Author: Alan G. Clewer
Publisher: John Wiley & Sons
ISBN: 1118685660
Category : Science
Languages : en
Pages : 315
Book Description
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.
Practical Statistics and Experimental Design for Plant and Crop Science
Author: Alan G. Clewer
Publisher: John Wiley & Sons
ISBN: 1118685660
Category : Science
Languages : en
Pages : 315
Book Description
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.
Publisher: John Wiley & Sons
ISBN: 1118685660
Category : Science
Languages : en
Pages : 315
Book Description
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.
Handbook of Statistics for Teaching and Research in Plant and Crop Science
Author: Usha Palaniswamy
Publisher: CRC Press
ISBN: 9781560222934
Category : Mathematics
Languages : en
Pages : 656
Book Description
More than a textbook—it’s also a valuable reference book for researchers and crop science professionals! The Handbook of Statistics for Teaching and Research in Plant and Crop Science presents the fundamental concepts of important statistical methods and experimental designs to the students and researchers who need to apply them to their own specific problems. This comprehensive handbook takes what can be the difficult and confusing topics of statistics and experimental design and explains them in easily understandable terms, making them accessible to nearly every reader. More than a student textbook, it is an essential reference for researchers and professionals in a multitude of fields. Designed as a two-semester statistical textbook, the first section of the Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical concepts, providing a foundation of useful knowledge on which you can base your own research. The second section concentrates on experimental designs in plant and crop sciences. The material is presented in a way that helps readers with a minimum of mathematical background to understand important theories and concepts. Derivations of formulas are avoided, and mathematical symbols are used only when essential. To illustrate the computational procedures, data is drawn from actual experiments. At the end of each chapter, examples and exercises are given to provide clear insight into real-life problems. A comprehensive appendix of clearly presented statistical tables is included. Part One of Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical methods, principles, and procedures, exploring: methods of display of statistical information, such as tables, diagrams, graphs, etc. symbols and their use in denoting variables descriptions of types of statistical data methods of computation from raw and graphed data the importance of studying variables and dispersion in research the use of normal probability integral tables and their application to practical problems descriptions of different types of experiments, such as determinate and nondeterminate the significance of expected value in research special techniques in descriptive statistics explanations of population, sample, and statistical inference the significance of null hypothesis in research methods of correlation studies assumptions and principles in regression analysis Part Two concentrates on experimental design, principles and procedures, exploring: basic principles of experimental design the fundamental concepts of linear models and analysis of variance method and layout of Completely Randomized Design (CRD) the advantages and disadvantages of Randomized Complete Block Design (RCBD) methods and procedures for comparison of several treatment means the important features of Latin Square Design factorial experiments split plot design completely confounded design analysis of covariance the Chi Square Test of Significance the transformation of experimental data quality control and so much more! The Handbook of Statistics for Teaching and Research in Plant and Crop Science serves not only as a textbook for instructors and students in experimental design and statistics but also as a reference book on plant and crop sciences for professionals and researchers. The comprehensive text is also useful for professionals in other statistic-heavy fields.
Publisher: CRC Press
ISBN: 9781560222934
Category : Mathematics
Languages : en
Pages : 656
Book Description
More than a textbook—it’s also a valuable reference book for researchers and crop science professionals! The Handbook of Statistics for Teaching and Research in Plant and Crop Science presents the fundamental concepts of important statistical methods and experimental designs to the students and researchers who need to apply them to their own specific problems. This comprehensive handbook takes what can be the difficult and confusing topics of statistics and experimental design and explains them in easily understandable terms, making them accessible to nearly every reader. More than a student textbook, it is an essential reference for researchers and professionals in a multitude of fields. Designed as a two-semester statistical textbook, the first section of the Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical concepts, providing a foundation of useful knowledge on which you can base your own research. The second section concentrates on experimental designs in plant and crop sciences. The material is presented in a way that helps readers with a minimum of mathematical background to understand important theories and concepts. Derivations of formulas are avoided, and mathematical symbols are used only when essential. To illustrate the computational procedures, data is drawn from actual experiments. At the end of each chapter, examples and exercises are given to provide clear insight into real-life problems. A comprehensive appendix of clearly presented statistical tables is included. Part One of Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical methods, principles, and procedures, exploring: methods of display of statistical information, such as tables, diagrams, graphs, etc. symbols and their use in denoting variables descriptions of types of statistical data methods of computation from raw and graphed data the importance of studying variables and dispersion in research the use of normal probability integral tables and their application to practical problems descriptions of different types of experiments, such as determinate and nondeterminate the significance of expected value in research special techniques in descriptive statistics explanations of population, sample, and statistical inference the significance of null hypothesis in research methods of correlation studies assumptions and principles in regression analysis Part Two concentrates on experimental design, principles and procedures, exploring: basic principles of experimental design the fundamental concepts of linear models and analysis of variance method and layout of Completely Randomized Design (CRD) the advantages and disadvantages of Randomized Complete Block Design (RCBD) methods and procedures for comparison of several treatment means the important features of Latin Square Design factorial experiments split plot design completely confounded design analysis of covariance the Chi Square Test of Significance the transformation of experimental data quality control and so much more! The Handbook of Statistics for Teaching and Research in Plant and Crop Science serves not only as a textbook for instructors and students in experimental design and statistics but also as a reference book on plant and crop sciences for professionals and researchers. The comprehensive text is also useful for professionals in other statistic-heavy fields.
