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Mathematical Statistics and Data Analysis

Technometrics · 1989 · Vol. 31(3) · pp. 390–390

Larry Rabinowitz✉(William & Mary)John A. Rice

Abstract

1. Probability. 2. Random Variables. 3. Joint Distributions. 4. Expected Values. 5. Limit Theorems. 6. Distributions Derived from the Normal Distribution. 7. Survey Sampling. 8. Estimation of Parameters and Fitting of Probability Distributions. 9. Testing Hypotheses and Assessing Goodness of Fit. 10. Summarizing Data. 11. Comparing Two Samples. 12. The Analysis of Variance. 13. The Analysis of Categorical Data. 14. Linear Least Squares. 15. Decision Theory and Bayesian Inference.

Advanced Statistical Methods and Models Forecasting Techniques and ApplicationsStatisticsMathematicsCategorical variableGoodness of fitProbability distributionJoint probability distributionSampling distributionEconometrics

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