- 382 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Growth Curves
About this book
This work describes several statistical techniques for studying repeated measures data, presenting growth curve methods applicable to biomedical, social, animal, agricultural and business research. It details the multivariate development of growth science and repeated measures experiments, covering time-moving covariates, exchangable errors, bioassay results, missing data procedures and nonparametric and Bayesian methods.
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Yes, you can access Growth Curves by Anant Kshirsagar,William Smith in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Preface
- Table of Contents
- 1. Introduction
- 2. The Growth Curve Model
- 3. A Multidimensional Growth Curve Model
- 4. The Sum of Profiles and Time Moving Covariates Models
- 5. A Growth Curve Model with Exchangeably Distributed Errors
- 6. Structured Covariance Matrices, Model Selection, Prediction from Growth Curves and Other Topics
- 7. Growth Curves with Incomplete or Unbalanced Data
- 8. Potthoff-Roy Growth Curve Model: Derivations of Main Results
- 9. Bayesian Analysis of the Potthoff-Roy Model
- 10. Nonparametric Methods in Growth Curve Analysis
- Appendix A. Case Study #1: Effects of Prostaglandin and Leukotriene on the Eyes of Dogs
- Appendix B. Case Study #2: Plasma Silicon Concentrations from Dietary Treatment of Sodium Zeolite A (SZA) in Quarter Horses
- Appendix C. Case Study #3: Endotracheal Suctioning in Intensive Care
- Appendix D. Wilks’ Likelihood Criterion W = |A/|A + B| Factors C(p, ν2, M) to Adjust to χ2 with Degrees of Freedom pν2
- Appendix E. Percentage Points of the Largest Characteristic Root of the Equation |B – λ(A + B)| = 0
- Bibliography
- Index