Screen LibraryMathematical statistics with resampling and R /
"Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The third edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. Classroo...
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| Main Authors: | |
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| Group Author: | |
| Published: |
Wiley,
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| Publisher Address: | Hoboken, NJ : |
| Publication Dates: | 2022. |
| Literature type: | Book |
| Language: | English |
| Edition: | Third edition. |
| Subjects: | |
| Summary: |
"Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The third edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. Classroom-tested to ensure a comprehensive presentation, this book uses the powerful and flexible computer language R for data analysis and explore the benefits of modern resampling techniques. It strikes a balance between theory, computing, and applications. Throughout the book, new and updated case studies featuring areas such as COVID-19, climate action, and more illustrate the relevnce of mathematical statistics to real-world applications. This third edition includes several all-new sections, including a discussion of pivotal statistics and causal reference. Written for undergraduate students in mathematical statistics courses as well as practitioners and researchers, this third edition presented a revised and updated guide for applying the most current resampling techniues to mathematical statistics"-- |
| Carrier Form: | xvi, 559 pages : illustrations, forms ; 24 cm |
| Bibliography: | Includes bibliographical references (pages 545-551) and index. |
| ISBN: |
9781119874034 1119874033 |
| Index Number: | QA278 |
| CLC: | O212.1 |
| Call Number: | O212.1/C534/3rd ed. |
| Contents: | Data and Case Studies -- Exploratory Data Analysis -- Introduction to Hypothesis Testing: Permutation Tests -- Sampling Distributions -- Introduction to Confidence Intervals: The Bootstrap -- Estimation -- More Confidence Intervals -- More Hypothesis Testing -- Regression -- Categorical Data -- Bayesian Methods -- One-Way ANOVA -- Additional Topics. |