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An Introduction To Genstat
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Book Synopsis Statistical Modelling Using Genstat by : K. J. McConway
Download or read book Statistical Modelling Using Genstat written by K. J. McConway and published by Wiley. This book was released on 1999-10-25 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This core text is a self-contained course in statistics, covering both the general linear model (including regression and analysis of variance) and the generalized linear model. The authors review the prerequisite methods and ideas in a concise and clear way, and the material is application-oriented, with the software package GENSTAT for Windows integrated into the text. The basics of GENSTAT are introduced, then used in conjunction with a review of simple linear regression, moving on to more sophisticated analyses, such as multiple linear regression, analysis of variance, logistic regression and loglinear modelling. The final chapter consists of four data analysis case studies using techniques drawn from the whole of the book.
Download or read book Applied Statistics written by E. J. Snell and published by CRC Press. This book was released on 2021-12-16 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis. The great flexibility of GENSTAT is demonstrated in this handbook by analysing the wide range of examples discussed in Applied Statistics - Principles and Examples (Cox and Snell, 1981). GENSTAT programs are listed for each of the examples. Most of the data sets are small but often it is these seemingly small problems which involve the most tricky statistical and computational procedures. This handbook is self-contained although for a full description of the analysis and interpretation it should be used in parallel with Applied Statistics - Principles and Examples.
Book Synopsis Introduction to Mixed Modelling by : N. W. Galwey
Download or read book Introduction to Mixed Modelling written by N. W. Galwey and published by John Wiley & Sons. This book was released on 2007-04-04 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixed modelling is one of the most promising and exciting areas ofstatistical analysis, enabling more powerful interpretation of datathrough the recognition of random effects. However, many perceivemixed modelling as an intimidating and specialized technique. Thisbook introduces mixed modelling analysis in a simple andstraightforward way, allowing the reader to apply the techniqueconfidently in a wide range of situations. Introduction to Mixed Modelling shows that mixedmodelling is a natural extension of the more familiar statisticalmethods of regression analysis and analysis of variance. In doingso, it provides the ideal introduction to this importantstatistical technique for those engaged in the statistical analysisof data. This essential book: Demonstrates the power of mixed modelling in a wide range ofdisciplines, including industrial research, social sciences,genetics, clinical research, ecology and agriculturalresearch. Illustrates how the capabilities of regression analysis can becombined with those of ANOVA by the specification of a mixedmodel. Introduces the criterion of Restricted Maximum Likelihood(REML) for the fitting of a mixed model to data. Presents the application of mixed model analysis to a widerange of situations and explains how to obtain and interpret BestLinear Unbiased Predictors (BLUPs). Features a supplementary website containing solutions toexercises, further examples, and links to the computer softwaresystems GenStat and R. This book provides a comprehensive introduction to mixedmodelling, ideal for final year undergraduate students,postgraduate students and professional researchers alike. Readerswill come from a wide range of scientific disciplines includingstatistics, biology, bioinformatics, medicine, agriculture,engineering, economics, and social sciences.
Book Synopsis Statistical Methods in Biology by : S.J. Welham
Download or read book Statistical Methods in Biology written by S.J. Welham and published by CRC Press. This book was released on 2014-08-22 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Practical Statistics and Experimental Design for Plant and Crop Science by : Alan G. Clewer
Download or read book Practical Statistics and Experimental Design for Plant and Crop Science written by Alan G. Clewer and published by John Wiley & Sons. This book was released on 2013-06-17 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author :American Bar Association. House of Delegates Publisher :American Bar Association ISBN 13 :9781590318737 Total Pages :216 pages Book Rating :4.3/5 (187 download)
Book Synopsis Model Rules of Professional Conduct by : American Bar Association. House of Delegates
Download or read book Model Rules of Professional Conduct written by American Bar Association. House of Delegates and published by American Bar Association. This book was released on 2007 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
Book Synopsis Experimental Design and Analysis for Tree Improvement by : A. C... Matheson
Download or read book Experimental Design and Analysis for Tree Improvement written by A. C... Matheson and published by CSIRO PUBLISHING. This book was released on 2024-01-22 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental Design and Analysis for Tree Improvement provides a set of practical procedures to follow when planning, designing and analysing tree improvement trials. Using examples, it outlines how to: design field, glasshouse and laboratory trials efficiently collect and construct electronic data files pre-process data, screening for data quality and outliers analyse data from single and across-site trials interpret the results from statistical analyses. The authors address the many practical issues often faced in forest tree improvement trials and describe techniques that will give meaningful results. The techniques provided are applicable to the improvement of not only trees, but to crops in general. This fully revised third edition includes the construction of p-rep and spatial designs using the commercially available software package for design generation (CycDesigN). For analysis of the examples, it provides online Genstat and SAS programs and a link to R programs.
Book Synopsis Statistical Methods in Agriculture and Experimental Biology by : Roger Mead
Download or read book Statistical Methods in Agriculture and Experimental Biology written by Roger Mead and published by CRC Press. This book was released on 2017-11-22 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Introstat written by Les Underhill and published by Juta and Company Ltd. This book was released on 1996-12-31 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to applied statistics, this text assumes a basic understanding of differentiation and integration.
