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![[9780321923271] [0321923278] probability and statistical inference ninth edition](https://images-na.ssl-images-amazon.com/images/I/41u6GikxdGL.jpg)
1. Probability and Statistical Inference (8th Edition)
Feature
Used Book in Good ConditionDescription
BOOK DESCRIPTION:
Written by two leading statisticians, this applied introduction to the mathematics of probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.
NEW TO THIS EDITION:
- The included CD-ROM contains all of the data sets in a variety of formats for use with most statistical software packages. This disc also includes several applications of Minitab and Maple.
- Historical vignettes at the end of each chapter outline the origin of the greatest accomplishments in the field of statistics, adding enrichment to the course.
Content updates
- The first five chapters have been reorganized to cover a standard probability course with more real examples and exercises. These chapters are important for students wishing to pass the first actuarial exam, and cover the necessary material needed for students taking this course at the junior level.
- Chapters 6 and 7 on estimation and tests of statistical hypotheses tie together confidence intervals and tests, including one-sided ones. There are separate chapters on nonparametric methods, Bayesian methods, and Quality Improvement.
- Chapters 4 and 5 include a strong discussion on conditional distributions and functions of random variables, including Jacobians of transformations and the moment-generating technique. Approximations of distributions like the binomial and the Poisson with the normal can be found using the central limit theorem.
- Chapter 8 (Nonparametric Methods) includes most of the standards tests such as those by Wilcoxon and also the use of order statistics in some distribution-free inferences.
- Chapter 9 (Bayesian Methods) explains the use of the "Dutch book" to prove certain probability theorems.
- Chapter 11 (Quality Improvement) stresses how important W. Edwards Deming's ideas are in understanding variation and how they apply to everyday life.
TABLE OF CONTENTS:
Preface
Prologue
1. Probability
1.1 Basic Concepts
1.2 Properties of Probability
1.3 Methods of Enumeration
1.4 Conditional Probability
1.5 Independent Events
1.6 Bayes's Theorem
2. Discrete Distributions
2.1 Random Variables of the Discrete Type
2.2 Mathematical Expectation
2.3 The Mean, Variance, and Standard Deviation
2.4 Bernoulli Trials and the Binomial Distribution
2.5 The Moment-Generating Function
2.6 The Poisson Distribution
3. Continuous Distributions
3.1 Continuous-Type Data
3.2 Exploratory Data Analysis
3.3 Random Variables of the Continuous Type
3.4 The Uniform and Exponential Distributions
3.5 The Gamma and Chi-Square Distributions
3.6 The Normal Distribution
3.7 Additional Models
4. Bivariate Distributions
4.1 Distributions of Two Random Variables
4.2 The Correlation Coefficient
4.3 Conditional Distributions
4.4 The Bivariate Normal Distribution
5. Distributions of Functions of Random Variables
5.1 Functions of One Random Variable
5.2 Transformations of Two Random Variables
5.3 Several Independent Random Variables
5.4 The Moment-Generating Function Technique
5.5 Random Functions Associated with Normal Distributions
5.6 The Central Limit Theorem
5.7 Approximations for Discrete Distributions
6. Estimation
6.1 Point Estimation
6.2 Confidence Intervals for Means
6.3 Confidence Intervals for Difference of Two Means
6.4 Confidence Intervals for Variances
6.5 Confidence Intervals for Proportions
6.6 Sample Size.
6.7 A Simple Regression Problem
6.8 More Regression
7. Tests of Statistical Hypotheses
7.1 Tests about Proportions
7.2 Tests about One Mean
7.3 Tests of the Equality of Two Means
7.4 Tests for Variances
7.5 One-Factor Analysis of Variance
7.6 Two-Factor Analysis of Variance
7.7 Tests Concerning Regression and Correlation
8. Nonparametric Methods
8.1 Chi-Square Goodness of Fit Tests
8.2 Contingency Tables
8.3 Order Statistics
8.4 Distribution-Free Confidence Intervals for Percentiles
8.5 The Wilcoxon Tests
8.6 Run Test and Test for Randomness
8.7 Kolmogorov-Smirnov Goodness of Fit Test
8.8 Resampling Methods
9. Bayesian Methods
9.1 Subjective Probability
9.2 Bayesian Estimation
9.3 More Bayesian Concepts
10. Some Theory
10.1 Sufficient Statistics
10.2 Power of a Statistical Test
10.3 Best Critical Regions
10.4 Likelihood Ratio Tests
10.5 Chebyshev's Inequality and Convergence in Probability
10.6 Limiting Moment-Generating Functions
10.7 Asymptotic Distributions of Maximum Likelihood Estimators
11. Quality Improvement Through Statistical Methods
11.1 Time Sequences
11.2 Statistical Quality Control
11.3 General Factorial and 2k Factorial Designs
11.4 Understanding Variation
A. Review of Selected Mathematical Techniques
A.1 Algebra of Sets
A.2 Mathematical Tools for the Hypergeometric Distribution
A.3 Limits
A.4 Infinite Series
A.5 Integration
A.6 Multivariate Calculus
B. References
C. Tables
D. Answers to Odd-Numbered Exercises
2. Probability and Statistical Inference (9th Edition)
Feature
Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation.Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts
Description
Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.3. Probability and Statistical Inference (Statistics: A Series of Textbooks and Monographs)
Feature
Used Book in Good ConditionDescription
Priced very competitively compared with other textbooks at this level!This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts.
Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference
Employing over 1400 equations to reinforce its subject matter, Probability and Statistical Inference is a groundbreaking text for first-year graduate and upper-level undergraduate courses in probability and statistical inference who have completed a calculus prerequisite, as well as a supplemental text for classes in Advanced Statistical Inference or Decision Theory.
4. Probability and Statistical Inference
Description
Now updated in a valuable new editionthis user-friendly bookfocuses on understanding the "why" of mathematical statisticsProbability and Statistical Inference, Second Edition introduceskey probability and statis-tical concepts through non-trivial,real-world examples and promotes the developmentof intuition ratherthan simple application. With its coverage of the recentadvancements in computer-intensive methods, this updatesuccessfully provides the comp-rehensive tools needed to develop abroad understanding of the theory of statisticsand itsprobabilistic foundations. This outstanding new edition continuesto encouragereaders to recognize and fully understand the why, notjust the how, behind the concepts,theorems, and methods ofstatistics. Clear explanations are presented and appliedto variousexamples that help to impart a deeper understanding of theorems andmethodsfrom fundamental statistical concepts tocomputational details.
Additional features of this Second Edition include:
A new chapter on random samples
Coverage of computer-intensive techniques in statisticalinference featuring Monte Carlo and resampling methods, such asbootstrap and permutation tests, bootstrap confidence intervalswith supporting R codes, and additional examples available via thebook's FTP site
Treatment of survival and hazard function, methods of obtainingestimators, and Bayes estimating
Real-world examples that illuminate presented concepts
Exercises at the end of each section
Providing a straightforward, contemporary approach to modern-daystatistical applications, Probability and Statistical Inference,Second Edition is an ideal text for advanced undergraduate- andgraduate-level courses in probability and statistical inference. Italso serves as a valuable reference for practitioners in anydiscipline who wish to gain further insight into the lateststatistical tools.
5. Probability and Statistical Inference (7th Edition)
Description
This applied introduction to the mathematics of probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variability. Designed for students with a background in calculus, it reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.6. Introduction to Mathematical Statistics (8th Edition) (What's New in Statistics)
Description
For courses in mathematical statistics.
Comprehensive coverage of mathematical statistics with a proven approach
Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the texts flexible organization makes it ideal for a range of mathematical statistics courses.
Substantial changes to the 8th Edition many based on user feedback help students appreciate the connection between statistical theory and statistical practice, while other changes enhance the development and discussion of the statistical theory presented.
0134686993 / 9780134686998 Introduction to Mathematical Statistics, 8/e
7. [9780321923271] [0321923278] probability and statistical inference ninth edition
8. Introduction to Mathematical Statistics
Description
This classic book retains its outstanding ongoing features and continues to provide readers with excellent background material necessary for a successful understanding of mathematical statistics. Chapter topics cover classical statistical inference procedures in estimation and testing, and an in-depth treatment of sufficiency and testing theoryincluding uniformly most powerful tests and likelihood ratios. Many illustrative examples and exercises enhance the presentation of material throughout the book. For a more complete understanding of mathematical statistics.
9. Introduction to Mathematical Statistics (7th Edition)
Feature
Used Book in Good ConditionDescription
Introduction to Mathematical Statistics, Seventh Edition, offers a proven approach designed to provide you with an excellent foundation in mathematical statistics. Ample examples and exercises throughout the text illustrate concepts to help you gain a solid understanding of the material.