%{search_type} search results

300 catalog results

RSS feed for this result
Book
xiii, 287 p. : ill. ; 24 cm.
  • Preface-- Introduction to analysis of variance-- Introduction to model structures-- Part I. Model Structures: 1. One-factor designs-- 2. Nested designs-- 3. Fully replicated factorial designs-- 4. Randomised block designs-- 5. Split plot designs-- 6. Repeated measures designs-- 7. Unreplicated designs-- Part II. Further Topics: 8. Further topics-- 9. Choosing experimental designs-- 10. Best practice in presentation of the design-- 11. Troubleshooting problems during analysis-- Glossary-- Categories of model-- Bibliography-- Index of all ANOVA models with up to three factors-- Index.
  • (source: Nielsen Book Data)9780521684477 20160528
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.
(source: Nielsen Book Data)9780521684477 20160528
SAL3 (off-campus storage)
Book
v : ill. ; 25. cm.
  • v. 1. Balanced data
  • v. 2. Unbalanced data.
ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models). Accessible to readers with a modest mathematical and statistical background, the work will appeal to a broad audience of graduate students, researchers, and practitioners. It can be used as a graduate text or as a self-study reference.
(source: Nielsen Book Data)9780817632304 20160528
Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal breeding, applied genetics, econometrics, quality control, medicine, engineering, and social sciences.This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects. Both Bayesian and repeated sampling procedures are considered. Volume 1 examines models with balanced data (orthogonal models); Volume 2 studies models with unbalanced data (nonorthogonal models).Accessible to readers with only a modest mathematical and statistical background, the work will appeal to a broad audience of students, researchers, and practitioners in the mathematical, life, social, and engineering sciences. It may be used as a textbook in upper-level undergraduate and graduate courses, or as a reference for readers interested in the use of random effects models for data analysis.
(source: Nielsen Book Data)9780817632298 20160528
Vol. 1 SpringerLink
SAL3 (off-campus storage)
Book
xviii, 704 p. : ill. ; 25 cm.
  • Preface.1. Introduction: Why Mixed Models?2. MLE for LME Model.3. Statistical Properties of the LME Model.4. Growth Curve Model and Generalizations.5. Meta-analysis Model.6. Nonlinear Marginal Model.7. Generalized Linear Mixed Models.8. Nonlinear Mixed Effects Model.9. Diagnostics and Influence Analysis.10. Tumor Regrowth Curves.11. Statistical Analysis of Shape.12. Statistical Image Analysis.13. Appendix: Useful Facts and Formulas.References.Index.
  • (source: Nielsen Book Data)9780471601616 20160528
This timely and state--of--the--art topic is covered comprehensively in this book. Providing a complete and in--depth mathematical coverage of the topic -- linear, generalized linear, and nonlinear mixed models, along with diagnostics -- the book has dual appeal as both a graduate--level text and a reference. Special attention is given to algorithms and their implementations and several appendices make the text self--contained.
(source: Nielsen Book Data)9780471601616 20160528
dx.doi.org Wiley Online Library
Science Library (Li and Ma)
Book
xii, 180 p. : ill. ; 24 cm.
  • Introduction The Need for Analysis of Variance (ANOVA) Means, Variances, Sums of Squares and Degrees of Freedom Independent Group ANOVAs One-Factor Independent Groups ANOVA Multiple Comparisons: Independent Groups t-Tests Two-Factor Independent Groups ANOVA Repeated Measures ANOVAs One-Factor Repeated Measures ANOVA Multiple Comparisons: Dependent Measures t-Tests Two-Factor Mixed Measures ANOVA Two-Factor Repeated Measures ANOVA Overview and Final Thoughts Some Tips for Tests on ANOVA Every Day Benefits of a Feel for Statistics and for Evaluating Data.
  • (source: Nielsen Book Data)9780803970755 20160618
Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions.
(source: Nielsen Book Data)9780803970755 20160618
Law Library (Crown)
Book
1 online resource (xii, 180 p.) : ill.
  • Introduction The Need for Analysis of Variance (ANOVA) Means, Variances, Sums of Squares and Degrees of Freedom Independent Group ANOVAs One-Factor Independent Groups ANOVA Multiple Comparisons: Independent Groups t-Tests Two-Factor Independent Groups ANOVA Repeated Measures ANOVAs One-Factor Repeated Measures ANOVA Multiple Comparisons: Dependent Measures t-Tests Two-Factor Mixed Measures ANOVA Two-Factor Repeated Measures ANOVA Overview and Final Thoughts Some Tips for Tests on ANOVA Every Day Benefits of a Feel for Statistics and for Evaluating Data.
