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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 9781439880524
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.



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.



Clinical Trials in Neurology

Clinical Trials in Neurology Author Roberto J. Guiloff
ISBN-10 9781447137870
Release 2013-03-14
Pages 542
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Clinical Trials in Neurology comprehensively tackles the methodology and design of clinical trials in neurological disease. A general section deals with the ethical aspects, drug development and regulatory requirements, basic trial designs and the statistics used. A diseases section tackles specific aspects of disorders, focusing on the relevant ethical issues, outcome variables and experience with large multicentre trials.



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.



Analysis of Complex Disease Association Studies

Analysis of Complex Disease Association Studies Author Eleftheria Zeggini
ISBN-10 0123751438
Release 2010-11-17
Pages 340
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According to the National Institute of Health, a genome-wide association study is defined as any study of genetic variation across the entire human genome that is designed to identify genetic associations with observable traits (such as blood pressure or weight), or the presence or absence of a disease or condition. Whole genome information, when combined with clinical and other phenotype data, offers the potential for increased understanding of basic biological processes affecting human health, improvement in the prediction of disease and patient care, and ultimately the realization of the promise of personalized medicine. In addition, rapid advances in understanding the patterns of human genetic variation and maturing high-throughput, cost-effective methods for genotyping are providing powerful research tools for identifying genetic variants that contribute to health and disease. This burgeoning science merges the principles of statistics and genetics studies to make sense of the vast amounts of information available with the mapping of genomes. In order to make the most of the information available, statistical tools must be tailored and translated for the analytical issues which are original to large-scale association studies. Analysis of Complex Disease Association Studies will provide researchers with advanced biological knowledge who are entering the field of genome-wide association studies with the groundwork to apply statistical analysis tools appropriately and effectively. With the use of consistent examples throughout the work, chapters will provide readers with best practice for getting started (design), analyzing, and interpreting data according to their research interests. Frequently used tests will be highlighted and a critical analysis of the advantages and disadvantage complimented by case studies for each will provide readers with the information they need to make the right choice for their research. Additional tools including links to analysis tools, tutorials, and references will be available electronically to ensure the latest information is available. Easy access to key information including advantages and disadvantage of tests for particular applications, identification of databases, languages and their capabilities, data management risks, frequently used tests Extensive list of references including links to tutorial websites Case studies and Tips and Tricks



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.



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)



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.



Monitoring Bathing Waters

Monitoring Bathing Waters Author Jamie Bartram
ISBN-10 9780203478264
Release 2002-09-26
Pages 352
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This book, which has been prepared by an international group of experts, provides comprehensive guidance for the design, planning and implementation of assessments and monitoring programmes for water bodies used for recreation. It addresses the wide range of hazards which may be encountered and emphasizes the importance of linking monitoring programmes to effective and feasible management actions to protect human health. It also provides details of sampling and analytical methods. This book will be an invaluable source of information for anyone concerned with monitoring and assessing recreational waters, including field staff. It will also be useful for national and regional government departments concerned with tourism and recreation, and for students and special interest groups.



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.



Using Econometrics

Using Econometrics Author A. H. Studenmund
ISBN-10 9780134183404
Release 2016-04-04
Pages 656
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Econometrics. A Clear, Practical Introduction to Econometrics Using Econometrics: A Practical Guide offers readers an innovative introduction to elementary econometrics. Through real-world examples and exercises, the book covers the topic of single-equation linear regression analysis in an easily understandable format. The Seventh Edition is appropriate for all levels: beginner econometric readers, regression users seeking a refresher, and experienced practitioners who want a convenient reference. Praised as one of the most important texts in the last 30 years, the book retains its clarity and practicality in previous editions with a number of substantial improvements throughout.



Applied Linear Statistical Models

Applied Linear Statistical Models Author Michael H. Kutner
ISBN-10 0071122214
Release 2005
Pages 1396
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Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.



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.



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.