Analysis of Variance Via Confidence Intervals - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Variance Via Confidence Intervals write by K D Bird. This book was released on 2004-12-07. Analysis of Variance Via Confidence Intervals available in PDF, EPUB and Kindle. Analysis of variance - ANOVA - constitutes the main set of statistical methods through which undergraduate and postgraduate students carry out multivariate analysis. This textbook adopts an innovative approach to ANOVA, placing emphasis on confidence intervals rather than tests of significance.
Analysis of Variance via Confidence Intervals
Analysis of Variance via Confidence Intervals - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Variance via Confidence Intervals write by K D Bird. This book was released on 2004-11-02. Analysis of Variance via Confidence Intervals available in PDF, EPUB and Kindle. Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from experiments. This expertly written textbook adopts a pioneering approach to ANOVA with an emphasis on confidence intervals rather than tests of significance. Key features of the book include: · Extensive coverage · Strong emphasis upon practical examples · Web-based links to sample questions and answers Student-focused throughout, it offers a comprehensive introduction to ANOVA using confidence intervals. The chapters have been organized to fit onto a typical lecture programme and is well-structured and practical, invaluable for undergraduates and postgraduate students taking courses in quantitative methods across the social sciences.
Experimental Design and the Analysis of Variance
Experimental Design and the Analysis of Variance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Experimental Design and the Analysis of Variance write by Robert K. Leik. This book was released on 1997-04-19. Experimental Design and the Analysis of Variance available in PDF, EPUB and Kindle. Why is this Book a Useful Supplement for Your Statistics Course? Most core statistics texts cover subjects like analysis of variance and regression, but not in much detail. This book, as part of our Series in Research Methods and Statistics, provides you with the flexibility to cover ANOVA more thoroughly, but without financially overburdening your students.
The Future of Statistical Software
The Future of Statistical Software - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Future of Statistical Software write by National Research Council. This book was released on 1991-02-01. The Future of Statistical Software available in PDF, EPUB and Kindle. This book presents guidelines for the development and evaluation of statistical software designed to ensure minimum acceptable statistical functionality as well as ease of interpretation and use. It consists of the proceedings of a forum that focused on three qualities of statistical software: richnessâ€"the availability of layers of output sophistication, guidanceâ€"how the package helps a user do an analysis and do it well, and exactnessâ€"determining if the output is "correct" and when and how to warn of potential problems.
Analysis of Variance, Design, and Regression
Analysis of Variance, Design, and Regression - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Variance, Design, and Regression write by Ronald Christensen. This book was released on 1996-06-01. Analysis of Variance, Design, and Regression available in PDF, EPUB and Kindle. This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but also addressing basic ideas in experimental design and count data. The book has four connecting themes: similarity of inferential procedures, balanced one-way analysis of variance, comparison of models, and checking assumptions. Most inferential procedures are based on identifying a scalar parameter of interest, estimating that parameter, obtaining the standard error of the estimate, and identifying the appropriate reference distribution. Given these items, the inferential procedures are identical for various parameters. Balanced one-way analysis of variance has a simple, intuitive interpretation in terms of comparing the sample variance of the group means with the mean of the sample variance for each group. All balanced analysis of variance problems are considered in terms of computing sample variances for various group means. Comparing different models provides a structure for examining both balanced and unbalanced analysis of variance problems and regression problems. Checking assumptions is presented as a crucial part of every statistical analysis. Examples using real data from a wide variety of fields are used to motivate theory. Christensen consistently examines residual plots and presents alternative analyses using different transformation and case deletions. Detailed examination of interactions, three factor analysis of variance, and a split-plot design with four factors are included. The numerous exercises emphasize analysis of real data. Senior undergraduate and graduate students in statistics and graduate students in other disciplines using analysis of variance, design of experiments, or regression analysis will find this book useful.
