An Introduction to Probability and Statistics 论文
2000引用 248
Bayesian Modeling and Causal InferenceNeural Networks and ApplicationsAdvanced Statistical Methods and Models
摘要
Probability Random Variables and Their Probability Distributions Moments and Generating Functions Multiple Random Variables Some Special Distributions Limit Theorems Sample Moments and Their Distributions Parametric Point Estimation Neyman-Pearson Theory of Testing of Hypotheses Some Further Results on Hypotheses Testing Confidence Estimation The General Linear Hypothesis Nonparametric Statistical Inference.