发布求助
文献互助 智能选刊 最新文献

Journal of the royal statistical society series b-methodological最新文献

筛选
英文 中文
Semiparametric additive regression 半参数加性回归
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01455.X
J. Cuzick
{"title":"Semiparametric additive regression","authors":"J. Cuzick","doi":"10.1111/J.2517-6161.1992.TB01455.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01455.X","url":null,"abstract":"A simple estimator for β is proposed for the model y=x'β+g(1)+error, g smooth but unknown. The approach is to approximate the estimating equation obtained from a semiparametric likelihood and in the simplest case reduces to minimizing the distance between the pseudoresiduals y-x'β and a local linear cross-validated estimate of them. When the errors are independent with finite variance, the bias and variance of the estimate are computed and compared against the least squares estimate with g known","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"54 1","pages":"831-843"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87555753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 91
Practical Use of Higher Order Asymptotics for Multiparameter Exponential Families 多参数指数族高阶渐近的实际应用
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01445.X
D. Pierce, Dawn Peters
{"title":"Practical Use of Higher Order Asymptotics for Multiparameter Exponential Families","authors":"D. Pierce, Dawn Peters","doi":"10.1111/J.2517-6161.1992.TB01445.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01445.X","url":null,"abstract":"Recently developed asymptotics based on saddlepoint methods provide important practical methods for multiparameter exponential families, especially in generalized linear models. The aim here is to clarify and explore these. Attention is restricted to tests and confidence intervals regarding a single parametric function which can be represented as a natural parameter of a full rank exponential family. Excellent approximations to exact conditional inferences are often available, in terms of simple adjustments to the signed square root of the likelihood ratio statistic","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"14 1","pages":"701-725"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73184605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 152
Multivariate Mean Parameter Estimation by Using a Partly Exponential Model 基于部分指数模型的多元均值参数估计
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01453.X
L. Zhao, R. Prentice, S. Self
{"title":"Multivariate Mean Parameter Estimation by Using a Partly Exponential Model","authors":"L. Zhao, R. Prentice, S. Self","doi":"10.1111/J.2517-6161.1992.TB01453.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01453.X","url":null,"abstract":"SUMMARY A class of partly exponential models is proposed for the regression analysis of multivariate response data. The class is parameterized in terms of the response mean and a general shape parameter. It includes the generalized linear error model and exponential dispersion models as special cases. Maximum likelihood equations for mean parameters are shown to be of the same form as certain generalized estimating equations, and maximum likelihood estimates of mean and shape parameters are asymptotically independent. Some results are given on the efficiency of the estimating equation procedure under misspecification of the response covariance matrix.","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"14 1","pages":"805-811"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78261267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 107
Identifying Multiple Outliers in Multivariate Data 识别多变量数据中的多个异常值
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01449.X
A. Hadi
{"title":"Identifying Multiple Outliers in Multivariate Data","authors":"A. Hadi","doi":"10.1111/J.2517-6161.1992.TB01449.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01449.X","url":null,"abstract":"SUMMARY We propose a procedure for the detection of multiple outliers in multivariate data. Let Xbe an n x p data matrix representing n observations onp variates. We first order the n observations, using an appropriately chosen robust measure of outlyingness, then divide the data set into two initial subsets: a 'basic' subset which containsp + 1 'good' observations and a 'nonbasic' subset which contains the remaining n -p - 1 observations. Second, we compute the relative distance from each point in the data set to the centre of the basic subset, relative to the (possibly singular) covariance matrix of the basic subset. Third, we rearrange the n observations in ascending order accordingly, then divide the data set into two subsets: a basic subset which contains the first p +2 observations and a non-basic subset which contains the remaining n -p -2 observations. This process is repeated until an appropriately chosen stopping criterion is met. The final non-basic subset of observations is declared an outlying subset. The procedure proposed is illustrated and compared with existing methods by using several data sets. The procedure is simple, computationally inexpensive, suitable for automation, computable with widely available software packages, effective in dealing with masking and swamping problems and, most importantly, successful in identifying multivariate outliers.","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"45 1","pages":"761-771"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88100585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 816
Confidence sets having the shape of a half-space 具有半空间形状的置信度集
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01456.X
François Perron
