Download or read book Variance Components written by Shayle R. Searle and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . .Variance Components is an excellent book. It is organized and well written, and provides many references to a variety of topics. I recommend it to anyone with interest in linear models." —Journal of the American Statistical Association "This book provides a broad coverage of methods for estimating variance components which appeal to students and research workers . . . The authors make an outstanding contribution to teaching and research in the field of variance component estimation." —Mathematical Reviews "The authors have done an excellent job in collecting materials on a broad range of topics. Readers will indeed gain from using this book . . . I must say that the authors have done a commendable job in their scholarly presentation." —Technometrics This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation, binary and discrete data, and the dispersion mean model.
Download or read book Analysis of Variance for Random Models Volume 2 Unbalanced Data written by Hardeo Sahai and published by Springer Science & Business Media. This book was released on 2007-07-03 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.
Download or read book Linear Models written by Shayle R. Searle and published by John Wiley & Sons. This book was released on 2016-09-23 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an easy-to-understand guide to statistical linear models and its uses in data analysis This book defines a broad spectrum of statistical linear models that is useful in the analysis of data. Considerable rewriting was done to make the book more reader friendly than the first edition. Linear Models, Second Edition is written in such a way as to be self-contained for a person with a background in basic statistics, calculus and linear algebra. The text includes numerous applied illustrations, numerical examples, and exercises, now augmented with computer outputs in SAS and R. Also new to this edition is: • A greatly improved internal design and format • A short introductory chapter to ease understanding of the order in which topics are taken up • Discussion of additional topics including multiple comparisons and shrinkage estimators • Enhanced discussions of generalized inverses, the MINQUE, Bayes and Maximum Likelihood estimators for estimating variance components Furthermore, in this edition, the second author adds many pedagogical elements throughout the book. These include numbered examples, end-of-example and end-of-proof symbols, selected hints and solutions to exercises available on the book’s website, and references to “big data” in everyday life. Featuring a thorough update, Linear Models, Second Edition includes: • A new internal format, additional instructional pedagogy, selected hints and solutions to exercises, and several more real-life applications • Many examples using SAS and R with timely data sets • Over 400 examples and exercises throughout the book to reinforce understanding Linear Models, Second Edition is a textbook and a reference for upper-level undergraduate and beginning graduate-level courses on linear models, statisticians, engineers, and scientists who use multiple regression or analysis of variance in their work. SHAYLE R. SEARLE, PhD, was Professor Emeritus of Biometry at Cornell University. He was the author of the first edition of Linear Models, Linear Models for Unbalanced Data, and Generalized, Linear, and Mixed Models (with Charles E. McCulloch), all from Wiley. The first edition of Linear Models appears in the Wiley Classics Library. MARVIN H. J. GRUBER, PhD, is Professor Emeritus at Rochester Institute of Technology, School of Mathematical Sciences. Dr. Gruber has written a number of papers and has given numerous presentations at professional meetings during his tenure as a professor at RIT. His fields of interest include regression estimators and the improvement of their efficiency using shrinkage estimators. He has written and published two books on this topic. Another of his books, Matrix Algebra for Linear Models, also published by Wiley, provides good preparation for studying Linear Models. He is a member of the American Mathematical Society, the Institute of Mathematical Statistics and the American Statistical Association.
Download or read book Forest Genetics written by Timothy L. White and published by CABI. This book was released on 2007 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, which contains 20 chapters, integrates the varied subdisciplines of genetics and their applications in gene conservation, tree improvement and biotechnology. Topics covered include: genetic variation in natural forests, the application of genetics in tree improvement and breeding programmes, and genomic sequences and molecular technologies. This book will be a valuable resource for students, scientists and professionals in the plant sciences, especially forest geneticists, tree breeders, forest managers and other natural resource specialists.
