Well, I obviously cannot do html, but that's not the point of this list!

SOME of Prof. Geyer's Helps

Maximum Likelihoodhttp://www.stat.umn.edu/geyer/s06/5102/notes/like.pdf
Maximum Likelihood Estimatorhttp://www.stat.umn.edu/geyer/5931/mle/mle.pdf
Gram-Schmidthttp://www.stat.umn.edu/geyer/s06/5102/notes/gram.pdf
More on Confidence Intervalshttp://www.stat.umn.edu/geyer/s06/5102/notes/ci.pdf
Fisher Information and Confidence Intervalshttp://www.stat.umn.edu/geyer/s06/5102/notes/fish.pdf
Nonparametric Tests and Confidence Intervalshttp://www.stat.umn.edu/geyer/s06/5102/notes/rank.pdf
Regression in PDFhttp://www.stat.umn.edu/geyer/s06/5102/notes/reg.pdf
mcmchttp://www.stat.umn.edu/geyer/mcmc
-or-http://www.stat.umn.edu/geyer/5102/notes/mcmc.pdf
Exchangeability http://www.stat.umn.edu/geyer/f06/5601/theo/exch/exch.pdf
Breakdown Pointhttp://www.stat.umn.edu/geyer/f06/5601/theo/break/break.pdf
Efficiency and Breakdown Pointhttp://www.stat.umn.edu/geyer/s06/5601/examp/eff.html
Wilcoxon Testshttp://www.stat.umn.edu/geyer/f06/5601/theo/wilcox/wilcox.pdf
Principal Componentshttp://www.stat.umn.edu/geyer/f06/5601/theo/spect/spect.pdf
Subsampling Bootstraphttp://www.stat.umn.edu/geyer/f06/5601/theo/subtoot/sub.pdf
Smoothing in PDFhttp://www.stat.umn.edu/geyer/f06/5601/theo/smoo/smoo.pdf
Sandwich Estimatorhttp://www.stat.umn.edu/geyer/s06/5601/theo/sand/sand.pdf
Weak Convergence in Metric Spaceshttp://www.stat.umn.edu/geyer/8112/notes/metric.pdf
The Weak Law of Large Numbershttp://www.stat.umn.edu/geyer/8112/notes/weaklaw.pdf
Big Oh Pee and Little Oh Peehttp://www.stat.umn.edu/geyer/8112/notes/ohpee.pdf
The Finite-Dimensional Delta Methodhttp://www.stat.umn.edu/geyer/8112/notes/delta.pdf
Asymptotics of Exponential Familieshttp://www.stat.umn.edu/geyer/8112/notes/expfam.pdf
The Wald Consistency Theoremhttp://www.stat.umn.edu/geyer/8112/notes/wald.pdf
The Wilks, Wald, and Rao Testshttp://www.stat.umn.edu/geyer/8112/notes/tests.pdf
Unbiased Estimating Equationshttp://www.stat.umn.edu/geyer/8112/notes/equations.pdf
Stationary Stochastic Processeshttp://www.stat.umn.edu/geyer/8112/notes/stationary.pdf
Markov chainshttp://www.stat.umn.edu/geyer/8112/notes/markov.pdf

Examples and code
# Pie Charts and Bar Plotshttp://www.stat.umn.edu/geyer/3011/examp/pie.html
# Histograms, Stemplots, and Smoothshttp://www.stat.umn.edu/geyer/3011/examp/hist.html
# Mean, etc. and Boxplotshttp://www.stat.umn.edu/geyer/3011/examp/mean.html
# Normal Distributionshttp://www.stat.umn.edu/geyer/3011/examp/norm.html
# Scatter Plots and Correlationhttp://www.stat.umn.edu/geyer/3011/examp/scat.html
# Two Way Tableshttp://www.stat.umn.edu/geyer/3011/examp/tab.html
# Random Sampleshttp://www.stat.umn.edu/geyer/3011/examp/samp.html
# Coin Flips (More Random Samples)http://www.stat.umn.edu/geyer/3011/examp/coin.html
# Sampling Distributionshttp://www.stat.umn.edu/geyer/3011/examp/sampdis.html
# Binomial Distributionshttp://www.stat.umn.edu/geyer/3011/examp/bino.html
# Confidence Intervals for One-Sample Location Problemshttp://www.stat.umn.edu/geyer/3011/examp/conf.html
# Tests of Significance for One-Sample Location Problemshttp://www.stat.umn.edu/geyer/3011/examp/tests.html
# Tests and Confidence Intervals for Two-Sample Location Problemshttp://www.stat.umn.edu/geyer/3011/examp/ttwo.html
# Tests and Confidence Intervals for Proportionshttp://www.stat.umn.edu/geyer/3011/examp/prop.html
# Performance of One-Sample Confidence Intervals for Proportions http://www.stat.umn.edu/geyer/3011/examp/propperf.html

* Calculations Involving Empirical Distributionshttp://www.stat.umn.edu/geyer/s09/5102/examp/empir.html
* Confidence Intervalshttp://www.stat.umn.edu/geyer/s09/5102/examp/ci.html
* Hypothesis Tests and Powerhttp://www.stat.umn.edu/geyer/s09/5102/examp/tests.html
# Power Functionshttp://www.stat.umn.edu/geyer/s06/5102/examp/pow.html
# Maximum Likelihood Estimationhttp://www.stat.umn.edu/geyer/s09/5102/examp/like.html **
http://www.stat.umn.edu/geyer/s06/5102/examp/rlike.html
http://www.stat.umn.edu/geyer/old03/5102/examp/rlike.html

* Bayesian Inferencehttp://www.stat.umn.edu/geyer/s09/5102/examp/bayes.html
# Posterior Medianshttp://www.stat.umn.edu/geyer/s06/5102/examp/potmed.html