{"title":"Confidence sets having the shape of a half-space","authors":"François Perron","doi":"10.1111/J.2517-6161.1992.TB01456.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01456.X","url":null,"abstract":"For the problem of estimating the mean of a p-dimensional normal distribution, p1, confidence regions based on half-spaces bounded by a hyperplane having the vector of observations as normal are proposed. Confidence regions with exact probability of coverage are constructed. Tables are provided","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"25 1","pages":"845-852"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85562644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exact and Approximate Posterior Moments for a Normal Location Parameter 正常位置参数的精确和近似后验矩
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01452.X
L. Pericchi, Adrian F. M. Smith
{"title":"Exact and Approximate Posterior Moments for a Normal Location Parameter","authors":"L. Pericchi, Adrian F. M. Smith","doi":"10.1111/J.2517-6161.1992.TB01452.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01452.X","url":null,"abstract":"The forms of first and second posterior moments for a normal location parameter are identified for a rather general class of prior distributions. Exact and approximate illustrations are given where the prior distribution is double exponential or Student t respectively","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"30 6 1","pages":"793-804"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90793588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 82
A Goodness‐Of‐Fit Test for Time Series with Long Range Dependence 具有长期相关性的时间序列的拟合优度检验
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01448.X
J. Beran
{"title":"A Goodness‐Of‐Fit Test for Time Series with Long Range Dependence","authors":"J. Beran","doi":"10.1111/J.2517-6161.1992.TB01448.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01448.X","url":null,"abstract":"We propose a test statistic for goodness of fit in time series with slowly decaying serial correlations. The asymptotic distribution of the test statistic, originally proposed by Milhoj for time series with smooth spectra, turns out to be the same, under the null hypothesis, even if the spectrum has a pole at 0. In particular, the test is suitable to detect lack of independence in the observations, or estimated residuals, if the first few correlations are small but the decay of the correlations is slow","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"14 1","pages":"749-760"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80166047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 89
A New Method of Prediction for Spatial Regression Models with Correlated Errors 具有相关误差的空间回归模型预测新方法
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01454.X
A. V. Vecchia
{"title":"A New Method of Prediction for Spatial Regression Models with Correlated Errors","authors":"A. V. Vecchia","doi":"10.1111/J.2517-6161.1992.TB01454.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01454.X","url":null,"abstract":"SUMMARY This paper deals with minimum mean-squared error, unbiased linear interpolation of a continuous domain spatial process based on a sparse set of irregularly spaced observations. The process is assumed to be governed by a linear regression model with errors that follow a second-order stationary Gaussian random field. A new method of prediction is developed that is compatible with the parameter estimation procedures of Vecchia. The result is a new likelihood-based method for joint parameter estimation and prediction that can be applied to large or small data sets with irregularly spaced data. Simulated and observed data sets are analysed to illustrate the methods.","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"20 1","pages":"813-830"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82582834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 25
Testing exponentiality based on Kullback-Leibler information 基于Kullback-Leibler信息的指数性检验
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01447.X
N. Ebrahimi, M. Habibullah, E. Soofi
{"title":"Testing exponentiality based on Kullback-Leibler information","authors":"N. Ebrahimi, M. Habibullah, E. Soofi","doi":"10.1111/J.2517-6161.1992.TB01447.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01447.X","url":null,"abstract":"In this paper a test of fit for exponentiality based on the estimated Kullback-Leibler information is proposed. The procedure is applicable when the exponential parameter is or is not specified under the null hypothesis. The test uses the Vasicek entropy estimate, so to compute it a window size m must first be fixed. A procedure for choosing m for various sample sizes is proposed and corresponding critical values are computed by Monte Carlo simulations","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"148 1","pages":"739-748"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79614295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 183
Diagnostics in categorical data analysis 分类数据分析中的诊断
Journal of the royal statistical society series b-methodological Pub Date : 1992-07-01 DOI: 10.1111/J.2517-6161.1992.TB01451.X
E. Andersen
{"title":"Diagnostics in categorical data analysis","authors":"E. Andersen","doi":"10.1111/J.2517-6161.1992.TB01451.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1992.TB01451.X","url":null,"abstract":"Diagnostics as measures of model deviations and of the influence of particular data sets are used extensively in modern regression analysis. For contingency tables, and more generally for the parametric multinomial distribution, it is not the influence of individual observations which is of interest, but rather the contribution to a lack of model fit or to the values of the parameter estimates from a single cell in the table, which must be evaluated. Hence diagnostics for contingency tables take somewhat different forms","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"104 1","pages":"781-791"},"PeriodicalIF":0.0,"publicationDate":"1992-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88101167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 37
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信