Now available in paperback. This book covers some recent developments in statistical inference. The author's main aim is to develop a theory of generalized p-values and generalized confidence intervals and to show how these concepts may be used to make exact statistical inferences in a variety of practical applications. In particular, they provide methods applicable in problems involving nuisance parameters such as those encountered in comparing two exponential distributions or in ANOVA without the assumption of equal error variances. The generalized procedures are shown to be more powerful in detecting significant experimental results and in avoiding misleading conclusions.
Exact Statistical Methods for Data Analysis
and over one million other books are available for Amazon Kindle.
Learn more
FREE Two-Day Shipping for students on millions of items. Learn more |
| ||||||||||||||||||||||||
Book Description
Editorial Reviews
From the Back Cover
Now available in paperback.
--This text refers to the
Paperback
edition.
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
There are no customer reviews yet.
|
|||
|
Video reviews
|
Inside This Book
(learn more)
Browse and search another edition of this book.
Browse and search another edition of this book.
First Sentence:
In this book we are concerned with the basic theory and methods of statistical inference and major applications such as Regression and Analysis of Variance. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Review of Special Distributions, Balanced Two-Way Layout, Least Squares Estimation, N-k N-k New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
In this book we are concerned with the basic theory and methods of statistical inference and major applications such as Regression and Analysis of Variance. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Review of Special Distributions, Balanced Two-Way Layout, Least Squares Estimation, N-k N-k New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 90
books:
See all 90 books this book cites
70
books
cite this book:
See all 70 books citing this book
- Variance Components by Shayle Robert Searle in Back Matter (1), Back Matter (2), and Back Matter (3)
- Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics) by James O. Berger in Front Matter, and Back Matter
- Statistical Methods by John Delane Williams in Back Matter (1), and Back Matter (2)
- Testing Statistical Hypotheses (Springer Texts in Statistics) by Erich L. Lehmann in Back Matter (1), and Back Matter (2)
- Statistical Decision Theory: Foundations, Concepts, and Methods (Springer Series in Statistics) by J.O. Berger in Front Matter, and Back Matter
See all 90 books this book cites
- Statistical Tests for Mixed Linear Models by André I. Khuri on page 255, and Back Matter
- Resampling Methods for Dependent Data (Springer Series in Statistics) by S. N. Lahiri in Back Matter
- Introduction to Variance Estimation (Springer Series in Statistics) by Kirk Wolter in Back Matter
- Model Assisted Survey Sampling (Springer Series in Statistics) by Carl-Erik Särndal in Back Matter
- Inference in Hidden Markov Models (Springer Series in Statistics) by Olivier Cappé in Back Matter
See all 70 books citing this book
Tag this product(What's this?)Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items. |
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
