{"title":"Modern Applied Statistics with S,","authors":"Freda Kemp","doi":"10.1046/j.1467-9884.2003.t01-19-00383_22.x","DOIUrl":"https://doi.org/10.1046/j.1467-9884.2003.t01-19-00383_22.x","url":null,"abstract":"","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"704-705"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1467-9884.2003.t01-19-00383_22.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72306505","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}
{"title":"Geostatistical Simulation","authors":"Anders Brix","doi":"10.1046/j.1467-9884.2003.t01-13-00383_15.x","DOIUrl":"https://doi.org/10.1046/j.1467-9884.2003.t01-13-00383_15.x","url":null,"abstract":"","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"699-700"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1467-9884.2003.t01-13-00383_15.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72321677","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}
{"title":"Bayesian updating for binary variables: an application in the UK water industry","authors":"Michail Papathomas, Roger J. Hocking","doi":"10.1046/j.0039-0526.2003.00451.x","DOIUrl":"https://doi.org/10.1046/j.0039-0526.2003.00451.x","url":null,"abstract":"<p><b>Summary. </b> In accordance with the regulation of the privatized English and Welsh water industry, water companies are required to submit an asset management plan every few years. A requirement of South West Water's asset management planning is to state the probability that some of its assets will need refurbishment or replacement within the following 5 years. Probability assessments are elicited for the company's assets based on information of varying quality. For the formulation and updating of beliefs we propose and employ the threshold model, a Bayesian updating procedure. The model's main aspect is Jeffrey's conditionalization. This is an updating rule based on a simple conditional independence assumption. According to this rule, it is not necessary to construct a fully specified joint density for the quantities of interest and the probability assessments.</p>","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"483-499"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.0039-0526.2003.00451.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72321681","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}
{"title":"When is one experiment ‘always better than’ another?","authors":"Prem K. Goel, Josep Ginebra","doi":"10.1046/j.1467-9884.2003.00376.x","DOIUrl":"https://doi.org/10.1046/j.1467-9884.2003.00376.x","url":null,"abstract":"<p><b>Summary. </b> Considering the choice between two experiments <i>E</i> and <i>F</i>, an experimenter may choose one or the other depending on the optimality criteria. However, sometimes by using the observations from <i>E</i>, he or she can do at least as well as by using the observations from <i>F</i> for every decision problem, and therefore for every inference problem as well. When that happens, it is said that experiment <i>E</i> is ‘always better than’<i>F</i> or equivalently that <i>E</i> is ‘sufficient for’<i>F</i>. The paper provides a simple explanation of what is meant by this phrase and presents a variety of situations in which one experiment <i>E</i> is known to be always better than an alternative <i>F</i>. In addition, simplifying connections between various results are also revealed. Even though these issues are important to the design of statistical experiments and to the concept of statistical information, the literature reviewed here has largely failed in communicating its results across to many researchers in these areas. One of the objectives is to fill that gap, by stressing the implications of the results, while omitting most of the technicalities that are required in their proofs.</p>","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"515-537"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1467-9884.2003.00376.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72321682","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}
{"title":"Testing for Normality","authors":"G. Janacek","doi":"10.1046/j.1467-9884.2003.t01-17-00383_20.x","DOIUrl":"https://doi.org/10.1046/j.1467-9884.2003.t01-17-00383_20.x","url":null,"abstract":"","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"703"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1467-9884.2003.t01-17-00383_20.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72321691","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}
{"title":"The folded exponential transformation for proportions","authors":"Hans-Peter Piepho","doi":"10.1046/j.0039-0526.2003.00509.x","DOIUrl":"https://doi.org/10.1046/j.0039-0526.2003.00509.x","url":null,"abstract":"<p><b>Summary. </b> Several transformations have been suggested for proportions <i>x</i>. Most of these require that 0<<i>x</i><1 and therefore fail when <i>x</i>=0 or <i>x</i>=1, which is quite common in practice. The paper proposes a transformation which allows <i>x</i>=0 and <i>x</i>=1. It is based on an extension of the exponential transformation and works well for moderately skewed unimodal distributions, whereas J-shaped or very skewed unimodel distributions are less well accommodated. Use of the transformation is exemplified with three data sets.</p>","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"575-589"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.0039-0526.2003.00509.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72322109","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}
{"title":"An evaluation of characteristics of teams in association football by using a Markov process model","authors":"Nobuyoshi Hirotsu, Mike Wright","doi":"10.1046/j.0039-0526.2003.00437.x","DOIUrl":"https://doi.org/10.1046/j.0039-0526.2003.00437.x","url":null,"abstract":"<p><b>Summary. </b> The paper proposes a statistical model of a football match that is useful in providing insights into the characteristics of teams. We evaluate the characteristics by means of maximum likelihood estimators for factors such as home advantage, offensive and defensive strength and their interactions, by taking account of not only goals but also possession of the ball. We build the model on the basis of the real data from the 1999–2000 season of the English Premier League and illustrate the characteristics of the teams in ways that allow us to visualize offensive and defensive strength, preference for playing at home and relative success against particular opposition teams.</p>","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"591-602"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.0039-0526.2003.00437.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72321683","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}
{"title":"An Introduction to Generalized Linear Models,","authors":"Freda Kemp","doi":"10.1046/j.1467-9884.2003.t01-5-00383_7.x","DOIUrl":"https://doi.org/10.1046/j.1467-9884.2003.t01-5-00383_7.x","url":null,"abstract":"","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"694"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1467-9884.2003.t01-5-00383_7.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72322212","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}
{"title":"Non-linear Time Series Models in Empirical Finance","authors":"G. Janacek","doi":"10.1046/j.1467-9884.2003.t01-9-00383_11.x","DOIUrl":"https://doi.org/10.1046/j.1467-9884.2003.t01-9-00383_11.x","url":null,"abstract":"","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 4","pages":"696"},"PeriodicalIF":0.0,"publicationDate":"2003-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1467-9884.2003.t01-9-00383_11.x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72322214","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}
{"title":"Discrete-event Simulation: Modeling, Programming, and Analysis","authors":"David Kemp","doi":"10.1111/1467-9884.00369_9","DOIUrl":"https://doi.org/10.1111/1467-9884.00369_9","url":null,"abstract":"","PeriodicalId":100846,"journal":{"name":"Journal of the Royal Statistical Society: Series D (The Statistician)","volume":"52 3","pages":"408-409"},"PeriodicalIF":0.0,"publicationDate":"2003-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/1467-9884.00369_9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72315080","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}