# T Tests and Confidence Intervalshttp://www.stat.umn.edu/geyer/old03/5102/examp/ttest.html
# F Testshttp://www.stat.umn.edu/geyer/old03/5102/examp/rp.html
# Chi-Square Testshttp://www.stat.umn.edu/geyer/old03/5102/examp/gof.html

* Regression http://www.stat.umn.edu/geyer/s09/5102/examp/reg.htm *curr*
# Regressionhttp://www.stat.umn.edu/geyer/old03/5102/examp/reg.html
# Linear Regressionhttp://www.stat.umn.edu/geyer/3011/examp/reg.html
* Inference for Regressionhttp://www.stat.umn.edu/geyer/3011/examp/reginf.html
* More on Regressionhttp://www.stat.umn.edu/geyer/old02/5601/examp/regtoo.html
# Regression with Dummy Variables (including ANOVA)http://www.stat.umn.edu/geyer/old03/5102/examp/dummy.html
* Linear Modelshttp://www.stat.umn.edu/geyer/s09/5102/examp/reg.html
* GLM in Rhttp://www.stat.umn.edu/geyer/5931/mle/glm.pdf
* Linear Models and Dummy Variableshttp://www.stat.umn.edu/geyer/s09/5102/examp/dummy.html
* Logistic Regressionhttp://www.stat.umn.edu/geyer/s09/5102/examp/glm.html
* Poisson Regressionhttp://www.stat.umn.edu/geyer/s09/5102/examp/poisson.html
* Poisson Regression Example in Rhttp://www.stat.umn.edu/geyer/5931/mle/seeds.pdf
* Model Selection http://www.stat.umn.edu/geyer/s09/5102/examp/select.html
* Model Selection in Rhttp://www.stat.umn.edu/geyer/5931/mle/sel.pdf

* Categorical Data Analysishttp://www.stat.umn.edu/geyer/s09/5102/examp/cat.html

# Simulation http://www.stat.umn.edu/geyer/old03/5102/examp/sim.html
* MCMChttp://www.stat.umn.edu/geyer/mcmc/library/mcmc/doc/demo.pdf

Classical Rank Procedures
* Fuzzy P-Values and Confidence Intervals
* Sign Test and Related Procedureshttp://www.stat.umn.edu/geyer/s09/5102/examp/sign.html **
-or- http://www.stat.umn.edu/geyer/old/5601/examp/sign.html
* Signed Rank Test and Related Procedureshttp://www.stat.umn.edu/geyer/s09/5102/examp/wilcox.html
* Wilcoxon Signed Rank Test and Related Procedureshttp://www.stat.umn.edu/geyer/old/5601/examp/signrank.html
* Wilcoxon Rank Sum Test and Related Procedureshttp://www.stat.umn.edu/geyer/old/5601/examp/ranksum.html
* Permutation Tests (a. k. a. Randomization Tests)http://www.stat.umn.edu/geyer/old/5601/examp/perm.html
* One-Way Layout Procedureshttp://www.stat.umn.edu/geyer/old/5601/examp/oneway.html
* Two-Way Layout Procedureshttp://www.stat.umn.edu/geyer/old/5601/examp/twoway.html
* Procedures for Independence or Correlationhttp://www.stat.umn.edu/geyer/old/5601/examp/corr.html
* Efficiency and Breakdown Point (see theory)http://www.stat.umn.edu/geyer/old02/5601/examp/eff.html

# Kolmogorov-Smirnov and Lilliefors Testshttp://www.stat.umn.edu/geyer/old03/5102/examp/ks.html
* Kolmogorov-Smirnov Tests and Related Procedures http://www.stat.umn.edu/geyer/old/5601/examp/kolmogorov.html

* Survival Analysis http://www.stat.umn.edu/geyer/old/5601/examp/life.html

The Parametric Bootstraphttp://www.stat.umn.edu/geyer/---/5601/examp/parm.html
-or-http://www.stat.umn.edu/geyer/8701/parm/

Nonparametric Bootstrap
* The Bootstraphttp://www.stat.umn.edu/geyer/old03/5102/examp/boot.html
* Bootstrap Gamma Example in Rhttp://www.stat.umn.edu/geyer/5931/mle/gamma.pdf
* Bootstrap Standard Errorshttp://www.stat.umn.edu/geyer/old/5601/examp/bse.html
http://www.stat.umn.edu/geyer/old02/5601/examp/bse.html
* Subsamplinghttp://www.stat.umn.edu/geyer/old02/5601/examp/subboot.html
* The Subsampling Bootstraphttp://www.stat.umn.edu/geyer/old/5601/examp/subboot.html
* Bootstrap "T" Intervalshttp://www.stat.umn.edu/geyer/old/5601/examp/boott.html
* Bootstrap Percentile Intervalshttp://www.stat.umn.edu/geyer/old/5601/examp/percent.html
* "Better" Bootstrap Confidence Intervals http://www.stat.umn.edu/geyer/old/5601/examp/better.html
* Subsampling Bootstrap Confidence Intervalshttp://www.stat.umn.edu/geyer/old/5601/examp/subtoot.html
* More on the Parametric Bootstrap http://www.stat.umn.edu/geyer/old02/5601/examp/parm.html
* Nonparametric Bootstrap Hypothesis Testshttp://www.stat.umn.edu/geyer/old02/5601/examp/tests.html

Smoothing
* A Variety of Smoothershttp://www.stat.umn.edu/geyer/---/5601/examp/smoo.html
* Bandwidth Selection http://www.stat.umn.edu/geyer/---/5601/examp/smootoo.html
* The Sandwich Estimator http://www.stat.umn.edu/geyer/----/5601/examp/sand.html