Journal of the royal statistical society series b-methodological最新文献_第8页

Distributional Expansions for Canonical Correlations from Contingency Tables 列联表中典型相关的分布展开

Journal of the royal statistical society series b-methodological Pub Date : 1978-07-01 DOI: 10.1111/J.2517-6161.1978.TB01043.X

M. O'Neill

引用次数: 26

On the Distribution of Residual Autocorrelations in Box–Jenkins Models Box-Jenkins模型中残差自相关分布的研究

Journal of the royal statistical society series b-methodological Pub Date : 1978-07-01 DOI: 10.1111/J.2517-6161.1978.TB01042.X

A. McLeod

引用次数: 160

An Historical Note on Recursive Residuals 递归残差的历史注释

Journal of the royal statistical society series b-methodological Pub Date : 1978-07-01 DOI: 10.1111/J.2517-6161.1978.TB01051.X

R. Farebrother

引用次数: 16

Collapsibility of Multidimensional Contingency Tables 多维列联表的可折叠性

Journal of the royal statistical society series b-methodological Pub Date : 1978-07-01 DOI: 10.1111/J.2517-6161.1978.TB01046.X

A. Whittemore

引用次数: 160

Exponential Families and Conditioning on Statistics which are not Minimal Sufficient 非最小充分统计量的指数族与条件

Journal of the royal statistical society series b-methodological Pub Date : 1978-07-01 DOI: 10.1111/J.2517-6161.1978.TB01049.X

M. Berman

引用次数: 1

A Large‐Sample Test for Detecting Gaps in Moving Average Models 移动平均模型中检测间隙的大样本检验

Journal of the royal statistical society series b-methodological Pub Date : 1978-07-01 DOI: 10.1111/J.2517-6161.1978.TB01041.X

E. Godolphin

引用次数: 4

Estimation of Linear Functional Relationships: Approximate Distributions and Connections with Simultaneous Equations in Econometrics 线性函数关系的估计:计量经济学中与联立方程的近似分布和联系

Journal of the royal statistical society series b-methodological Pub Date : 1976-09-01 DOI: 10.1111/J.2517-6161.1976.TB01562.X

T. W. Anderson

引用次数: 119

Model Building and the Analysis of Spatial Pattern in Human Geography 人文地理学空间格局的模型构建与分析

Journal of the royal statistical society series b-methodological Pub Date : 1975-07-01 DOI: 10.1111/J.2517-6161.1975.TB01548.X

A. Cliff, J. Ord

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引用次数: 145

Comparison of Probability Distributions 概率分布的比较

Journal of the royal statistical society series b-methodological Pub Date : 1974-09-01 DOI: 10.1111/J.2517-6161.1974.TB00983.X

J. Lindsey

{"title":"Comparison of Probability Distributions","authors":"J. Lindsey","doi":"10.1111/J.2517-6161.1974.TB00983.X","DOIUrl":"https://doi.org/10.1111/J.2517-6161.1974.TB00983.X","url":null,"abstract":"OFTEN, more than one probability distribution is theoretically feasible when considering statistical models for an experiment. The problem of determination of the more plausible distribution using likelihood procedures (see, for example, Sprott and Kalbfleisch, 1969) will be discussed for the simple case where all observations are made under the same response conditions. (Lindsey, 1974, will consider this problem when independent variables are present.) To do this using likelihood inference, a base statistical model must be introduced with which all other distributions under consideration may be compared. The derivation which follows yields the multinomial model as the base model. Several approaches have been suggested in the literature to the problem of determining which of a number of possible models best describes a set of data. Cox (1961, 1962) develops asymptotic Neyman-Pearson likelihood ratio tests and suggests an alternative approach involving a combination, either additive or multiplicative, of the density functions, with estimation of additional parameters. This approach is further developed by Atkinson (1970). When prior probabilities, both for each model and for the parameters within the models, are available, Lindley (1961, p. 456) gives a posterior odds ratio of the two models using Bayes's theorem. When applicable (i.e. when prior probabilities are available), this approach may be used with the methods developed below.","PeriodicalId":17425,"journal":{"name":"Journal of the royal statistical society series b-methodological","volume":"39 1","pages":"38-47"},"PeriodicalIF":0.0,"publicationDate":"1974-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85893473","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: 49

Inference from Complex Samples 复杂样本推断

Journal of the royal statistical society series b-methodological Pub Date : 1974-09-01 DOI: 10.1111/J.2517-6161.1974.TB00981.X

L. Kish, M. Frankel

引用次数: 580