1. |
Editor's Report |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 1-1
Kinley Larntz,
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ISSN:0003-1305
DOI:10.1080/00031305.1994.10476009
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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2. |
Karl Pearson and R. A. Fisher on Statistical Tests: A 1935 Exchange fromNature |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 2-11
HenryF. Inman,
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摘要:
In 1935, a letter toNaturecriticizing the logic of statistical tests provoked published responses from Karl Pearson and R. A. Fisher. Their letters illustrate the attitudes of the two men toward the hypothesis-testing problem soon after the Neyman-Pearson formulation and shortly before Karl Pearson's death.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476010
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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3. |
Improving Data Quality Awareness in the United States Federal Statistical Agencies |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 12-17
MaríaElena González,
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PDF (633KB)
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摘要:
Interest in improving awareness of the quality of federal statistics led to the formation of the Federal Committee on Statistical Methodology by the U.S. Office of Management and Budget. The committee selected and studied topics with a methodological impact on the quality of federal statistics. The reports of these groups were published as statistical policy working papers and have been discussed by federal statisticians, economists, managers, and private-sector persons interested in the quality of federal statistics. Most of the work of the committee has focused on surveys sponsored by federal agencies and is analyzed in terms of components of total survey error.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476011
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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4. |
To Survive or to Fail: That is the Question |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 18-21
PatriciaS. Abel,
NozerD. Singpurwalla,
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PDF (371KB)
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摘要:
A question that naturally arises in life testing is the following: “During the conduct of the test, what would you rather observe, a failure or a survival?” Most people answer this question by saying failure, because intuitively, failures are presumed to provide more information about the parameters of a failure model than survivals. The aim of this article is to point out that such intuition could be misleading and that the answer depends on the particular parameterization that is chosen. The argument is made through the use of Shannon's measure of information in an experiment, with the exponential as an example.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476012
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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5. |
The Home-Court Advantage: How Large is it, and Does it Vary from Team to Team? |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 22-28
DavidA. Harville,
MichaelH. Smith,
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PDF (726KB)
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摘要:
College basketball fans often speculate on the extent and nature of the home-court advantage. In this article, it is shown how questions about the size of the home-court advantage and about team-to-team differences in the home-court advantage can be addressed by fitting three different linear models to the outcomes of college basketball games. This approach was applied to data from the 1991–1992 college basketball season. The advantage of playing at home (in relation to playing on a neutral court) was estimated to be 4.68 ± 0.28 points. The effect of team-to-team differences in the home-court advantage was found to be relatively small.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476013
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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6. |
Maximum Likelihood Estimators of Binomial Parameters under an Order Restriction |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 29-30
KhoanT. Dinh,
TrucT. Nguyen,
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摘要:
An elementary method for finding a restricted maximum likelihood estimator of a sequence ofk+ 1 binomial parametersp1,p2, …,pk,qis presented. The order restriction,Pi≥q(i= 1, …,k), arises in comparingktreatment groups with a control group. An algorithm to find these estimators is also given.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476014
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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7. |
A Simple Statistical Project: Image Reconstruction |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 30-34
PhilipL. H. Yu,
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PDF (783KB)
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摘要:
For most mathematical statistics courses, teaching examples such as ball drawing, coin tossing, defective item selection, and so forth are somewhat boring for the students. Projects are few. In this article, an interesting real-life project, image reconstruction, is introduced. It can be presented as an application of Bayesian statistics.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476015
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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8. |
Combining Unbiased Estimators |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 34-36
Ester Samuel-Cahn,
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PDF (348KB)
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摘要:
This article illuminates some aspects of unbiased estimation. It addresses optimal combination of two dependent unbiased estimators whose variances and correlations are known. When applied to the problem of estimating a location parameter for the uniform distribution, it was found that the optimal mix between mean and median is (3/2)(mean) — (1/2)(median). In cases in which uniformly minimum variance unbiased (UMVU) estimators exist, the approach can be used to give simple expressions for the correlation between the UMVU estimator and any other unbiased estimator. This correlation is always positive. The theory and examples given are well suited for classroom use at the senior undergraduate or beginning graduate level.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476016
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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9. |
A Drunk and Her Dog: An Illustration of Cointegration and Error Correction |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 37-39
MichaelP. Murray,
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PDF (303KB)
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摘要:
If there exists a stationary linear combination of nonstationary random variables, the variables combined are said to becointegrated.A humorous example of a drunk and her dog illustrates cointegration much as “the drunkard's walk” illustrates random-walk processes. The example makes clear why using first differences of the variables is a mistaken way to look for linear relationships between potentially cointegrated variables. The example also makes clear the link between cointegrated variables and error-correction models.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476017
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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10. |
Bootstrap on a Shoestring: Resampling Using Spreadsheets |
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The American Statistician,
Volume 48,
Issue 1,
1994,
Page 40-42
ThomasR. Willemain,
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PDF (239KB)
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摘要:
It is possible to implement the bootstrap in a simple spreadsheet. This spreadsheet makes the bootstrap more accessible to teachers and students.
ISSN:0003-1305
DOI:10.1080/00031305.1994.10476018
出版商:Taylor & Francis Group
年代:1994
数据来源: Taylor
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