Download or read book Statistical Inference Econometric Analysis and Matrix Algebra written by Bernhard Schipp and published by Springer Science & Business Media. This book was released on 2008-11-27 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Festschrift is dedicated to Götz Trenkler on the occasion of his 65th birthday. As can be seen from the long list of contributions, Götz has had and still has an enormous range of interests, and colleagues to share these interests with. He is a leading expert in linear models with a particular focus on matrix algebra in its relation to statistics. He has published in almost all major statistics and matrix theory journals. His research activities also include other areas (like nonparametrics, statistics and sports, combination of forecasts and magic squares, just to mention afew). Götz Trenkler was born in Dresden in 1943. After his school years in East G- many and West-Berlin, he obtained a Diploma in Mathematics from Free University of Berlin (1970), where he also discovered his interest in Mathematical Statistics. In 1973, he completed his Ph.D. with a thesis titled: On a distance-generating fu- tion of probability measures. He then moved on to the University of Hannover to become Lecturer and to write a habilitation-thesis (submitted 1979) on alternatives to the Ordinary Least Squares estimator in the Linear Regression Model, a topic that would become his predominant ?eld of research in the years to come.
Download or read book The Analysis of Variance written by Hardeo Sahai and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 766 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for studying the relationship between a dependent variable and one or more independent variables. The ANOYA mod els are employed to determine whether different variables interact and which factors or factor combinations are most important. They are appealing because they provide a conceptually simple technique for investigating statistical rela tionships among different independent variables known as factors. Currently there are several texts and monographs available on the sub ject. However, some of them such as those of Scheffe (1959) and Fisher and McDonald (1978), are written for mathematically advanced readers, requiring a good background in calculus, matrix algebra, and statistical theory; whereas others such as Guenther (1964), Huitson (1971), and Dunn and Clark (1987), although they assume only a background in elementary algebra and statistics, treat the subject somewhat scantily and provide only a superficial discussion of the random and mixed effects analysis of variance.
Download or read book Confidence Intervals on Variance Components written by Burdick and published by CRC Press. This book was released on 1992-02-28 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizes information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level. Overviews recent research on constructin
Download or read book SAS for Linear Models written by Ramon Littell and published by John Wiley & Sons. This book was released on 2002-05-24 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analysing linear models with the SAS System. This guide shows how to apply the appropriate procedure to data analysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: Multivariate linear models; lack-of-fit analysis; covariance and heterogeneity of slopes; a classification with both crossed and nested effects; and analysis of variance for balanced data. This fourth edition includes updated examples, new software-related features, and new material, including a chapter on generalised linear models. Version 8 of the SAS System was used to run the SAS code examples in the book. * Provides clear explanations of how to use SAS to analyse linear models * Includes numerous SAS outputs * Includes new chapter on generalised linear models * Uses version 8 of the SAS system This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.
Download or read book Design and Analysis of Experiments written by Douglas C. Montgomery and published by John Wiley & Sons. This book was released on 2017 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems. Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book"--
Download or read book Research Awards Index written by and published by . This book was released on with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Encyclopaedic Companion to Medical Statistics written by Brian S. Everitt and published by John Wiley & Sons. This book was released on 2011-06-20 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries and extensive cross–referencing signposts the reader to related entries. Key Features: Contains accounts of over 400 statistical topics central to current medical research. 80% of first edition entries updated and revised. Presents the latest techniques used at the cutting edge of medical research. Covers common errors in statistical analyses in medicine. Real examples from the biomedical literature and relevant illustrations feature throughout. Contains contributions from over 70 experts in the field. Medical researchers, researchers and practitioners in medical research and statistics will benefit greatly from this book.
