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Mathematische Statistik und Datenanalyse von John Rice 3. Aufl. Hardcover
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eBay-Artikelnr.:265220862655
Artikelmerkmale
- Artikelzustand
- Subject Area
- Mathematical Analysis
- Subject
- Statistics
- ISBN
- 9780534399429
- EAN
- 9780534399429
Über dieses Produkt
Product Identifiers
Publisher
Brooks/Cole
ISBN-10
0534399428
ISBN-13
9780534399429
eBay Product ID (ePID)
48328803
Product Key Features
Number of Pages
688 Pages
Publication Name
Mathematical Statistics and Data Analysis (With CD Data Sets)
Language
English
Subject
Probability & Statistics / General
Publication Year
2006
Features
Revised
Type
Textbook
Subject Area
Mathematics
Series
Available 2010 Titles Enhanced Web Assign Ser.
Format
Hardcover
Dimensions
Item Height
9.2 in
Item Weight
43.2 Oz
Item Length
1.3 in
Item Width
7.6 in
Additional Product Features
Edition Number
3
Intended Audience
College Audience
LCCN
2005-938314
Dewey Edition
19
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
1. PROBABILITY.Introduction. Sample Spaces. Probability Measures. Computing Probabilities: Counting Methods. Conditional Probability. Independence. Concluding Remarks. Problems.2. RANDOM VARIABLES.Discrete Random Variables. Continuous Random Variables. Functions of a Random Variable. Concluding Remarks. Problems.3. JOINT DISTRIBUTIONS.Introduction. Discrete Random Variables. Continuous Random Variables. Independent Random Variables. Conditional Distributions. Functions of Jointly Distributed Random Variables. Extrema and Order Statistics. Problems.4. EXPECTED VALUES.The Expected Value of a Random Variable. Variance and Standard Deviation. Covariance and Correlation. Conditional Expectation and Prediction. The Moment-Generating Function. Approximate Methods. Problems.5. LIMIT THEOREMS.Introduction. The Law of Large Numbers. Convergence in Distribution and the Central Limit Theorem. Problems .6. DISTRIBUTIONS DERIVED FROM THE NORMAL DISTRIBUTION.Introduction. Chi-Squared, t, and F Distributions. The Sample Mean and Sample Variance. Problems.7. SURVEY SAMPLING.Introduction. Population Parameters. Simple Random Sampling. Estimation of a Ratio. Stratified Random Sampling. Concluding Remarks. Problems.8. ESTIMATION OF PARAMETERS AND FITTING OF PROBABILITY DISTRIBUTIONS.Introduction. Fitting the Poisson Distribution to the Emissions of Alpha Particles. Parameter Estimation. The Method of Moments. The Method of Maximum Likelihood. The Bayesian Approach to Parameter Estimation. Efficiency and the Cramer-Rao Lower Bound. Sufficiency. Concluding Remarks. Problems.9. TESTING HYPOTHESES AND ASSESSING GOODNESS OF FIT.Introduction. The Neyman-Pearson Paradigm. The Duality of Confidence Intervals and Hypothesis Tests. Generalized Likelihood Ratio Tests. Likelihood Ratio Tests for the Multinomial Distribution. The Poisson Dispersion Test. Hanging Rootograms. Probability Plots. Tests for Normality. Concluding Remarks. Problems.10. SUMMARIZING DATA.Introduction. Methods Based on the Cumulative Distribution Function. Histograms, Density Curves, and Stem-and-Leaf Plots. Measures of Location. Measures of Dispersion. Boxplots. Exploring Relationships with Scatterplots. Concluding Remarks. Problems.11. COMPARING TWO SAMPLES.Introduction. Comparing Two Independent Samples. Comparing Paired Samples. Experimental Design. Concluding Remarks. Problems.12. THE ANALYSIS OF VARIANCE.Introduction. The One-Way Layout. The Two-Way Layout. Concluding Remarks. Problems.13. THE ANALYSIS OF CATEGORICAL DATA.Introduction. Fisher''s Exact Test. The Chi-Square Test of Homogeneity. The Chi-Square Test of Independence. Matched-Pairs Designs. Odds Ratios. Concluding Remarks. Problems.14. LINEAR LEAST SQUARES.Introduction. Simple Linear Regression. The Matrix Approach to Linear Least Squares. Statistical Properties of Least Squares Estimates. Multiple Linear Regression--An Example. Conditional Inference, Unconditional Inference, and the Bootstrap. Concluding Remarks. Problems.15. DECISION THEORY AND BAYESIAN INFERENCE.Introduction. Decision Theory. The Subjectivist Point of View. Concluding Remarks. Problems.Appendix A. Common Distributions.Appendix B. Tables.Bibliography.Answers to Selected Problems.Author Index.Index to Data Sets.Subject Index.
Edition Description
Revised edition
Synopsis
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.
LC Classification Number
QA276.12.R53 2007
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