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Mathematical Statistics and Data Analysis Hardcover w/ CD Data Sets
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Mathematical Statistics and Data Analysis Hardcover w/ CD Data Sets
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Mathematical Statistics and Data Analysis Hardcover w/ CD Data Sets

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Condition:
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Has a sturdy binding with some shelf wear. No creases in cover or pages. Unmarked copy.Please see ... Read moreabout condition
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    Item specifics

    Condition
    Good
    A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
    Seller Notes
    “Has a sturdy binding with some shelf wear. No creases in cover or pages. Unmarked copy.Please see ...
    Release Year
    2006
    Book Title
    Mathematical Statistics and Data Analysis (with CD Data Sets) ...
    ISBN
    9780534399429
    Subject Area
    Mathematics
    Publication Name
    Mathematical Statistics and Data Analysis (With CD Data Sets)
    Publisher
    Brooks/Cole
    Item Length
    1.3 in
    Subject
    Probability & Statistics / General
    Publication Year
    2006
    Series
    Available 2010 Titles Enhanced Web Assign Ser.
    Type
    Textbook
    Format
    Hardcover
    Language
    English
    Item Height
    9.2 in
    Author
    John A. Rice
    Features
    Revised
    Item Weight
    43.2 Oz
    Item Width
    7.6 in
    Number of Pages
    688 Pages
    Category

    About this product

    Product Identifiers

    Publisher
    Brooks/Cole
    ISBN-10
    0534399428
    ISBN-13
    9780534399429
    eBay Product ID (ePID)
    48328803

    Product Key Features

    Number of Pages
    688 Pages
    Language
    English
    Publication Name
    Mathematical Statistics and Data Analysis (With CD Data Sets)
    Publication Year
    2006
    Subject
    Probability & Statistics / General
    Features
    Revised
    Type
    Textbook
    Author
    John A. Rice
    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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