Download or read book Research Grants Index written by National Institutes of Health (U.S.). Division of Research Grants and published by . This book was released on 1970 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook on Measurement Assessment and Evaluation in Higher Education written by Charles Secolsky and published by Routledge. This book was released on 2012-03-22 with total page 989 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increased demands for colleges and universities to engage in outcomes assessment for accountability purposes have accelerated the need to bridge the gap between higher education practice and the fields of measurement, assessment, and evaluation. The Handbook on Measurement, Assessment, and Evaluation in Higher Education provides higher education administrators, student affairs personnel, institutional researchers who generate and analyze data, and faculty with an integrated handbook of theory, method, and application. This valuable resource brings together applied terminology, analytical perspectives, and methodological advances from the fields of measurement, assessment, and evaluation to facilitate informed decision-making in higher education. Special Features: Contributing Authors are world-renowned scholars across the fields of measurement, assessment, and evaluation, including: Robert E. Stake, Trudy W. Banta, Michael J. Kolen, Noreen M. Webb, Kurt Geisinger, Robert J. Mislevy, Ronald K. Hambleton, Rebecca Zwick, John Creswell, and Margaret D. LeCompte. Depth of Coverage includes classroom assessment and student outcomes; assessment techniques for accountability and accreditation; test theory, item response theory, validity and reliability; qualitative, quantitative and mixed-methods evaluation; context and ethics of assessment. Questions and Exercises follow each Section to reinforce the valuable concepts and insights presented in the preceding chapters. Bridging the gap between practice in higher education with advances in measurement, assessment, and evaluation, this book enables educational decision-makers to engage in more sound professional judgment. This handbook provides higher education administrators with both high-level and detailed views into contemporary theories and practices, supplemented with guidance on how to apply them for the benefit of students and institutions.
Download or read book Analyzing Longitudinal Clinical Trial Data written by Craig Mallinckrodt and published by CRC Press. This book was released on 2016-12-12 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing Longitudinal Clinical Trial Data: A Practical Guide provide practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.?This book, with its example-oriented approach that includes numerous SAS and R code fragments, is an essential resource for statisticians and graduate students specializing in medical research. The authors provide clear descriptions of the relevant statistical theory and illustrate practical considerations for modeling longitudinal data. Topics covered include choice of endpoint and statistical test; modeling means and the correlations between repeated measurements; accounting for covariates; modeling categorical data; model verification; methods for incomplete (missing) data that includes the latest developments in sensitivity analyses, along with approaches for and issues in choosing estimands; and means for preventing missing data. Each chapter stands alone in its coverage of a topic. The concluding chapters provide detailed advice on how to integrate these independent topics into an over-arching study development process and statistical analysis plan.
Download or read book Proceedings RMRS written by and published by . This book was released on 1998 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Breeding and Genetic Resources of Five needle Pines written by and published by . This book was released on 2004 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Complementary Methods in Education Research written by Judith L. Green and published by Routledge. This book was released on 2012-01-04 with total page 1358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published for the American Educational Research Association by Routledge. The Handbook of Complementary Methods in Education Research is a successor volume to AERA's earlier and highly acclaimed editions of Complementary Methods for Research in Education. More than any book to date (including its predecessors), this new volume brings together the wide range of research methods used to study education and makes the logic of inquiry for each method clear and accessible. Each method is described in detail, including its history, its research design, the questions that it addresses, ways of using the method, and ways of analyzing and reporting outcomes. Key features of this indispensable book include the following: Foundations Section-Part I is unique among research books. Its three chapters examine common philosophical, epistemological, and ethical issues facing researchers from all traditions, and frames ways of understanding the similarities and differences among traditions. Together they provide a tripartite lens through which to view and compare all research methods. Comprehensive Coverage-Part II (the heart of the book) presents 35 chapters on research design and analysis. Each chapter includes a brief historical overview of the research tradition, examines the questions that it addresses, and presents an example of how the approach can be used. Programs of Research-Part III examines how research programs connected to eight specific lines of inquiry have evolved over time. These chapters examine phenomena such as classroom interaction; language research; issues of race, culture, and difference; policy analysis; program evaluation; student learning; and teacher education. Complementary Methods-As the title suggests, a central mission of this book is to explore the compatibility of different research methods. Which methods can be productively brought together and for what purposes? How and on what scale can they be made compatible and what phenomena are they best suited to explore? Flexibility-The chapters in Parts II and III are largely independent. Therefore, selected portions of the book can be used in courses devoted to specific research methods and perspectives or to particular areas of education. Likewise, established researchers interested in acquiring new techniques or greater expertise in a given methodology will find this an indispensable reference volume. This handbook is appropriate for any of the following audiences: faculty teaching and graduate students studying education research, education researchers and other scholars seeking an accessible overview of state-of-the-art knowledge about specific methods, policy analysts and other professionals needing to better understand research methods, and academic and research libraries serving these audiences.