  • (source: Nielsen Book Data)9780803970755 20160618
Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions.
(source: Nielsen Book Data)9780803970755 20160618
Book
xix, 204 p. : ill. ; 23 cm.
  • The Study of Variation. One-Way Classification. Two-Way Cross-Classification. Randomized Blocks. BIBDs and Latin Squares. Nested Classifications. Maximum Likelihood Estimation. The MINQUE and MIVQUE. Non-Negative Estimation of Variance Components. Confidence Intervals. Genetic and Environmental Effects.
  • (source: Nielsen Book Data)9780412728600 20160528
Variance Components Estimation deals with the evaluation of the variation between observable data or classes of data. This is an up-to-date, comprehensive work that is both theoretical and applied. Topics include ML and REML methods of estimation; Steepest-Acent, Newton-Raphson, scoring, and EM algorithms; MINQUE and MIVQUE, confidence intervals for variance components and their ratios; Bayesian approaches and hierarchical models; mixed models for longitudinal data; repeated measures and multivariate observations; as well as non-linear and generalized linear models with random effects.
(source: Nielsen Book Data)9780412728600 20160528
SAL3 (off-campus storage)
Book
565 p.
Covers topics in the analysis of variance, such as: the nature of interaction and its interpretation, in terms of theory and response scale transformations; non-orthogonal designs; generalized forms of analysis of covariance; and discussion of functional measurement.
(source: Nielsen Book Data)9780275947200 20160528
SAL3 (off-campus storage)
Book
xiv, 161 p. : ill. ; 28 cm.
SAL3 (off-campus storage)
Book
xxiii, 501 p. ; 25 cm.
  • History and comment-- the 1-way classification-- balanced data-- analysis of variance estimation for unbalanced data-- maximum likelihood (ML) and restricted maximum likelihood (REML)-- prediction of random variables-- computing ML and REML estimates-- hierarchical models and Bayesian estimation-- binary and discrete data-- other procedures-- the dispersion-mean model.
  • (source: Nielsen Book Data)9780471621621 20160527
This text presents a broad coverage of variance components. It deals with the estimation of variance components and the prediction of realized but unobservable values of random variables in analysis of variance models and in binary and discrete data. The authors begin with an introduction to the subject, which details more complicated types of data appearing in subsequent chapters. All the major methods of estimating components are discussed at length, including ANOVA, ML, REML, and Bayes. Topics covered include history, analysis of variance estimation, maximum likelihood (ML) estimation, prediction in mixed models, Bayes estimation and hierarchical models, categorical data, covariance components and minimum norm estimation, dispersion-mean model, kurtosis and fourth moments.
(source: Nielsen Book Data)9780471621621 20160527
dx.doi.org Wiley Online Library
Marine Biology Library (Miller), Science Library (Li and Ma)
Book
430 p.
  • Concepts and Examples in Analysis of Variance (J. Tukey, et al.)-- Purposes of Analyzing Data that Come in a Form Inviting Us to Apply Tools from the Analysis of Variance (F. Mosteller & J. Tukey)-- Preliminary Examination of Data (F. Mosteller & D. Hoaglin)-- Types of Factors and Their Structural Layouts (J. Singer)-- Value-Splitting: Taking the Data Apart (C. Schmid)-- Value-Splitting Involving More Factors (K. Halvorsen)-- Mean Squares, F Tests, and Estimates of Variance (F. Mosteller, et al.)-- Graphical Display as an Aid to Analysis (J. Emerson)-- Components of Variance (C. Brown & F. Mosteller)-- Which Denominator?-- (T. Blackwell, et al.)-- Assessing Changes (J. Tukey, et al.)-- Qualitative and Quantitative Confidence (J. Tukey & D. Hoaglin)-- Introduction to Transformation (J. Emerson)-- Appendix-- Index.
  • (source: Nielsen Book Data)9780471527350 20160528
This text approaches the analysis of variance (ANOVA) from an exploratory point of view while retaining customary least squares fitting methods. The authors go beyond the standard steps of the ANOVA table to emphasize both the individual observations and the separate parts that the analysis produces. The technical level is not advanced and therefore serves as an introduction to ANOVA. The material is self-contained and illustrated with occasional references to more advanced/specialized readings.
