Comparisons Among Treatment Means in an Analysis of Variance
Author : Victor Chew
Publisher :
Page : 72 pages
File Size : 20,70 MB
Release : 1977
Category : Analysis of variance
ISBN :
Multiple Comparisons for Researchers
Author : Larry E. Toothaker
Publisher : SAGE Publications, Incorporated
Page : 184 pages
File Size : 34,55 MB
Release : 1991-08-27
Category : Reference
ISBN :
Book Description
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.
Comparisons Among Treatment Means in an Analysis of Variance
Author : Victor Chew
Publisher :
Page : 72 pages
File Size : 10,28 MB
Release : 1977
Category : Analysis of variance
ISBN :
Book Description
Comparisons Among Treatment Means in an Analysis of Variance
Author : Victor Chew
Publisher :
Page : 0 pages
File Size : 18,78 MB
Release : 1977
Category : Analysis of variance
ISBN :
Book Description
Learning Statistics with R
Author : Daniel Navarro
Publisher : Lulu.com
Page : 617 pages
File Size : 33,13 MB
Release : 2013-01-13
Category : Computers
ISBN : 1326189727
Book Description
"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
Publisher : SAGE
Page : 92 pages
File Size : 47,51 MB
Release : 1986-09
Category : Mathematics
ISBN : 9780803920514
Book Description
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
Publisher : CRC Press
Page : 292 pages
File Size : 32,74 MB
Release : 1996-02-01
Category : Mathematics
ISBN : 1482221276
Book Description
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
Multiple Comparison Procedures
Author : Larry E. Toothaker
Publisher : SAGE
Page : 108 pages
File Size : 11,20 MB
Release : 1993
Category : Mathematics
ISBN : 9780803941779
Book Description
If you conduct research with more than two groups and want to find out if they are significantly different when compared two at a time, then you need Multiple Comparison Procedures. Using examples to illustrate major concepts, this concise volume is your guide to multiple comparisons. Toothaker thoroughly explains such essential issues as planned vs. post-hoc comparisons, stepwise vs. simultaneous test procedures, types of error rate, unequal sample sizes and variances, and interaction tests vs. cell mean tests.
The Analysis of Means
Author : Peter R. Nelson
Publisher : SIAM
Page : 259 pages
File Size : 35,12 MB
Release : 2005-01-01
Category : Analysis of means
ISBN : 9780898718362
Book Description
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.
Design of Experiments
Author : R. O. Kuehl
Publisher : Duxbury Resource Center
Page : 0 pages
File Size : 22,40 MB
Release : 2000
Category : Analyse numérique
ISBN : 9780534368340
Book Description
"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.
