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Model Selection and Multimodel Inference
    by Kenneth P. Burnham  & David R. Anderson (2nd ed., 2002). Graduate-level monograph on methods for selecting parametric models using an information theoretic approach with examples using complex datasets.  Starts with background on likelihood & least squares theory, principle of parsimony. Akaike Information Criterion & related penalized likelihoods, the Kullback-Leibler distance between two models, confidence sets for best models, ranking models, bootstrap methods, and more.

Goodness-of-Fit Tests and Model Validity
    edited by C. Huber-Carol, N. Balakrishnan, M.S. Nikulin & M. Mesbah (2002). Conference proceedings on recent research13 involving goodness-of-fit. Topics include Pearson’s chi-squared, Shapiro-Wilk tests, Kolmogorov-Smirnov and Cramer-von-Mises tests, robust methods (outliers), survival models (censoring), and graphical methods.

Survival Analysis: A Self-Learning Text
    by David G. Kleinbaum and Mitchel Klein (2nd ed, 2005).  Popular text on methods for censored data with emphasis on applications in biomedicine.  Includes Kaplan-Meier estimatpr, life table analysis, hypothesis testing, log-rank and Peto 2-sample tests, proportional hazards model and Cox regression, likelihoods for parametric models, and competing risks.

Statistical Analysis of Spherical Data
    by N. I. Fisher, T. Lewis & B. J. J. Embleton (1993). Monograph treating data distributed on a circle or sphere. Includes data displays, goodness-of-fit tests, distribution functions, tests for isotropy and symmetry, multimodal analysis, correlation and regression.
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