Exercises in Statistical Inference with detailed solutions

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Last edited by Alice Kirk
June 19, 2015 | History

Exercises in Statistical Inference with detailed solutions

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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Publisher
Bookboon.com

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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

Open Library
OL25689646M
ISBN 13
9788740307528

Links outside Open Library

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History

Download catalog record: RDF / JSON
June 19, 2015 Edited by Alice Kirk Edited without comment.
June 19, 2015 Created by Alice Kirk Added new book.