内容

目次

Probability and the Future of Statistics.- A Neyman-Pearson-Wald View of Fiducial Probability.- Statistical Principles and Tangent Models.- Data Based Choice of an Ancillary Statistic.- Bernoulli Pairs with Invariant Reversals: An Example of Partial Likelihood.- A Decision-Likelihood Solution to the Problem of Comparing Two Simple Hypotheses.- Statistical Inference for the Overlap Hypothesis.- Bayesian Method of Detecting Change Point in Regression and Growth Curve Models.- How Much Improvement Can a Shrinkage Estimator Give?.- On Shrinkage and Preliminary Test M-Estimation in a Parallelism Problem.- An Algorithm for Concave Regression.- On the Prediction of the Difference Between Responses from Two Linear Models.- On Ultrastructural Relationships Models.- Testing for the Nullity of the Multiple Correlation Coefficient with Incomplete Multivariate Data.- Missing Value Problems in Multiple Linear Regression with Two Independent Variables.- A Bound for the Tail Area of the t Distribution for Samples from a Symmetrically Truncated Normal Population.- Maximum Likelihood Estimates for Stochastically Ordered Multinomial Populations with Fixed and Random Zeros.- On the Definition of Asymptotic Expectation.- Robust Techniques for Quantifying Categorical Data.- The Basic Bayesian Blunder.- Dynamic Coherence.- Sketch of the Theory of Nomic Probability.- Entropy and Uncertainty.