{"title":"R. A. Fisher—twice Professor of Genetics: London and Cambridge, or‘A fairly well‐known geneticist’","authors":"A. Edwards","doi":"10.1111/1467-9884.00361","DOIUrl":"https://doi.org/10.1111/1467-9884.00361","url":null,"abstract":"Summary. Fisher held in succession the two senior chairs of genetics in Great Britain, the Galton Professorship at University College London (1933–1943) and the Arthur Balfour Professorship at Cambridge (1943–1957), yet his fame as a statistician is such that his contributions to genetics and evolutionary biology are not well known in statistical circles. In the paper his genetical work, and that of his colleagues, is summarized, and his influence in evolutionary biology, especially through The Genetical Theory of Natural Selection (1930), is sketched.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"12 1","pages":"311-318"},"PeriodicalIF":0.0,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77742553","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":"Simple characterizations of Student's t2-distribution","authors":"V. Nevzorov, N. Balakrishnan, M. Ahsanullah","doi":"10.1111/1467-9884.00367","DOIUrl":"https://doi.org/10.1111/1467-9884.00367","url":null,"abstract":"Some simple properties of the regression function φ(x) = E(X‖M n = x), where X and M n are the sample mean and median respectively, are shown to characterize Student's t 2 -distribution.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"517 1","pages":"395-400"},"PeriodicalIF":0.0,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77147151","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":"R. A. Fisher the statistician","authors":"M. Healy","doi":"10.1111/1467-9884.00360","DOIUrl":"https://doi.org/10.1111/1467-9884.00360","url":null,"abstract":"Summary. The paper discusses the contribution of R. A. Fisher to the theory and practice of statistics and tries to place these in their historical context.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"18 1","pages":"303-310"},"PeriodicalIF":0.0,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89465681","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":"Fisher the evolutionary biologist","authors":"A. Grafen","doi":"10.1111/1467-9884.00362","DOIUrl":"https://doi.org/10.1111/1467-9884.00362","url":null,"abstract":"Summary. Fisher’s pioneering work in linking Darwinism and Mendelism is now built into biology, but the result that he viewed as holding the ‘supreme position in biology’, the fundamental theorem of natural selection, has a more chequered history. Recent work has shown the theorem to be true, despite many earlier refutations, but its interpretation has been in doubt. I defend Fisher’s own evaluation of its significance and argue that it shows that non-random gene frequency changes are always adaptive, and that adaptation arises only through gene frequency changes: this is Fisher’s ‘genetical theory of natural selection’.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"15 1","pages":"319-329"},"PeriodicalIF":0.0,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90229035","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":"Quantile regression: applications and current research areas","authors":"Keming Yu, Zudi Lu, J. Stander","doi":"10.1111/1467-9884.00363","DOIUrl":"https://doi.org/10.1111/1467-9884.00363","url":null,"abstract":"Summary. Quantile regression offers a more complete statistical model than mean regression and now has widespread applications. Consequently, we provide a review of this technique. We begin with an introduction to and motivation for quantile regression. We then discuss some typical application areas. Next we outline various approaches to estimation. We finish by briefly summarizing some recent research areas.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"49 1","pages":"331-350"},"PeriodicalIF":0.0,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85803083","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":"Nonsensical and biased correlation due to pooling heterogeneous samples","authors":"U. Hassler, Thorsten Thadewald","doi":"10.1111/1467-9884.00365","DOIUrl":"https://doi.org/10.1111/1467-9884.00365","url":null,"abstract":"Summary. The case of two variables is considered, where the sample consists of two heterogeneous groups. The behaviour of the pooled sample correlation coefficient is studied. The heterogeneity of the two groups may be interpreted as a hidden qualitative variable. It is shown that, even if the correlation is the same within both groups, the pooled correlation coefficient may be severely biased owing to heterogeneity of other group-specific parameters. In the case of uncorrelatedness, nonsensical correlation may arise from pooled estimation. These and further results are obtained and can be quantified or forecast from an asymptotic formula for the pooled sample correlation coefficient, which is well reproduced in finite sample computer experiments and illustrated with empirical examples.