Recommended books
These are Prof. Harry Joe’s suggestions for resources on different statistical topics that students might not be exposed to before Stat 550/551.
The student can also learn about the topic and not just about how an R function works.
Books with R in the title are generally not good for learning the theory.
A book reference with theory and good examples is better than a URL.
- ANOVA for different experimental designs (includes random effects, unbalanced).
- Statistical Analysis of Designed Experiments, A C. Tamhane (2009), Wiley.
- Logistic regression and diagnostics.
- Applied Logistic Regression, 2nd ed, Hosmer and Lemeshow (2000), Wiley.
- Survival or time-to-event data.
- Statistical Models and Methods for Lifetime Data, 2nd ed, J.F. Lawless (2003), Wiley.
- Time series including multivariate.
- Time Series Analysis, Univariate and multivariate methods, 2nd ed., W.W.S. Wei (1990), Addison.
- Factor models as part of multivariate statistics.
- Applied Multivariate Statistical Analysis, 5th ed, Johnson and Wichern (2002), Prentice Hall (not e-available).
- SEM = Structural equation models.
- Linear Causal Modeling with Structural Equations, S.A. Mulaik (2009), Chapman&Hall/CRC.
- Meta-analysis.
- Meta-Analysis of Controlled Clinical Trials, A. Whitehead (2002), Wiley.
- Numerical maximum likelihood.
- Nonlinear Parameter Optimization Using R Tools, J.C. Nash (2014), Wiley.
- Item response, validity and reliability of instruments for abstract attributes.
- Test Theory: A Unified Treatment, R.D. McDonald (1999), Routledge.
- Sample size calculation. e.g. non-central t, non-central F etc.,. and general approach.
- Statistical power analysis : a simple and general model for traditional and modern hypothesis tests, 4th edition. Kevin R. Murphy, Brett Myors, Allen Wolach (2014), Routledge.
- This book covers many cases. However the principle of sample size calculation can be shown better in a few pages based on examples that show the derivation of the distribution of the test statistic under a point null hypothesis and under a point alternative hypothesis.
- Survey sampling
- Sampling Design and Analysis, Second Edition. Sharon L. Lohr, CRC 2019.
- Especially Chapter 8 Nonresponse; Section 8.3 Callbacks and Two-Phase Sampling.
- TRC Market Research, Non-Response Bias In Survey Sampling.
- Machine learning procedures
- Elements of Statistical Learning, 2nd edition. Hastie, Tibshirani, and Friedman (2009), Springer.