(source: Nielsen Book Data)9780471527350 20160528
dx.doi.org Wiley Online Library
SAL3 (off-campus storage)
Book
x, 101 p. : ill. ; 28 cm.
Green Library, Earth Sciences Library (Branner)
Book
vi, 152 p. : ill. ; 28 cm.
Green Library, Earth Sciences Library (Branner)
Book
x, 310 p. : ill. ; 25 cm.
SAL3 (off-campus storage)
Book
x, 144 p. : ill. ; 24 cm.
SAL3 (off-campus storage)
Book
p. 687-699 ; 23 cm.
SAL3 (off-campus storage)
Book
xvii, 1002 p. : ill. ; 25 cm.
  • Estimation of Variance Components (C.R. Rao, J. Kleffe). Multivariate Analysis of Variance of Repeated Measurements (N.H. Timm). Growth Curve Analysis (S. Geisser). Bayesian Inference in MANOVA (S.J. Press). Graphical Methods for Internal Comparisons in ANOVA and MANOVA (R. Gnanadesikan). Monotonicity and Unbiasedness Properties of ANOVA and MANOVA Tests (S.D. Gupta). Robustness of ANOVA and MANOVA Test Procedures (P.K. Ito). Analysis of Variance and Problems under Time Series Models (D.R. Brillinger). Tests of Univariate and Multivariate Normality (K.V. Mardia). Transformations to Normality (G. Kaskey et al.). ANOVA and MANOVA: Models for Categorical Data (V.P. Bhapkar). Inference and the Structural Model for ANOVA and MANOVA (D.A.S. Fraser). Inference Based on Conditionally Specified ANOVA Models Incorporating Preliminary Testing (T.A. Bancroft, C.-P. Han). Quadratic Forms in Normal Variables (C.G. Khatri). Generalized Inverse of Matrices and Applications to Linear Models (S.K. Mitra). Likelihood Ratio Tests for Mean Vectors and Covariance Matrices (P.R. Krishnaiah, J.C. Lee). Assessing Dimensionality in Multivariate Regression (A.J. Izenman). Parameter Estimation in Nonlinear Regression Models (H. Bunke). Early History of Multiple Comparison Tests (H.L. Harter). Representations of Simultaneous Pairwise Comparisons (A.R. Sampson). Simultaneous Test Procedures for Mean Vectors and Covariance Matrices (P.R. Krishnaiah, G.S. Mudholkar, P. Subbaiah). Nonparametric Simultaneous Inference for Some MANOVA Models (P.K. Sen). Comparison of Some Computer Programs for Univariate and Multivariate Analysis of Variance (R.D. Bock, D. Brandt). Computations of Some Multivariate Distributions (P.R. Krishnaiah). Inference on the Structure of Interaction in a Two-Way Classification Model (P.R. Krishnaiah, M.G. Yochmowitz). Index.
  • (source: Nielsen Book Data)9780444853356 20160528
This first volume in the series is devoted to the area of analysis of variance (ANOVA), which was developed by R.A. Fischer and others, and has emerged as a very important branch of statistics. An attempt has been made to cover most of the useful techniques in univariate and multivariate ANOVA in this volume. The chapters are written by prominent workers in the field for persons who are not specialists on the topic. Thus, the volume will appeal to the whole statistics community, as well as to scientists in other disciplines who are interested in statistical methodology. The volume is dedicated to the memory of the late Henry Scheffe.
(source: Nielsen Book Data)9780444853356 20160528
SAL3 (off-campus storage)
Book
iii, 86 p. ; 28 cm.
Education Library (Cubberley)
Book
70 p. ; 22 cm.
SAL3 (off-campus storage)
Book
50 p. ; 28 cm.
Education Library (Cubberley)
Book
93 p. : ill. ; 22 cm.
Presents a technique for analyzing the effects of variables, groups, and treatments in both experimental and observational settings, considering not only the main effects of one variable upon another, but also the effects of group cases.
(source: Nielsen Book Data)9780803911642 20160528
Green Library, SAL3 (off-campus storage)

Articles+

Journal articles, e-books, & other e-resources
Articles+ results include