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"68 1","pages":"367-379"},"PeriodicalIF":0.0,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85453519","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":"A nonparametric multivariate cumulative sum procedure for detecting shifts in all directions","authors":"P. Qiu, D. Hawkins","doi":"10.1111/1467-9884.00348","DOIUrl":"https://doi.org/10.1111/1467-9884.00348","url":null,"abstract":"Summary. The fairly limited range of tools for multivariate statistical process control generally rests on the assumption that the data vectors follow a multivariate normal distribution-an assumption that is rarely satisfied. We discuss detecting possible shifts in the mean vector of a multivariate measurement of a statistical process when the multivariate distribution of the measurement is non-Gaussian. A nonparametric cumulative sum procedure is suggested which is based both on the order information among the measurement components and on the order information between the measurement components and their in-control means. It is shown that this procedure is effective in detecting a wide range of possible shifts. Several numerical examples are presented to evaluate its performance. This procedure is also applied to a data set from an aluminium smelter.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"5 1","pages":"151-164"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73206491","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}
G. J. Mellenbergh, H. Adèr, D. Baird, M. Berger, J. Cornell, J. Hagenaars, P. Molenaar
{"title":"Conceptual issues of research methodology for the behavioural, life and social sciences","authors":"G. J. Mellenbergh, H. Adèr, D. Baird, M. Berger, J. Cornell, J. Hagenaars, P. Molenaar","doi":"10.1111/1467-9884.00352","DOIUrl":"https://doi.org/10.1111/1467-9884.00352","url":null,"abstract":"Summary. Research methodology (RM) must be clearly separated from substantive fields, such as medicine, psychology, education, sociology and economics, and, on the other side, from the philosophy of science and statistics. RM starts from substantive research problems and uses statistical knowledge, but it goes its own way in developing and applying new methods and concepts, all of which are relevant to RM consultants. Examples of topics are given that are typical for RM research and consultancy. Finally, it is argued that RM needs its own research programme and curriculum for RM consultants.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"36 1","pages":"211-218"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77787219","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":"A note on model uncertainty in linear regression","authors":"C. Candolo, A. Davison, C. Demétrio","doi":"10.1111/1467-9884.00349","DOIUrl":"https://doi.org/10.1111/1467-9884.00349","url":null,"abstract":"Summary. We consider model selection uncertainty in linear regression. We study theoretically and by simulation the approach of Buckland and co-workers, who proposed estimating a parameter common to all models under study by taking a weighted average over the models, using weights obtained from information criteria or the bootstrap. This approach is compared with the usual approach in which the 'best' model is used, and with Bayesian model averaging. The weighted predictor behaves similarly to model averaging, with generally more realistic mean-squared errors than the usual model-selection-based estimator.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"18 1","pages":"165-177"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74494938","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":"Adjusting receiver operating characteristic curves and related indices for covariates","authors":"D. Faraggi","doi":"10.1111/1467-9884.00350","DOIUrl":"https://doi.org/10.1111/1467-9884.00350","url":null,"abstract":"Summary. Continuous markers are often used to discriminate between diseased and healthy populations. In this context, the receiver operating characteristic (ROC) curve is a popular graphical visualization of the discriminatory effectiveness of the marker. Several indices which summarize the discriminatory power of the marker are used, the most common being the area under the ROC curve and the Youden index. We examine covariate effects on these indices, assuming that the marker, possibly transformed, follows the normal distribution. The ROC curve adjusted for covariates is estimated and approximate adjusted confidence intervals for the area under the ROC curve are provided. Further, we investigate bootstrap confidence intervals for both the Youden index and the corresponding critical threshold value, both adjusted for covariates. We motivate this methodology with an example of fingerstick post-prandial blood glucose as a marker for diabetes patients where age is known to be an important covariate for this marker, and we examine how age influences the discriminatory power of the marker.","PeriodicalId":83973,"journal":{"name":"The Statistician : journal of the Institute of Statisticians","volume":"35 1","pages":"179-192"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81083537","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}