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Last edited by Alice Kirk
June 19, 2015 | History
Statistical inference is a process of drawing general conclusions from data in a specific sample. Typical inferential problems are: Does alternative A give higher return than alternative B? Is drug A more effective than drug B? In both cases solutions are based on observations in a single sample.
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Publish Date
2013
Publisher
Bookboon.com
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Edition | Availability |
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Exercises in Statistical Inference with detailed solutions
2013, Bookboon.com
8740307522 9788740307528
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Book Details
Table of Contents
Content
1. Introduction
1.1. Purpose of this book
1.2. Chapter content and plan of the book
1.3. Statistical tables and facilities
2. Basic probability and mathematics
2.1. Probability distributions of discrete and continuous random variables
2.2. Some distributions
2.3. Mathematics
2.4. Final words
3. Sampling Distributions
3.1. Some exact sampling distributions
3.2. Sample moments
3.3. Asymptotic and approximate results in sampling theory
3.4. Final words
4. Point estimation
4.1. Concepts
4.2. Requirements on estimators
4.3. Estimation methods
4.4. Final words
5. Interval estimation
5.1. Concepts
5.2. CIs in small samples by means of pivotal statistics
5.3. Approximate CIs in large samples based on Central Limit Theorems
5.4. Some further topics
5.5. Final words
6. Hypothesis Testing
6.1. Concepts
6.2. Methods of finding tests
6.3. The power of normally distributed statistics
6.4. Adjusted p-values for simultaneous inference
6.5. Randomized tests
6.6. Some tests for linear models
6.7. Final wjords
ID Numbers
Links outside Open Library
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Feedback?June 19, 2015 | Edited by Alice Kirk | Edited without comment. |
June 19, 2015 | Created by Alice Kirk | Added new book. |