1. |
Beer chemistry and canadians' beer preferences |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 94-98
G. A. Whitmore,
Jane F. Gentleman,
Preview
|
PDF (330KB)
|
|
摘要:
AbstractBeer companies want to understand the relationship between the chemical characteristics of beer and the preferences for beer exhibited by consumers. Two data sets were provided to the analysts in this case study. The first set consisted of chemical measurements on 91 beers and preference measurements on the same beers collected from beer consumers in blind taste tests. The analysts were asked to use these data to develop a statistical model relating beer chemistry and consumer preferences for beer. The second data set consisted of chemical measurements on a holdout sample of 37 beers. The analysts were asked to employ their statistical model to predict consumer preferences for the beers in the holdout sample. The case study assesses the success of their modelling efforts.
ISSN:0319-5724
DOI:10.2307/3315557
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
2. |
Analyse des préférences des Canadiens en matière de bière |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 99-108
Jean‐Pierre Carmichael,
Gaéatan Daigle Et,
Louis‐Paul Rivest,
Preview
|
PDF (580KB)
|
|
ISSN:0319-5724
DOI:10.2307/3315558
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
3. |
A regression model with random effects for beer chemistry and Canadians' beer preferences |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 108-121
Bing Li,
A. John Petkau,
Preview
|
PDF (885KB)
|
|
ISSN:0319-5724
DOI:10.2307/3315559
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
4. |
Section Editors' Comments |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 121-125
G. A. Whitmore,
Preview
|
PDF (282KB)
|
|
ISSN:0319-5724
DOI:10.2307/3315560
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
5. |
Assessing case influence on confidence intervals in nonlinear regression |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 127-139
Krzysztof Dzieciolowski,
William H. Ross,
Preview
|
PDF (780KB)
|
|
摘要:
AbstractDiagnostic techniques are proposed for assessing the influence of individual cases on confidence intervals in nonlinear regression. The technique proposed uses the method of profilet‐plots applied to the case‐deletion model. The effect of the geometry of the statistical model on the influence measures is assessed, and an algorithm for computing case‐deleted confidence intervals is described. This algorithm provides a direct method for constructing a simple diagnostic measure based on the ratio of the lengths of confidence intervals. The generalization of these methods to multiresponse models is disc
ISSN:0319-5724
DOI:10.2307/3315561
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
6. |
Weak and strong representations for quantile processes from finite populations with application to simulation size in resampling inference |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 141-148
Xiquan Shi,
C. F. J. Wu,
Jiahua Chen,
Preview
|
PDF (425KB)
|
|
摘要:
AbstractWe prove three results on the weak or strong representations for quantile processes of samples drawn randomly with or without replacement from a finite population. As an application of the strong‐approximation result (Theorem 2), we give an approach for determining the order ofB, the number of Monte Carlo simulations required for the accuracy of resampling inference. In typical situations the order ofBis betweennbnandn2+δ, wherenis the original sample size, δ>0, and (log logn)/bn
ISSN:0319-5724
DOI:10.2307/3315562
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
7. |
On using the jackknife to estimate quantile variance |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 149-153
Michael A. Martin,
Preview
|
PDF (312KB)
|
|
摘要:
AbstractWe show that the jackknife technique fails badly when applied to the problem of estimating the variance of a sample quantile. When viewed as a point estimator, the jackknife estimator is known to be inconsistent. We show that the ratio of the jackknife variance estimate to the true variance has an asymptotic Weibull distribution with parameters 1 and 1/2. We also show that if the jackknife variance estimate is used to Studentize the sample quantile, the asymptotic distribution of the resulting Studentized statistic is markedly nonnormal, having infinite mean. This result is in stark contrast with that obtained in simpler problems, such as that of constructing confidence intervals for a mean, where the jackknife‐Studentized statistic has an asymptotic standard normal distributio
ISSN:0319-5724
DOI:10.2307/3315563
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
8. |
An efficiency result for the empirical characteristic function in stationary time‐series models |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 155-161
Andrey Feuerverger,
Preview
|
PDF (397KB)
|
|
摘要:
AbstractIt is shown under general conditions that arbitrarily high asymptotic efficiencies can be obtained when the parameters of a stationary time series are estimated by fitting the characteristic functions of the process to their empirical versions. A consistency and a central limit result are also given.
ISSN:0319-5724
DOI:10.2307/3315564
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
9. |
Estimating the concentration of the Langevin distribution |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 163-169
Gilles R. Ducharme,
Philip Milasevic,
Preview
|
PDF (362KB)
|
|
摘要:
AbstractWe propose an estimator of the concentration parameter of the Langevin distribution that is based on the spatial median. We derive its asymptotic distribution, compute its asymptotic efficiency, and show that it possesses some interesting stability properties under contamination.
ISSN:0319-5724
DOI:10.2307/3315565
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|
10. |
Estimation of scale parameters in mixture distributions |
|
Canadian Journal of Statistics,
Volume 18,
Issue 2,
1990,
Page 171-178
Dipak K. Dey,
Preview
|
PDF (395KB)
|
|
摘要:
AbstractSimultaneous estimation of scale parameters is considered in mixture distributions under squared‐error loss. A general class of estimators is obtained which dominates the componentwise best multiple estimators and the moment estimators. As special cases, improved estimators are obtained for the multivariatet‐distribution and thep‐variate Lomax distrib
ISSN:0319-5724
DOI:10.2307/3315566
出版商:Wiley‐Blackwell
年代:1990
数据来源: WILEY
|