Experimental Statistics For Agriculture And Horticulture
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Author | : Clive R. Ireland |
Publisher | : CABI |
Total Pages | : 376 |
Release | : 2010 |
Genre | : Education |
ISBN | : 1845935373 |
Providing practical training supported by a sound theoretical basis, this textbook introduces students to the principles of investigation by experiment and the role of statistics in analysis. It draws on the author's extensive teaching experience and is illustrated with fully worked, contextualized examples throughout, helping readers to correctly design their own experiments and identify the most appropriate technique for analysis. Subjects include sampling and determining sample reliability, hypothesis testing, relationships between variables, the role and use of computer packages such as Microsoft Excel spreadsheet software and GenStat, and more complex experimental designs, such as randomized blocks and split plots. This book is an essential text for students of agriculture, horticulture and related disciplines
Author | : |
Publisher | : |
Total Pages | : 360 |
Release | : 2010 |
Genre | : Agriculture |
ISBN | : 9781845935375 |
Providing practical training supported by a sound theoretical basis, this textbook introduces students to the principals of investigation by experiment and the role of statistics in analysis. It draws on the author's extensive teaching experience and is illustrated with fully worked contextualized examples throughout, helping the reader to correctly design their own experiments and identify the most appropriate technique for analysis. The subjects covered include sampling and determining sample reliability, hypothesis testing, relationships between variables, the role and use of computer packages such as: Microsoft Excel, Toolpak and GenStat, and more complex experimental designs such as randomized blocks and split plots. It is suitable for upper-level undergraduate and graduate students of agriculture, horticulture and related disciplines
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 | : Edward F. Durner |
Publisher | : CABI |
Total Pages | : 414 |
Release | : 2021-05-19 |
Genre | : Science |
ISBN | : 1789249929 |
The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analysing and interpreting research can be overwhelming. SAS® is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic institutions. This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research.
Author | : Thomas Morton Little |
Publisher | : John Wiley & Sons |
Total Pages | : 380 |
Release | : 1978-04-20 |
Genre | : Science |
ISBN | : |
Logic, research, and experiment; Some basic concepts; The analysis of variance and t tests; The completely randomized design; The randomized complete block design; Mean separation; The latin square design; The split-plot design; The split-split plot; The split-block; Subplots as repeated observations; Transformations; Linear correlation and regression; Curvilinear relations; Shortcur regression methods for equally spaced observations or treatments; Correlalion and regression for more than two variables; Analysis of counts; Heterogeneity; Summary; Improving precision; Selected references; Appendix tables.
Author | : Barry Glaz |
Publisher | : John Wiley & Sons |
Total Pages | : 672 |
Release | : 2020-01-22 |
Genre | : Technology & Engineering |
ISBN | : 0891183590 |
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.
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 | : Pradeep Mishra |
Publisher | : CRC Press |
Total Pages | : 526 |
Release | : 2019-07-24 |
Genre | : Business & Economics |
ISBN | : 0429758987 |
An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics, design of experiments, sampling techniques, time series, inference outlines, forecasting models, data handling, and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background. In the agriculture scenario, students and researchers face problems that can be addressed with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to using statistical software such as MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).
Author | : Jürgen Kranz |
Publisher | : Springer Science & Business Media |
Total Pages | : 302 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 3642955347 |
Most books on epidemiology have treated the subject from a statistical, mathematical or computer applicational point of view. However, experiments must be performed first to provide the data for models which in turn can then be proven by further experimentation. This mutual interplay of theory and empirics gives epidemiology its scientific thrust and charm. This book provides a choice of methods for varying applications and objectives, covering all important aspects for the designing of experiments. Furthermore, the reader is supplied with solutions to his experimental problems and many "tricks of the trade". The newcomer to the field will also profit by this methodology guide.
Author | : S. C. Pearce |
Publisher | : |
Total Pages | : 360 |
Release | : 1983-06-06 |
Genre | : Science |
ISBN | : |
The experiment in context; Simple experiments and how they can be improved; The general case of block designs; Some useful design concepts; Classes of design; Other blocking systems; The spoilt experiment; Interactions and the confounding of interactions; Some special topics; The people involved.