Advances in Statistical Methods in Agriculture and Experimental Biology


Book Description

This title 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.




Statistical Methods in Agriculture and Experimental Biology


Book Description

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 Methods in Agriculture and Experimental Biology, Third Edition


Book Description

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 Methods in Agriculture and Experimental Biology


Book Description

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




Statistical Methods in Agriculture and Experimental Biology


Book Description

This is an introductory text for scientists working in agriculture and experimental biology. It is appropriate for use as a textbook for undergraduate or postgraduate students of these subjects and includes all the basic statistical methods which are appropriate to the work of such scientists. The book also includes material on more advanced topics not usually discussed in an introductory text, including multiple regression, incomplete block experimental design, confounded and split-plot experimental designs, non-linear and log-linear models, and repeated measurements. The authors believe that research scientists should be aware of the potential benefits of these more advanced methods in their work.







Applied Statistics in Agricultural, Biological, and Environmental Sciences


Book Description

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.




Statistical Methods in Agriculture and Experimental Biology


Book Description

An introductory text for scientists working in agriculture and experimental biology, Statistical Methods in Agriculture and Experimental Biology includes all the basic statistical methods relevant to their work. Undergraduate and postgraduate majors in those subjects will find its information most essential to their studies.Material on more advanced topics- not usually discussed in an introductory text-focuses on multiple regression, incomplete block experimental design, confounded and split-plot experimental designs, non-linear and log-linear models, and repeated measurements. The authors believe that research scientists should be aware of the potential benefits of those more advanced methods in their work.Particular emphasis is placed upon the assumptions implicit in statistical methods: a full chapter is devoted to that important aspect. It also stresses the importance of designing experiments properly, particularly in using small, natural blocks and factorial treatment structure, and of using available resources efficiently, and extracting all information from the data.







Statistical Methods for Food and Agriculture


Book Description

This classic book will meet the needs of food and agricultural industries in both their research and business needs. Learn the fundamentals of applying statistics to the business and research needs in the food and agricultural industries. Statistical Methods for Food and Agriculture is a practical, hands-on resource that explores how statistics, a relatively recent development for science and business, facilitates the decision-making process. The range of techniques and applications explained and demonstrated in each of the four major sections of this volume provides a substantial course of study for those in business, government, and universities dealing with food, agriculture, and economics. Part I provides an introduction to the uses of statistics today, including basic concepts and definitions. Part II examines the statistical needs of the food researcher. The emphasis is on design of planned experiments, the analysis of data generated by planned experiments, and decision making in a research environment. Part III deals with statistical procedures that have a wide range of uses for the researcher and business analyst in both business and research situations. Part IV focuses on those statistical methods that have primarily a business application. This important volume is sufficiently detailed to enable the reader to learn and develop without outside assistance. References lead to more detailed presentations for those desiring additional specialized information, and helpful exercises at the end of each chapter permit the book?s use as a textbook as well.