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Foundations of Linear and Generalized Linear Models by Alan Agresti

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Subject Index

  • Adaptive lasso
  • Added variable plot
  • Adjusted means
  • Adjusted R-squared
  • Adjusted response variable
  • Affine space
  • AIC
  • Aitken model
  • Aliasing
  • Analysis of covariance
  • Analysis of variance (ANOVA)
    • ANOVA table
    • factorial
    • multivariate
    • one-way
    • R. A. Fisher
    • repeated measures
    • two-way
  • ANOVA, see Analysis of variance
  • Attenuation bias
  • Autoregressive correlation structure
  • Average causal effect
  • Backward elimination
  • Balanced data
  • Baseline-category logit model
    • discrete-choice model
    • likelihood function
    • sufficient statistics
  • Bayes factor
  • Bayesian inference
    • binary regression models
    • introduction
    • large p
    • normal linear model
  • Bayesian modeling
  • Bernoulli trials
    • correlated
  • Best linear unbiased estimator
  • Beta distribution
    • prior for binomial parameter
  • Beta-binomial distribution
    • negative binomial connection
  • Beta-binomial models
  • Between-groups sum of squares
  • Between-subject effects
  • Bias reduction
    • logistic regression
  • Bias–variance tradeoff
    • kernel smoothing
    • penalized likelihood
  • BIC
  • Binary GLM
    • Bayesian
    • overdispersion
    • random effects
  • Binomial distribution
    • Bayesian inference
    • exponential family form
    • overdispersion
    • residuals
  • Bivariate regression
  • BLUP
  • Bonferroni method
  • Boole's inequality
  • Bootstrap
  • Bradley–Terry model
  • Breakdown point
  • Calibration
  • Canonical link function
  • Case-control study
    • logistic regression
  • Cauchit link function
  • Censored data
  • Centering explanatory variables
  • Chi-squared distribution
    • noncentral
  • Chi-squared test
    • count data
    • logistic goodness-of-fit ...

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