Statistical Analysis of Empirical Data: Methods for Applied Sciences

Chapter 1: Fundamentals.- Chapter 2: Sample Statistics are NOT Parameters.- Chapter 3: Confidence.- Chapter 4: Multiplicity and Multiple Comparisons.- Chapter 5: Power and the Myth of Sample Size Determination.- Chapter 6: Regression and Model Fitting with Collinearity.- Chapter 7: Overparameterization.- Chapter 8: Ignoring Error Control Factors and Experimental Design.- Chapter 9: Generalized Linear Models.- Chapter 10: Mixed Models and Variance Components.- Chapter 11: Models, Models Everywhere...Model Selection.- Chapter 12: Bayesian Analyses.- Chapter 13: The Acceptance Sampling Game.- Chapter 14: Nonparametric Statistics - A Strange Name.- Chapter 15: Autocorrelated Data and Dynamic Systems.- Chapter 16: Multivariate Analysis and Classification.- Chapter 17: Time-to-Event: Survival and Life Testing.- Index.