Comparisons Among Treatment Means In An Analysis Of Variance
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Comparisons Among Treatment Means in an Analysis of Variance
Author | : Victor Chew |
Publsiher | : Unknown |
Total Pages | : 72 |
Release | : 1977 |
Genre | : Analysis of variance |
ISBN | : MINN:31951002832585V |
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Multiple Comparisons for Researchers
Author | : Larry E. Toothaker |
Publsiher | : SAGE Publications, Incorporated |
Total Pages | : 184 |
Release | : 1991-08-27 |
Genre | : Reference |
ISBN | : UOM:39015024794094 |
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Through clear exposition and step-by-step procedures, Toothaker describes all the most important multiple comparison procedures along with relevant concepts, such as error rate, power, robustness and coverage of two-way ANOVA including the controversy on cell mean versus tests on interaction effects. The book also includes samples of multiple comparison programs in SAS and SPSS.
Learning Statistics with R
Author | : Daniel Navarro |
Publsiher | : Lulu.com |
Total Pages | : 617 |
Release | : 2013-01-13 |
Genre | : Psychology |
ISBN | : 9781326189723 |
Download Learning Statistics with R Book in PDF, Epub and Kindle
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Multiple Comparisons
Author | : Alan J. Klockars,Gilbert Sax |
Publsiher | : SAGE |
Total Pages | : 92 |
Release | : 1986-09 |
Genre | : Mathematics |
ISBN | : 0803920512 |
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Describes the most important methods used to investigate differences between levels of an independent variable within an experimental design. Readers will learn not only how to conduct multiple comparisons in experimental designs but also how to better understand and evaluate published research. "A highly readable introduction to multiple comparison methods, which demands little from its reader in the way of background other than some familiarity with analysis of variance." --The Statistician
Multiple Comparisons
Author | : Jason Hsu |
Publsiher | : CRC Press |
Total Pages | : 306 |
Release | : 1996-02-01 |
Genre | : Mathematics |
ISBN | : 0412982811 |
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Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.
The Analysis of Means
Author | : Peter R. Nelson,Peter S. Wludyka,Karen A. F. Copeland |
Publsiher | : SIAM |
Total Pages | : 259 |
Release | : 2005-01-01 |
Genre | : Analysis of means |
ISBN | : 0898718368 |
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The analysis of means (ANOM) is a graphical procedure used to quantify differences among treatment groups in a variety of experimental design and observational study situations. The ANOM decision chart allows one to easily draw conclusions and interpret results with respect to both statistical and practical significance. It is an excellent choice for multiple comparisons of means, rates, or proportions and can be used with both balanced and unbalanced data. Key advances in ANOM procedures that have appeared only in technical journals during the last 20 years are included in this first comprehensive modern treatment of the ANOM containing all of the needed information for practitioners to understand and apply ANOM.
A Student s Guide to Analysis of Variance
Author | : Maxwell Roberts,Riccardo Russo |
Publsiher | : Routledge |
Total Pages | : 286 |
Release | : 2014-06-03 |
Genre | : Psychology |
ISBN | : 9781317725060 |
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In the investigation of human behaviour, statistical techniques are employed widely in the social sciences. Whilst introductory statistics courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis of Variance (ANOVA) has become one of the most common of these and it is therefore essential for both student and researcher to have a thorough understanding of it. A Student's Guide to Analysis of Variance covers a range of statistical techniques associated with ANOVA, including single and multiple factor designs, various follow-up procedures such as post-hoc tests, and how to make sense of interactions. Suggestions on the best use of techniques and advice on how to avoid the pitfalls are included, along with guidelines on the writing of formal reports. Introductory level topics such as standard deviation, standard error and t-tests are revised, making this book an invaluable aid to all students for whom ANOVA is a compulsory topic. It will also serve as a useful refresher for the more advanced student and practising researcher.
Design of Experiments
Author | : R. O. Kuehl |
Publsiher | : Duxbury Resource Center |
Total Pages | : 0 |
Release | : 2000 |
Genre | : Analyse numérique |
ISBN | : 0534368344 |
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"In this Second Edition of Design of Experiments: Statistical Principles of Research Design and Analysis, Bob Kuehl continues to treat research design as a very practical subject. He emphasizes the importance of developing a treatment design based on research hypothesis as an initial step and then developing an experimental or observational study design that facilitates efficient data collection. With the book's wide array of examples from actual studies from many scientific and technological fields, Kuehl constantly reinforces the research design process."--Back cover.