Statistical Methods In Agriculture And Experimental Biology
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Author | : Roger Mead |
Publisher | : CRC Press |
Total Pages | : 490 |
Release | : 2002-08-28 |
Genre | : Mathematics |
ISBN | : 1584881879 |
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
Author | : Roger Mead |
Publisher | : Chapman & Hall |
Total Pages | : 356 |
Release | : 1983 |
Genre | : Mathematics |
ISBN | : |
An introductory text for scientists working in agriculture and experimental biology, and for undergraduate and postgraduate students of these subjects, including all the basic statistical methods which are appropriate to the work of such scientists. This edition (1st, 1983) includes new material on the effective use of computers for statistical analysis, increased emphasis on the role of models in analyzing data, and a new chapter on the analysis of multiple and repeated measurements. Annotation copyright by Book News, Inc., Portland, OR
Author | : Bayo Lawal |
Publisher | : Springer |
Total Pages | : 816 |
Release | : 2014-09-15 |
Genre | : Medical |
ISBN | : 3319055550 |
This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.
Author | : Roger Mead |
Publisher | : CRC Press |
Total Pages | : 488 |
Release | : 2017-11-22 |
Genre | : Mathematics |
ISBN | : 1351414291 |
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
Author | : S.J. Welham |
Publisher | : CRC Press |
Total Pages | : 592 |
Release | : 2014-08-22 |
Genre | : Mathematics |
ISBN | : 1439898057 |
Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it 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.
Author | : R. Mead |
Publisher | : |
Total Pages | : |
Release | : 1990 |
Genre | : |
ISBN | : |
Author | : Kwanchai A. Gomez |
Publisher | : John Wiley & Sons |
Total Pages | : 698 |
Release | : 1984-02-17 |
Genre | : Technology & Engineering |
ISBN | : 9780471870920 |
Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, analyze, and interpret the results of most experiments with crops. Designed specifically for the non-statistician, this valuable guide focuses on the practical problems of the field researcher. Throughout, it emphasizes the use of statistics as a tool of research—one that will help pinpoint research problems and select remedial measures. Whenever possible, mathematical formulations and statistical jargon are avoided. Originally published by the International Rice Research Institute, this widely respected guide has been totally updated and much expanded in this Second Edition. It now features new chapters on the analysis of multi-observation data and experiments conducted over time and space. Also included is a chapter on experiments in farmers' fields, a subject of major concern in developing countries where agricultural research is commonly conducted outside experiment stations. Statistical Procedures for Agricultural Research, Second Edition will prove equally useful to students and professional researchers in all agricultural and biological disciplines. A wealth of examples of actual experiments help readers to choose the statistical method best suited for their needs, and enable even the most complicated procedures to be easily understood and directly applied. An International Rice Research Institute Book
Author | : Roger Mead |
Publisher | : |
Total Pages | : 415 |
Release | : 1998 |
Genre | : |
ISBN | : |
Author | : S. J. Amdekar |
Publisher | : Alpha Science International, Limited |
Total Pages | : 250 |
Release | : 2013-12-16 |
Genre | : Mathematics |
ISBN | : 9781842658529 |
Introduces basic statistical concepts as are required for understanding applications of statistical techniques. There is a simplicity in the presentation involving no mathematical derivations. All the topics are introduced as well as explained with live examples for the reader to feel comfortable with topics like mean, variance, probability, probability distributions, hypothesis testing, correlation and regression analysis, experimental designs and analysis of factorial experiments which are useful in every scientific investigation that involve data. This is a textbook on statistical methods for post graduate students of agricultural sciences, biological sciences, physical and social sciences and other related disciplines.
Author | : Roger G. Petersen |
Publisher | : CRC Press |
Total Pages | : 428 |
Release | : 1994-02-11 |
Genre | : Science |
ISBN | : 1482277379 |
This text provides statistical and biometrical procedures for designing, conducting, analyzing and interpreting field experiments. It addresses the most important research topics in agriculture, including agronomy, breeding and pasture trials; farming systems research; and intercropping research.