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31. |
Efficiency-Robust Systematic Linear Estimators of Location |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 594-601
Valerie Miké,
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摘要:
Several classes of efficiency-robust linear unbiased estimators of location based on k sample quantiles are defined. The efficiencies of these estimators under the normal, logistic, and double exponential distributions are computed for sample sizes n = 20, 30, 40, 50, 100, ∞, and subsamples of size k = 2, 6, 10, 20. These results are then discussed in relation to other research in efficiency-robust estimation.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482313
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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32. |
Expectations and Variances of Maximum Likelihood Estimates of the Multivariate Normal Distribution Parameters with Missing Data |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 602-604
DonaldF. Morrison,
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摘要:
Exact expectations and variances have been obtained for the maximum likelihood estimates of the elements of the mean vector and covariance matrix of the multivariate normal distribution when a subset of the variates does not have observations on some sampling units. The biases, variances, and mean square errors of the estimates are compared with those of the usual estimates computed from the complete observation vectors. When the correlations between the complete and incomplete sets of variates are small the multivariate missing value estimates are less efficient in the mean square error sense.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482314
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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33. |
Probabilities of the Type I Errors of the Welch Tests for the Behrens-Fisher Problem |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 605-608
YingY. Wang,
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摘要:
The probabilities of the Type I errors of the Welch approximate-t test and the Aspin-Welch test for the Behrens-Fisher problem have been calculated for selected sets of degrees of freedom and nominal significance levels. The results show satisfactory agreement to the desired level. Thus, in practice, one can just use the usual t-table to carry out the Welch approximate t-test without much loss of accuracy.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482315
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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34. |
Hypothesis Testing and Confidence Intervals for Products and Quotients of Poisson Parameters with Applications to Reliability |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 609-613
Bernard Harris,
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摘要:
X1X2, ···, Xk1, Y1, Y2, ···, Yk2are k1+ k2mutually independent Poisson random variables with parameters λ1, λ2, ···, λk1, μ1, μ2, ···, μk2, respectively. Confidence intervals and tests of hypotheses for the parameter θ = λ1λ2··· λk1/ μ1μ2··· μk2are obtained. Under suitable conditions these procedures may be used to obtain approximate confidence intervals and tests of hypotheses of the parameter ρ = ρ1ρ2··· ρk1/ρk1+1ρk1+2··· ρk1+k2, where the ρi's, i = 1, 2, ···, k1+ k2are binomial parameters. This problem is of importance in reliability analysis and some applications to reliability analysis are exhibited.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482316
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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35. |
Sequential Estimation in the Uniform Density |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 614-617
PeterJ. Cooke,
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摘要:
The main problem to be solved here may be described as follows: Let X1, X2, ··· be independent random variables, each with density fθ(x) = 1/θ over (0, θ) and zero elsewhere. It is desired to estimate the unknown parameter θ by an interval of length at most d units and with confidence at least 1 −α, for some specified d>0 and α in (0, 1). An exact solution and an asymptotic theory for a sequential procedure are given in Sections 1 and 2, respectively. The procedure proposed in this article satisfies an admissibility criterion which may be stated in terms of the maximum possible number of observations or, alternatively, the expected number of observations.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482317
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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36. |
On the Selection of Multi-Factor Experimental Arrangements with Resource Constraints |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 618-621
JohnB. Neuhardt,
HughE. Bradley,
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摘要:
The selection of experimental arrangements with resource constraints is structured as a mathematical optimization problem: maximize experimental efficiency subject to resource constraints, maintaining an integer number of observations in each cell. Three previously published measures of efficiency are examined. It is shown that the resulting integer programs can be solved using a variation on the Lawler-Bell algorithm. Eleven examples with up to 82 binary variables are solved. These examples illustrate that the measures of efficiency are inconsistent. One, due to Wald, is recommended as superior on numerical grounds.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482318
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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37. |
Cluster Analysis and Mathematical Programming |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 622-626
M.R. Rao,
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摘要:
Cluster analysis involves the problem of optimal partitioning of a given set of entities into a pre-assigned number of mutually exclusive and exhaustive clusters. Here the problem is formulated in two different ways with the distance function (a) of minimizing the within groups sums of squares and (b) minimizing the maximum distance within groups. These lead to different kinds of linear and non-linear (0–1) integer programming problems. Computational difficulties are discussed and efficient algorithms are provided for some special cases.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482319
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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38. |
Optimization of the Unrelated Question Randomized Response Model |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 627-629
J.J. A. Moors,
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摘要:
In their article [1] B. G. Greenberg, et al. discussed Simmons' modification of Warner's Randomized Response Technique and advised on the choice of the parameters in the model. One of their recommendations, however, is far from being the most efficient. The correctness of their other recommendations is proved and it is shown that the optimized method is superior to Warner's Technique.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482320
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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39. |
The Asymptotic Distribution of Conditional Likelihood Ratio Tests |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 630-633
ErlingB. Andersen,
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摘要:
A conditional likelihood ratio test for testing a hypothesis concerning structural parameters in the presence of infinitely many incidental parameters is suggested. It is shown that the usual X2approximation to the log-likelihood ratio fails to work in many situations involving incidental parameters. In contrast it is shown that the X2approximation can be used in large samples under fairly general assumptions if we use conditional likelihood ratio tests instead. The relationship between the theory of UMPU-test and conditional likelihood ratio tests is discussed, and some examples are given to show that the conditional likelihood ratio approach covers more cases than the UMPU approach.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482321
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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40. |
Estimation Procedures for Difference of Means with Missing Data |
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Journal of the American Statistical Association,
Volume 66,
Issue 335,
1971,
Page 634-636
Pi-Erh Lin,
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摘要:
The maximum likelihood estimate of the difference of the means is obtained in sampling from a bivariate normal distribution with unknown variances and co-variance when some of the observations on one of the variables are missing. This estimate is compared to several others by using the mean square error criterion. It is found that, when there are a moderate number of complete pairs of observations, the maximum likelihood estimate has the smallest mean square error for most of the parameter values. Illustrative tables are given to support our conclusions.
ISSN:0162-1459
DOI:10.1080/01621459.1971.10482322
出版商:Taylor & Francis Group
年代:1971
数据来源: Taylor
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