Applied Plant Science Experimental Design and Statistical Analysis Using SAS® OnDemand for Academics
Author: Edward F. Durner
Publisher: CABI
ISBN: 1789249929
Category : Science
Languages : en
Pages : 414
Book Description
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.
Publisher: CABI
ISBN: 1789249929
Category : Science
Languages : en
Pages : 414
Book Description
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.
Practical Mathematics for Precision Farming
Author: David E. Clay
Publisher: John Wiley & Sons
ISBN: 0891183612
Category : Technology & Engineering
Languages : en
Pages : 272
Book Description
As the public and producers becomes more aware of the environmental and economic benefits of precision farming, there has been increased demand for quality training to accurately evaluate spatial variability within fields. Practical Mathematics in Precision Farming provides hand-on training and examples for certified crop consultants (CCAs), farmers, crop consultants, and students (both undergraduate and graduate) on how to conduct to conduct and analyze on-farm studies, write simple programs, use precision techniques to scout for pests and collect soil samples, develop management zones, determine the cost of production, assess the environmental consequences of precision techniques, understand soil test results, and develop site-specific nutrient and plant population algorithms. Using real agronomic examples, the reader is taught the crucial task of managing products and inputs for application at the right rate, place, and time.
Publisher: John Wiley & Sons
ISBN: 0891183612
Category : Technology & Engineering
Languages : en
Pages : 272
Book Description
As the public and producers becomes more aware of the environmental and economic benefits of precision farming, there has been increased demand for quality training to accurately evaluate spatial variability within fields. Practical Mathematics in Precision Farming provides hand-on training and examples for certified crop consultants (CCAs), farmers, crop consultants, and students (both undergraduate and graduate) on how to conduct to conduct and analyze on-farm studies, write simple programs, use precision techniques to scout for pests and collect soil samples, develop management zones, determine the cost of production, assess the environmental consequences of precision techniques, understand soil test results, and develop site-specific nutrient and plant population algorithms. Using real agronomic examples, the reader is taught the crucial task of managing products and inputs for application at the right rate, place, and time.
Applied Statistics in Agricultural, Biological, and Environmental Sciences
Author: Barry Glaz
Publisher: John Wiley & Sons
ISBN: 0891183590
Category : Technology & Engineering
Languages : en
Pages : 672
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.
Publisher: John Wiley & Sons
ISBN: 0891183590
Category : Technology & Engineering
Languages : en
Pages : 672
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.
Experimental Statistics for Agriculture and Horticulture
Author: Clive R. Ireland
Publisher: CABI
ISBN: 1845935373
Category : Education
Languages : en
Pages : 376
Book Description
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
Publisher: CABI
ISBN: 1845935373
Category : Education
Languages : en
Pages : 376
Book Description
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
Experimental Design for the Life Sciences
Author: Graeme Ruxton
Publisher: Oxford University Press, USA
ISBN: 0199569126
Category : Education
Languages : en
Pages : 197
Book Description
Providing students with clear and practical advice on how best to organise experiments and collect data so as to make the subsequent analysis easier and their conclusions more robust, this text assumes no specialist knowledge.
Publisher: Oxford University Press, USA
ISBN: 0199569126
Category : Education
Languages : en
Pages : 197
Book Description
Providing students with clear and practical advice on how best to organise experiments and collect data so as to make the subsequent analysis easier and their conclusions more robust, this text assumes no specialist knowledge.
