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Analysis of Variance and Functional Measurement

Analysis of Variance and Functional Measurement Author David J. Weiss
ISBN-10 9780195183153
Release 2006
Pages 271
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Clear and straightforward guide to analysis of variance, the backbone of experimental research. Demonstrates how to interpret statistical results and translate them into prose that will clearly tell the audience what the data is saying. End-of-chapter practice problems with suggested answers.



Informative Hypotheses

Informative Hypotheses Author Herbert Hoijtink
ISBN-10 9781439880517
Release 2011-10-26
Pages 241
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When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the relation between Y and X2". Stated otherwise, they formulate their expectations in terms of inequality constraints among the parameters in which they are interested, that is, they formulate Informative Hypotheses. There is currently a sound theoretical foundation for the evaluation of informative hypotheses using Bayes factors, p-values and the generalized order restricted information criterion. Furthermore, software that is often free is available to enable researchers to evaluate the informative hypotheses using their own data. The road is open to challenge the dominance of the null hypothesis for contemporary research in behavioral, social, and other sciences.



Quantitative Research Methods for Communication

Quantitative Research Methods for Communication Author
ISBN-10 UOM:39015079163914
Release 2008
Pages 537
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Conducting research can be one of the most fascinating--and intimidating--tasks for students and scholars. A relevant and accessible guide to quantitative research, Quantitative Research Methods for Communication: A Hands-On Approach offers an innovative and insightful look at this complex subject. Drawing on their extensive research and teaching experience in the field of communication, authors Jason S. Wrench, Candice Thomas-Maddox, Virginia Peck Richmond, and James C. McCroskey have compiled their diverse, acclaimed work into one comprehensive volume. In clear, straightforward language, the authors encourage students to take an active, hands-on role in the learning process, giving them the tools they need to locate, conduct, collect, and present their research. Students are not only introduced to new skills, but they also have the opportunity to immediately apply these skills in research scenarios. Beginning with a brief history of social science research, the text incorporates the following resources: * An introduction to the fundamentals of communication research, from library skills to basic mathematical concepts * An examination of the three most common techniques used in communication research: survey, content analysis, and experiment * A sophisticated analysis of sampling and hypothesis testing * A step-by-step introduction to statistical tools * Guided research assignments based on actual data-driven research questions * In-depth analyses of articles that feature statistical tests * A guide to presenting research findings, from delivering research papers at conferences to submitting original research for publication The text integrates rich pedagogical features throughout, including chapter objectives, case studies, data sheets, and lists of key terms. The accompanying CD-ROM offers many helpful tools, including ten articles originally published by the Eastern Communication Association and a Student Workbook. An invaluable resource for gathering and processing information in the twenty-first century, Quantitative Research Methods for Communication equips students with the skills--and confidence--to produce their own cutting-edge research.



Joyce in the Belly of the Big Truck Workbook

Joyce in the Belly of the Big Truck  Workbook Author Joyce A. Cascio
ISBN-10 0976237318
Release 2005-05
Pages
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Joyce in the Belly of the Big Truck Workbook has been writing in one form or another for most of life. You can find so many inspiration from Joyce in the Belly of the Big Truck Workbook also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Joyce in the Belly of the Big Truck Workbook book for free.



The British National Bibliography

The British National Bibliography Author Arthur James Wells
ISBN-10 STANFORD:36105211722678
Release 2009
Pages
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The British National Bibliography has been writing in one form or another for most of life. You can find so many inspiration from The British National Bibliography also informative, and entertaining. Click DOWNLOAD or Read Online button to get full The British National Bibliography book for free.



Measurements and Their Uncertainties

Measurements and Their Uncertainties Author Ifan Hughes
ISBN-10 9780199566327
Release 2010-07-01
Pages 136
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This short book is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed, with the necessary concepts introduced where needed, and illustrated graphically. In contrast to traditional treatments a combination of spreadsheet and calculus-based approaches is used. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. The emphasisthroughout is on practical strategies to be adopted in the laboratory. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computeranalysis.



Understanding and Using Advanced Statistics

Understanding and Using Advanced Statistics Author Jeremy J Foster
ISBN-10 141290014X
Release 2006
Pages 178
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The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify. This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration.



Biostatistical Design and Analysis Using R

Biostatistical Design and Analysis Using R Author Dr Murray Logan
ISBN-10 9781444362473
Release 2011-09-20
Pages 576
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R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphing exploratory data analysis and graphical summaries regression (linear, multi and non-linear) simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures) frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.



Linear Models with R Second Edition

Linear Models with R  Second Edition Author Julian J. Faraway
ISBN-10 9781439887332
Release 2014-07-01
Pages 286
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A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models in physical science, engineering, social science, and business applications. The book incorporates several improvements that reflect how the world of R has greatly expanded since the publication of the first edition. New to the Second Edition Reorganized material on interpreting linear models, which distinguishes the main applications of prediction and explanation and introduces elementary notions of causality Additional topics, including QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates Extensive use of the ggplot2 graphics package in addition to base graphics Like its widely praised, best-selling predecessor, this edition combines statistics and R to seamlessly give a coherent exposition of the practice of linear modeling. The text offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using R.



