A multiple-testing approach to the multivariate Behrens-Fisher problem : with simulations and examples in SAS® / Tejas Desai.
In statistics, the Behrens-Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equal, based on two independent samples. In his 1...
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| Format: | Ebook |
| Language: | English |
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New York :
Springer,
[2013]
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| Series: | SpringerBriefs in statistics.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | In statistics, the Behrens-Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equal, based on two independent samples. In his 1935 paper, Fisher outlined an approach to the Behrens-Fisher problem. Since high-speed computers were not available in Fisher's time, this approach was not implementable and was soon forgotten. Fortunately, now that high-speed computers are available, this approach can easily be implemented using just a desktop or a laptop computer. |
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| Physical Description: | 1 online resource (v, 55 pages). |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 1299408605 1461464439 9781299408609 9781461464433 |