Book Synopsis Geostatistics for Environmental Scientists by : Richard Webster
Download or read book Geostatistics for Environmental Scientists written by Richard Webster and published by John Wiley & Sons. This book was released on 2007-10-22 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes – such as the distribution of pollution – vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited. Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioner’s repertoire. This second edition describes these techniques for environmental scientists. Topics such as stochastic simulation, sampling, data screening, spatial covariances, the variogram and its modeling, and spatial prediction by kriging are described in rich detail. At each stage the underlying theory is fully explained, and the rationale behind the choices given, allowing the reader to appreciate the assumptions and constraints involved.
Book Synopsis Cross-over Trials in Clinical Research by : Stephen S. Senn
Download or read book Cross-over Trials in Clinical Research written by Stephen S. Senn and published by John Wiley & Sons. This book was released on 2003-07-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross-over trials are an important class of design used in the pharmaceutical industry and medical research, and their use continues to grow. Cross-over Trials in Clinical Research, Second Edition has been fully updated to include the latest methodology used in the design and analysis of cross-over trials. It includes more background material, greater coverage of important statistical techniques, including Bayesian methods, and discussion of analysis using a number of statistical software packages. * Comprehensive coverage of the design and analysis of cross-over trials. * Each technique is carefully explained and the mathematics is kept to a minimum. * Features many real and original examples, taken from the author's vast experience. * Includes discussion of analysis using SAS, S-Plus and, GenStat, StatXact and Excel. * Written in a style suitable for statisticians and physicians alike. * Computer programs to accompany the examples in the book can be downloaded from the Web Primarily aimed at statisticians and researchers working in the pharmaceutical industry, the book will also appeal to physicians involved in clinical research and students of medical statistics.
Download or read book Applied Statistics written by E. J. Snell and published by CRC Press. This book was released on 1991-04-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis. The great flexibility of GENSTAT is demonstrated in this handbook by analysing the wide range of examples discussed in Applied Statistics - Principles and Examples (Cox and Snell, 1981). GENSTAT programs are listed for each of the examples. Most of the data sets are small but often it is these seemingly small problems which involve the most tricky statistical and computational procedures. This handbook is self-contained although for a full description of the analysis and interpretation it should be used in parallel with Applied Statistics - Principles and Examples.
Book Synopsis Introduction to Mixed Modelling by : Nicholas W. Galwey
Download or read book Introduction to Mixed Modelling written by Nicholas W. Galwey and published by John Wiley & Sons. This book was released on 2014-08-26 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained. Introduction to Mixed Modelling leads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts. Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the identification of random-effect terms, and explains how to obtain and interpret best linear unbiased predictors (BLUPs). It also introduces several important new topics, including the following: Use of the software SAS, in addition to GenStat and R. Meta-analysis and the multiple testing problem. The Bayesian interpretation of mixed models. Including numerous practical exercises with solutions, this book provides an ideal introduction to mixed modelling for final year undergraduate students, postgraduate students and professional researchers. It will appeal to readers from a wide range of scientific disciplines including statistics, biology, bioinformatics, medicine, agriculture, engineering, economics, archaeology and geography. Praise for the first edition: “One of the main strengths of the text is the bridge it provides between traditional analysis of variance and regression models and the more recently developed class of mixed models...Each chapter is well-motivated by at least one carefully chosen example...demonstrating the broad applicability of mixed models in many different disciplines...most readers will likely learn something new, and those previously unfamiliar with mixed models will obtain a solid foundation on this topic.”—Kerrie Nelson University of South Carolina, in American Statistician, 2007
Book Synopsis Basic Steps in Geostatistics: The Variogram and Kriging by : Margaret A. Oliver
Download or read book Basic Steps in Geostatistics: The Variogram and Kriging written by Margaret A. Oliver and published by Springer. This book was released on 2015-03-30 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief will provide a bridge in succinct form between the geostatistics textbooks and the computer manuals for `push-button' practice. It is becoming increasingly important for practitioners, especially neophytes, to understand what underlies modern geostatistics and the currently available software so that they can choose sensibly and draw correct conclusions from their analysis and mapping. The brief will contain some theory, but only that needed for practitioners to understand the essential steps in analyses. It will guide readers sequentially through the stages of properly designed sampling, exploratory data analysis, variography (computing the variogram and modelling it), followed by ordinary kriging and finally mapping kriged estimates and their errors. There will be short section on trend and universal kriging. Other types of kriging will be mentioned so that readers can delve further in the substantive literature to tackle more complex tasks.
Book Synopsis Applying Generalized Linear Models by : James K. Lindsey
Download or read book Applying Generalized Linear Models written by James K. Lindsey and published by Springer Science & Business Media. This book was released on 2008-01-15 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. The author shows the unity of many of the commonly used models and provides readers with a taste of many different areas, such as survival models, time series, and spatial analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, regression and ANOVA.
Book Synopsis The Indigo Book by : Christopher Jon Sprigman
Download or read book The Indigo Book written by Christopher Jon Sprigman and published by Lulu.com. This book was released on 2017-07-11 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This public domain book is an open and compatible implementation of the Uniform System of Citation.
Book Synopsis Models of Category Counts by : Bernard Fingleton
Download or read book Models of Category Counts written by Bernard Fingleton and published by CUP Archive. This book was released on 1984-10-11 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been a surge of interest in methods of analysing data that typically arise from surveys of various kinds of experiments in which the number of people, animals, places or objects occupying various categories are counted. In this textbook, first published in 1984, Dr Fingleton describes some techniques centred on the log-linear model from the perspective of the social, behavioural and environmental scientist.