Managing Six Sigma

Managing Six Sigma Author Forrest W. Breyfogle, III
ISBN-10 0471396737
Release 2000-10-11
Pages 288
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Advance Praise for Managing Six Sigma "This book is a unique blend of practical knowledge and cultural change, revolution and evolution strategies. I recommend that serious managers buy the book, spend some serious time reading, and then go out and use its lessons to make a name for themselves."-William Baker, Benchmarking/Knowledge Transfer Office, Raytheon Corporation "I believe Managing Six Sigma will be the new reference standard for the quality movement in coming years."-Robert T. Hunter, Executive Vice President, Rehnborg Center for Nutrition and Wellness "[The authors'] step-by-step process for integrating the tools of Six Sigma takes the mystery out of this methodology and, by itself, makes this book worth having."-Dennis Adsit, PhD, Vice President, Quality, Intuit "Breyfogle's Six Sigma deployment methodology is explained in detail for four different business processes: manufacturing, service, transactional, and development. . . . His 21-step plan for each business process is explained in a way that allows any type of company to perform a successful implementation."-Mark Feller, Director of Quality, Baker Electronics "Breyfogle teaches not only the wider application but also the deeper implications and in-depth implementation of Six Sigma deployment in organizations large and small."-Ram Josyula, President, gelrad.com Managing Six Sigma is the only book that provides both detailed coverage of Six Sigma techniques and effective methods for managing those who implement Six Sigma. With real-world case studies recounting the triumphs and pitfalls encountered during successful implementations at Motorola and General Electric-plus plans, checklists, and metrics to speed up the implementation process-this rich resource helps managers solve problems effectively and ensure a fast, smooth, and successful Six Sigma implementation.



Eddy Covariance

Eddy Covariance Author Marc Aubinet
ISBN-10 9789400723504
Release 2012-01-18
Pages 438
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This highly practical handbook is an exhaustive treatment of eddy covariance measurement that will be of keen interest to scientists who are not necessarily specialists in micrometeorology. The chapters cover measuring fluxes using eddy covariance technique, from the tower installation and system dimensioning to data collection, correction and analysis. With a state-of-the-art perspective, the authors examine the latest techniques and address the most up-to-date methods for data processing and quality control. The chapters provide answers to data treatment problems including data filtering, footprint analysis, data gap filling, uncertainty evaluation, and flux separation, among others. The authors cover the application of measurement techniques in different ecosystems such as forest, crops, grassland, wetland, lakes and rivers, and urban areas, highlighting peculiarities, specific practices and methods to be considered. The book also covers what to do when you have all your data, summarizing the objectives of a database as well as using case studies of the CarboEurope and FLUXNET databases to demonstrate the way they should be maintained and managed. Policies for data use, exchange and publication are also discussed and proposed. This one compendium is a valuable source of information on eddy covariance measurement that allows readers to make rational and relevant choices in positioning, dimensioning, installing and maintaining an eddy covariance site; collecting, treating, correcting and analyzing eddy covariance data; and scaling up eddy flux measurements to annual scale and evaluating their uncertainty.



Multivariate Analysis of Ecological Data

Multivariate Analysis of Ecological Data Author Michael Greenacre
ISBN-10 9788492937509
Release 2014-01-09
Pages 331
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La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos como aglomeración (clustering), regresión, biplots, escalado multidimensional, análisis de correspondencias (simple y canónico) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales. El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.



Analysis of Variance and Covariance

Analysis of Variance and Covariance Author C. Patrick Doncaster
ISBN-10 9781139466226
Release 2007-08-30
Pages
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Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.



Health Measurement Scales

Health Measurement Scales Author David L. Streiner
ISBN-10 9780191508332
Release 2014-11-06
Pages 448
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Clinicians and those in health sciences are frequently called upon to measure subjective states such as attitudes, feelings, quality of life, educational achievement and aptitude, and learning style in their patients. This fifth edition of Health Measurement Scales enables these groups to both develop scales to measure non-tangible health outcomes, and better evaluate and differentiate between existing tools. Health Measurement Scales is the ultimate guide to developing and validating measurement scales that are to be used in the health sciences. The book covers how the individual items are developed; various biases that can affect responses (e.g. social desirability, yea-saying, framing); various response options; how to select the best items in the set; how to combine them into a scale; and finally how to determine the reliability and validity of the scale. It concludes with a discussion of ethical issues that may be encountered, and guidelines for reporting the results of the scale development process. Appendices include a comprehensive guide to finding existing scales, and a brief introduction to exploratory and confirmatory factor analysis, making this book a must-read for any practitioner dealing with this kind of data.



A First Course in Design and Analysis of Experiments

A First Course in Design and Analysis of Experiments Author Gary W. Oehlert
ISBN-10 0716735105
Release 2000-01-19
Pages 600
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Oehlert's text is suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • how to analyze the results • how to recognize various design options Also, unlike other older texts, the book is fully oriented toward the use of statistical software in analyzing experiments.



Experimental Design and Data Analysis for Biologists

Experimental Design and Data Analysis for Biologists Author Gerry P. Quinn
ISBN-10 9781139432894
Release 2002-03-21
Pages
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An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.



The R Book

The R Book Author Michael J. Crawley
ISBN-10 9781118448960
Release 2012-11-07
Pages 1080
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Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008) ‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (Professional Pensions, July 2007)