Choosing and Using Statistics
Author: Calvin Dytham
Publisher: John Wiley & Sons
ISBN: 1405198389
Category : Science
Languages : en
Pages : 323
Book Description
Choosing and Using Statistics remains an invaluable guide for students using a computer package to analyse data from research projects and practical class work. The text takes a pragmatic approach to statistics with a strong focus on what is actually needed. There are chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The book is built around a key to selecting the correct statistical test and then gives clear guidance on how to carry out the test and interpret the output from four commonly used computer packages: SPSS, Minitab, Excel, and (new to this edition) the free program, R. Only the basics of formal statistics are described and the emphasis is on jargon-free English but any unfamiliar words can be looked up in the extensive glossary. This new 3rd edition of Choosing and Using Statistics is a must for all students who use a computer package to apply statistics in practical and project work. Features new to this edition: Now features information on using the popular free program, R Uses a simple key and flow chart to help you choose the right statistical test Aimed at students using statistics for projects and in practical classes Includes an extensive glossary and key to symbols to explain any statistical jargon No previous knowledge of statistics is assumed
Publisher: John Wiley & Sons
ISBN: 1405198389
Category : Science
Languages : en
Pages : 323
Book Description
Choosing and Using Statistics remains an invaluable guide for students using a computer package to analyse data from research projects and practical class work. The text takes a pragmatic approach to statistics with a strong focus on what is actually needed. There are chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The book is built around a key to selecting the correct statistical test and then gives clear guidance on how to carry out the test and interpret the output from four commonly used computer packages: SPSS, Minitab, Excel, and (new to this edition) the free program, R. Only the basics of formal statistics are described and the emphasis is on jargon-free English but any unfamiliar words can be looked up in the extensive glossary. This new 3rd edition of Choosing and Using Statistics is a must for all students who use a computer package to apply statistics in practical and project work. Features new to this edition: Now features information on using the popular free program, R Uses a simple key and flow chart to help you choose the right statistical test Aimed at students using statistics for projects and in practical classes Includes an extensive glossary and key to symbols to explain any statistical jargon No previous knowledge of statistics is assumed
Essential Guide to Reading Biomedical Papers
Author: Philip D. Langton
Publisher: John Wiley & Sons
ISBN: 1119959969
Category : Science
Languages : en
Pages : 374
Book Description
Essential Guide to Reading Biomedical Papers: Recognising and Interpreting Best Practice is an indispensable companion to the biomedical literature. This concise, easy-to-follow text gives an insight into core techniques and practices in biomedical research and how, when and why a technique should be used and presented in the literature. Readers are alerted to common failures and misinterpretations that may evade peer review and are equipped with the judgment necessary to be properly critical of the findings claimed by research articles. This unique book will be an invaluable resource for students, technicians and researchers in all areas of biomedicine. Allows the reader to develop the necessary skills to properly evaluate research articles Coverage of over 30 commonly-used techniques in the biomedical sciences Global approach and application, with contributions from leading experts in diverse fields
Publisher: John Wiley & Sons
ISBN: 1119959969
Category : Science
Languages : en
Pages : 374
Book Description
Essential Guide to Reading Biomedical Papers: Recognising and Interpreting Best Practice is an indispensable companion to the biomedical literature. This concise, easy-to-follow text gives an insight into core techniques and practices in biomedical research and how, when and why a technique should be used and presented in the literature. Readers are alerted to common failures and misinterpretations that may evade peer review and are equipped with the judgment necessary to be properly critical of the findings claimed by research articles. This unique book will be an invaluable resource for students, technicians and researchers in all areas of biomedicine. Allows the reader to develop the necessary skills to properly evaluate research articles Coverage of over 30 commonly-used techniques in the biomedical sciences Global approach and application, with contributions from leading experts in diverse fields
Horticultural Plant Breeding
Author: Thomas J. Orton
Publisher: Academic Press
ISBN: 0128155701
Category : Technology & Engineering
Languages : en
Pages : 412
Book Description
Horticultural Plant Breeding is a complete and comprehensive resource for the development of new cultivars or clones of horticultural crops. It covers the basic theories that underpin plant breeding and applies Mendelian, quantitative and population inheritance practices in smaller populations where the individual plant has high value. Specific traditional breeding methods are also covered, with an emphasis on how these methods are adapted for horticultural species. In addition, the integration of biotechnologies with traditional breeding methodologies is explored, with an emphasis on specific applications for fruits, vegetables and ornamental crop species. Presented in focused sections, Horticultural Plant Breeding addresses historical perspectives and context, and genetics as a critical foundation of plant breeding. It highlights treatments of the various components of breeding programs, such as breeding objectives, germplasm, population engineering, mating systems, enhanced selection methods, established breeding methods applicable to inbreeding and outcrossing situations, and post-breeding activities. - Provides a complete and comprehensive resource for those involved in the development of new cultivars or clones of horticultural crops - Guides readers to the most appropriate breeding strategy including potential integration of traditional and biotechnology strategies that will best achieve a cost-effective outcome - Will include access to 20 narrated slide sets to facilitate additional understanding
Publisher: Academic Press
ISBN: 0128155701
Category : Technology & Engineering
Languages : en
Pages : 412
Book Description
Horticultural Plant Breeding is a complete and comprehensive resource for the development of new cultivars or clones of horticultural crops. It covers the basic theories that underpin plant breeding and applies Mendelian, quantitative and population inheritance practices in smaller populations where the individual plant has high value. Specific traditional breeding methods are also covered, with an emphasis on how these methods are adapted for horticultural species. In addition, the integration of biotechnologies with traditional breeding methodologies is explored, with an emphasis on specific applications for fruits, vegetables and ornamental crop species. Presented in focused sections, Horticultural Plant Breeding addresses historical perspectives and context, and genetics as a critical foundation of plant breeding. It highlights treatments of the various components of breeding programs, such as breeding objectives, germplasm, population engineering, mating systems, enhanced selection methods, established breeding methods applicable to inbreeding and outcrossing situations, and post-breeding activities. - Provides a complete and comprehensive resource for those involved in the development of new cultivars or clones of horticultural crops - Guides readers to the most appropriate breeding strategy including potential integration of traditional and biotechnology strategies that will best achieve a cost-effective outcome - Will include access to 20 narrated slide sets to facilitate additional understanding