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Probability and Statistical Inference [With CDROM]

odysseo_2000
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Item specifics

Condition
Very good: A book that does not look new and has been read but is in excellent condition. No obvious ...
Binding
Hardcover
Product Group
Book
Weight
2 lbs
Subject
Statistics
IsTextBook
Yes
ISBN
9780130272942

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0130272949
ISBN-13
9780130272942
eBay Product ID (ePID)
1680423

Product Key Features

Number of Pages
704 Pages
Publication Name
Probability and Statistical Inference
Language
English
Publication Year
2000
Subject
Probability & Statistics / General
Type
Textbook
Author
Elliot A. Tanis, Robert V. Hogg
Subject Area
Mathematics
Format
Hardcover

Dimensions

Item Height
1.1 in
Item Weight
43.7 Oz
Item Length
9.4 in
Item Width
7.1 in

Additional Product Features

Edition Number
6
Intended Audience
College Audience
LCCN
00-025352
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
1. Empirical and Probability Distributions. Basic Concepts. The Mean, Variance, and Standard Deviation. Continuous-Type Data. Exploratory Data Analysis. Graphical Comparisons of Data Sets. Time Sequences. Probability Density and Mass Functions. 2. Probability. Properties of Probability. Methods of Enumeration. Conditional Probability. Independent Events. Bayes' Theorem. 3. Discrete Distributions. Random Variables of the Discrete Type. Mathematical Expectation. Bernoulli Trials and the Binomial Distribution. The Moment-Generating Function. The Poisson Distribution. 4. Continuous Distributions. Random Variables of the Continuous Type. The Uniform and Exponential Distributions. The Gamma and Chi-Square Distributions. The Normal Distribution. Distributions of Functions of a Random Variable. Mixed Distributions and Censoring. 5. Multivariable Distributions. Distributions of Two Random Variables. The Correlation Coefficient. Conditional Distributions. The Bivariate Normal Distribution. Transformations of Random Variables. Order Statistics. 6. Sampling Distribution Theory. Independent Random Variables. Distributions of Sums of Independent Random Variables. Random Functions Associated with Normal Distributions. The Central Limit Theorem. Approximations for Discrete Distributions. The t and F Distributions. Limiting Moment-Generating Functions. Chebyshev's Inequality and Convergence in Probability.Importance of Understanding Variability. 7. Estimation.Point Estimation. Confidence Intervals for Means. Confidence Intervals for Difference of Two Means. Confidence Intervals for Variances. Confidence Intervals for Proportions. Sample Size. Distribution-Free Confidence Intervals for Percentiles. A Simple Regression Problem. More Regression.8. Tests of Statistical Hypotheses.Tests about Proportions. Tests about One Mean and One Variance. Tests of the Equality of Two Normal Distributions. Chi-Square Goodness of Fit Test. Contingency Tables. Tests of the Equality of Several Means. Two-Factor Analysis of Variance. Tests Concerning Regression and Correlation. The Wilcoxon Tests. Kolmogorov-Smirnov Goodness of Fit Test. Resampling Methods. Run Test and Test for Randomness.9. Theory of Statistical Inference.Sufficient Statistics. Power of a Statistical Test. Best Critical Regions. Likelihood Ratio Tests. Bayesian Estimation. Asymptotic Distributions of Maximum Likelihood Estimators.10. Quality Improvement through Statistical Methods.Statistical Quality Control. General Factorial and 2k Factorial Designs. More on Design of Experiments.Epilogue.Appendix A. Review of Selected Mathematical Techniques.Algebra of Sets. Mathematical Tools for the Hypergeometric Distribution. Limits. Infinite Series. Integration. Multivariate Calculus.Appendix B. References.Appendix C. Tables.Appendix D. Answers to Odd-Numbered Exercises.Index.
Synopsis
For a one/two-semester, junior/senior-level course in Math Stat and/or calculus based Probability and Statistics. This applied introduction to the mathematics of probability and statistics for students with a background in calculus uses numerous examples, real data based applications, and computer driven exercises to help explain and motivate the concepts., For a one/two-term, undergraduate course in Mathematics of Probability and Statistics. This accessible introduction to the mathematics of probability and statistics for students with a background in calculus uses numerous applications to help explain and motivate the concepts. *NEW- Probability models - Introduced in Ch. 1. Enables students to recognize from the beginning that the characteristics of the empirical distributions are estimates of those of probability distributions. Spurs their interest in checking to see if a probability model is appropriate for the situation under consideration throughout the text. *NEW - Simplified presentation of concepts in probability and basic distributions - (Chs. 2-4). Introduces a few of the easiest distributions through examples; eliminates the probability generating function, and notes that the moment-generating function can serve in that capacity. *NEW - Earlier introduction of multivariate distributions - But only the first section of the chapter is needed for the chapters that follow on techniques used in statistical inference. *NEW - More emphasis on model checking. *NEW - Greater emphasis on confidence intervals *NEW - A section on res
LC Classification Number
QA273.H694 2001

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    Verified purchase: YesCondition: Pre-ownedSold by: thrift.books

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