statistics for Biology and Health This is the third edition of this text on logistic regression methods, originally published in 1994, with its second edition published in 2002. As in the first two editions, each chapter contains a presen- tation of its topic in lecture?book format together with objectives, an outline, key formulae, practice exercises, and a test. The lecture book has a sequenc...

Hoboken, John Wiley & Sons, 2003. - 551p. Курс математической статистики для биологов. Включает темы: описательные методы для категоризованных данных, описательные методы для непрерывных данных, теория вероятностей и вероятностные модели, оценивание параметров, проверка значимости, сравнение пропорций, сравнение средних, корреляция и регрессия, логистическая регрессия, пуассоновские модели, анализ данных типа времени жизни, планирование эксп...

Oxford University Press, 2010. - 464 pages. Computer modeling is now an integral part of research in evolutionary biology. The advent of increased processing power in the personal computer, coupled with the availability of languages such as R, SPLUS, Mathematica, Maple, Mathcad, and MATLAB, has ensured that the development and analysis of computer models of evolution is now within the capabilities of most graduate students. However, there are t...

San-Francisco: Freeman, 1973. – 573 p. Preface The aims and principles of numerical taxonomy. Taxonomic principles. Taxonomic evidence. The estimation taxonomic resemblance. Taxonomic structure. The study of phylogeny. Population dynamics. dentification and discrimination. mplications for nomenclature. A critical examination of numerical taxonomy. Numerical taxonomy in fields other than biological systematics. The future of systematics. Appendixe...

San Francisco: London: Freeman, 1963. – 359 p. Contents: ntroduction. A critique of current taxonomy. New methods in taxonomy. The aims and principles of numerical taxonomy. Taxonomic evidence: characters and taxa. The estimation of taxonomic resemblance. The construction of a taxonomic system. Phylogenetic considerations. Problems of nomenclature. Present problems and some future prospects. Appendix. Computational methods for numerical taxonomy.

Springer – 2011, 760 pages ISBN: 1461403936 Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with. The author integrates introductory statistics for engineers and introductory biostatistics as a single textbook heavily oriented to computation and hands on approaches. For e...