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11. |
Comparing Estimators for Population Variance Using Pitman Nearness |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page 214-217
Ravindra Khattree,
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摘要:
As a classroom example, some researchers considered the problem of estimation of the variance of a normal population with known mean. They showed that the maximum likelihood estimator under the unknown mean assumption has smaller mean squared error than that under the known mean assumption, thereby implying that one would be “better off” by ignoring the information provided by the known mean. This same problem is reconsidered under the Pitman nearness criterion.
ISSN:0003-1305
DOI:10.1080/00031305.1992.10475888
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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12. |
Interpretation of Canonical Discriminant Functions, Canonical Variates, and Principal Components |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page 217-225
AlvinC. Rencher,
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摘要:
Canonical discriminant functions are defined here as linear combinations that separate groups of observations, and canonical variates are defined as linear combinations associated with canonical correlations between two sets of variables. In standardized form, the coefficients in either type of canonical function provide information about the joint contribution of the variables to the canonical function. The standardized coefficients can be converted to correlations between the variables and the canonical function. These correlations generally alter the interpretation of the canonical functions. For canonical discriminant functions, the standardized coefficients are compared with the correlations, with partialtandFtests, and with rotated coefficients. For canonical variates, the discussion includes standardized coefficients, correlations between variables and the function, rotation, and redundancy analysis. Various approaches to interpretation of principal components are compared: the choice between the covariance and correlation matrices, the conversion of coefficients to correlations, the rotation of the coefficients, and the effect of special patterns in the covariance and correlation matrices.
ISSN:0003-1305
DOI:10.1080/00031305.1992.10475889
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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13. |
Accent on Teaching Materials |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page 226-227
HarryO. Posten,
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摘要:
Review ofMaking Numbers WorkandThe Writing ProgrammeTwo videotapes available in the United States from Video Learning Group, 230 Western Avenue, Boston, MA 02134, 1-800-225-3959/617-783-3400, FAX 617-783-0580, $795 each, video time: 25 minutes and 20 minutes. Reviwed By: David M. Levine
ISSN:0003-1305
DOI:10.1080/00031305.1992.10475890
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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14. |
Sample Size Requirements for the Back-of-the-Envelope Binomial Confidence Interval |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page 228-231
MyraL. Samuels,
Tai-FangC. Lu,
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摘要:
The simplest approximate confidence interval for the binomial parameterp, based onxsuccesses inntrials, is
ISSN:0003-1305
DOI:10.1080/00031305.1992.10475891
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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15. |
Teaching Survey Sampling Using Simulation |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page 232-237
TedC. Chang,
SharonL. Lohr,
C.Graham McLaren,
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摘要:
SURVEY is a computer program that simulates samples drawn from a hypothetical county. We use SURVEY in introductory and advanced sample survey classes to allow students to become involved in all stages of the sampling process, from designing the survey, to analyzing it, to dealing with nonresponse.
ISSN:0003-1305
DOI:10.1080/00031305.1992.10475892
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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16. |
Editor's Notes |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page 237-238
Richard Goldstein,
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ISSN:0003-1305
DOI:10.1080/00031305.1992.10475893
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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17. |
Letters to the Editor |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page 239-243
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摘要:
Letters to the editor will be confined to discussions of papers that have appeared inThe American Statisticianand to important issues facing the statistical community. Letters discussing papers inThe American Statisticianmust be received within two months of publication of the paper; the author of the paper will then be given an opportunity to reply, and the letters and reply will be published together. All letters to the editor will be refereed. Corrections of errors that have been noted in papers published in The American Statistician will be listed as corrections at the end of this section.
ISSN:0003-1305
DOI:10.1080/00031305.1992.10475894
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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18. |
Correction |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page 243-243
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PDF (134KB)
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ISSN:0003-1305
DOI:10.1080/00031305.1992.10475895
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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19. |
Editorial Board Page |
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The American Statistician,
Volume 46,
Issue 3,
1992,
Page -
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PDF (97KB)
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摘要:
This article has no abstract
ISSN:0003-1305
DOI:10.1080/00031305.1992.10475877
出版商:Taylor & Francis Group
年代:1992
数据来源: Taylor
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