Book 2

Introduction to Mathematical Statistics

[112/88%]

M. E. Zhukovskiy, I. V. Rodionov, D. A. Shabanov

Chapter 2.1Types of Convergence of Random Vectors[8/13%]

Chapter 2.2Statistics and Estimators[10/90%]

Chapter 2.3Methods for Finding Estimators[10/100%]

Chapter 2.4Comparison of Estimators and Efficient Estimators[9/78%]

Chapter 2.5Conditional Expectation[8/100%]

Chapter 2.6Conditional Distributions and Computing Conditional Expectations[8/100%]

Chapter 2.7Sufficient Statistics and Optimal Estimators[8/100%]

Chapter 2.8Confidence Intervals[8/100%]

Chapter 2.9Linear Regression[7/100%]

Chapter 2.10Testing Statistical Hypotheses[8/75%]

Chapter 2.11Testing Linear Hypotheses in the Gaussian Regression Model[6/100%]

Chapter 2.12Goodness-of-Fit Tests[8/100%]

Chapter 2.13Correlation Coefficients[8/88%]

Chapter 2.14Bayesian Estimators[6/100%]