Detail Cantuman Kembali

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Mathematical Statistics and Data Analysis


This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings.

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.

John A. Rice - Personal Name
3
SR 310 JOH m
978-0-495-11868-8
310
Text
English
Cengage Learning
2007
USA
xvi, 500 hlm; 21 cm; CD
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