41. |
A Note on Faulkenberry's Method of Obtaining Prediction Intervals |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 193-194
IanR. Dunsmore,
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摘要:
Faulkenberry [4] provides a method of obtaining prediction intervals or β-expectation tolerance intervals based on the idea of conditioning on a complete sufficient statistic. The purpose of this note is to examine Faulkenberry's method and show that his claim for its generality is not altogether justified.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481513
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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42. |
Iterative Nonorthogonal Analysis of Covariance |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 195-199
WilliamJ. Hemmerle,
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摘要:
This paper develops a method for handling a nonorthogonal analysis of covariance in an iterative manner using balanced analysis of variance residual and expectation operators. In essence, it extends previous work of the author for the nonorthogonal AOV problem to the nonorthogonal AOC problem. The iterative AOC method has the property of guaranteed convergence. In addition, under certain (convergent) conditions, successive approximations to the residual sum of squares for the AOC model are shown to be monotonically decreasing. This property is used to minimize iteration in hypothesis testing.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481514
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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43. |
A Modification of theT-Method of Multiple Comparisons for a One-Way Layout with Unequal Variances |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 200-203
Yosef Hochberg,
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摘要:
Tukey'sT-method for simultaneous inference in a one-way layout is extended to situations where heterogeneity of variance prevails. The modified method is based on the distribution of the range of iid Student-tvariates. The new procedure is exemplified and a table of critical values is provided for its implementation. A different procedure based on a Bonferroni upper bound is also discussed.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481515
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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44. |
Powerful Modified-EDF Goodness-of-Fit Tests |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 204-209
J.R. Green,
Y.A. S. Hegazy,
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摘要:
Modified forms of the Kolmogorov-Smirnov, Cramér-von Mises and Anderson-Darling goodness-of-fit tests have been studied for the situation where parameters have to be estimated. Using Monte Carlo power studies, it is shown that some of the new tests effect improvements over other known tests.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481516
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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45. |
Distribution-Free Two-Sample Tests for Scale |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 210-213
MichaelA. Fligner,
TimothyJ. Killeen,
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摘要:
Several linear rank statistics have been proposed in the literature for the two-sample scale problem. We propose a new class of statistics which are distribution free when the populations are identical, but are not linear rank statistics. Our analogs of the Ansari-Bradley, Mood, and Klotz tests are of particular interest. Each has the same Pitman efficiency as its corresponding linear rank statistic, and yet our small-sample power is significantly higher. In addition, our tests are consistent for scale differences with unequal location in the case when the populations are symmetric and the sample sizes are equal.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481517
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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46. |
Testing for Relationships between Time Series |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 214-222
AliceOrcutt Nakamura,
Masao Nakamura,
GuyH. Orcutt,
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摘要:
The usual procedures for testing the significance of sample correlations between pairs of independently normally distributed series are not appropriate for testing sample correlations between pairs of autocorrelated series. We present sampling evidence supporting our hypothesis that the distributions of sample correlations between pairs of unrelated first-order Markov series conditional on the first lag sample autocorrelations of the series correlated are independent of the population first lag autocorrelations of these series. Based on this evidence, a new test of significance for correlations between autocorrelated series is proposed, which, although treating them as first-order Markov series, does not depend on the generally unknown generating properties of the series.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481518
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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47. |
Distribution of Multivariate White Noise Autocorrelations |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 223-226
RatnamV. Chitturi,
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摘要:
Multivariate white noise processes arise in a variety of contexts; for example, as error terms in multivariate regression models, as innovations in multiple time series models, or simply as random samples from multivariate normal distribution. Here we study the asymptotic properties of white noise autocorrelations in detail to determine their use in testing the adequacy of fit.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481519
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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48. |
Series Expansions for Quadratic Forms in Normal Variables |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 227-232
RudyA. Gideon,
John Gurland,
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摘要:
A differential operator is defined and applied to the gamma density function. By formal mathematical manipulation the resulting function can be identified with linear combinations of independent gamma variates and central and noncentral definite quadratic forms in independent normal variates. Laguerre series expansions in which the choice of parameters is of a general nature are given. These Laguerre series and chi-square, power and Edgeworth series are then compared in the effectiveness in evaluating the distribution function of quadratic forms.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481520
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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49. |
On the Multivariate Poisson Normal Distribution |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 233-236
H.S. Steyn,
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摘要:
The factorial moment generating function (FMGF) of the multivariate Poisson normal (or Hermite) distribution is derived as the limiting form of a multinomial process and as the FMGF of a mixture of independent Poisson distributions when the parameters have a multivariate normal distribution. The FMGF is then used as starting point to derive a limiting form, a series expansion, marginal and conditional distributions as well as for estimating the parameters by using jointly the method of moments and least squaresf or correlated variables.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481521
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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50. |
Power Sum Distributions: An Easier Approach Using the Wald Distribution |
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Journal of the American Statistical Association,
Volume 71,
Issue 353,
1976,
Page 237-238
AllanH. Marcus,
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摘要:
Power sum distributions arise in communications noise and highway noise models. Inverse Gaussian or Wald distributions with the same index of dispersion are similar and infinitely divisible, and often closely approximate lognormal distributions, and, thus, are more suitable than lognormals for theoretical studies. The Wald distribution is an exact model for Poisson distributed point sources with Erlang (O) emissions of noise power.
ISSN:0162-1459
DOI:10.1080/01621459.1976.10481522
出版商:Taylor & Francis Group
年代:1976
数据来源: Taylor
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