italictitle Infobox Journal cover File Biometrikacover.gif discipline Statistics abbreviation Biometrika website http biomet.oxfordjournals.org editor A. C. Davison publisher Biometrika Trust, Oxford University Press country United Kingdom history 1901 present impact 1.833 impact year 2010 link1 http biomet.oxfordjournals.org current.dtl link1 name Online access link2 http biomet.oxfordjournals.org archive link2 name Online archive JSTOR 00063444 ISSN 0006 3444 eISSN 1464 3510 OCLC 41669958 LCCN 25005151 CODEN BIOKAX Biometrika is a Peer review peer reviewed scientific journal published by Oxford Journals for the Biometrika Trust. It was established in October, 1901. The editor in chief is A. C. Davison. The principal focus of this journal is theoretical statistics . ref name loc ref name about Cite web title About publisher Oxford Journals date url http lccn.loc.gov 25005151 accessdate 2011 07 28 ref In 1901 Biometrika began as a quarterly journal and changed to three issues per year in 1977 ... 25005151 accessdate 2011 07 28 ref History Biometrika was established in 1901 by Francis Galton , Karl ... David Cox was editor for the next 25 years. So, in its first 65 years Biometrika had effectively ... presented a clear statement of purpose blockquote It is intended that Biometrika shall serve ... introduction, Biometrika 1 . ref blockquote Its contents were to include memoirs on variation , inheritance ... the twentieth century Biometrika became a journal of statistics in which emphasis is placed on papers ... J.B.S. 1957. Karl Pearson 1857 1957. Biometrika , 44 , p. 303. ref The same might be said of Pearson ... in statistical theory and methodology a commemorative volume was produced, ref Biometrika One Hundred ... in the years 1939 71. ref David Cox , http isi.cbs.nl bnews 01a bn 7.html Biometrika Centenary , Bernoulli ... http biomet.oupjournals.org http www.archive.org details biometrikavolum00labogoog Biometrika 1901 ... University Press academic journals de Biometrika es Biometrika fr Biometrika it Biometrika ru Biometrika ... more details
Summary Non free use rationale Article Biometrika Description 2010 cover of the journal Biometrika Source http biomet.oxfordjournals.org Portion All Low resolution Yes 3 kb Purpose To illustrate the article on the journal Replaceability Impossible other information Publisher Oxford University Press Licensing Non free magazine cover Category Academic journal covers ... more details
Abraham Wald Wald s statistical decision theory decision theory was explicated in his last book, Statistical decision functions ref cite book first Abraham last Wald authorlink Abraham Wald title Statistical Decision Functions year 1950 pages ix 179 publisher John Wiley and Sons , New York Chapman and Hall , London isbn 0828402434 ref ref cite journal author G. A. Barnard title Review of Statistical Decision Functions journal Biometrika volume 40 issue 3 4 date December, 1953 pages 475 477 doi 10.2307 2333373 jstor 2333373 publisher Biometrika Trust last2 Wald first2 A. ref See also Leonid Hurwicz Notes references Category Decision theory statistics stub ... more details
Biometrika centenary Sample surveys journal Biometrika volume 88 issue 1 pages 167 243 doi 10.1093 biomet 88.1.167 cite book last Smith first T. M. F. year 2001 chapter Biometrika centenary Sample surveys editor D. M. Titterington and David R. Cox D. R. Cox title Biometrika One Hundred Years pages ... more details
1956 A Rejection Criterion Based upon the Range. Biometrika , 43, 418 422. Cochran, W.G. 1941 . The distribution ... 0 471 38926 9 Hartley, H.O. 1950 . The Use of Range in Analysis of Variance Biometrika , 37, 271 280. David, H.A. 1952 . Upper 5 and 1 points of maximum F ratio. Biometrika , 39, 422 424. O Brien, R.G. ... Hall. Pearson, E.S., Hartley, H.O. 1970 . Biometrika Tables for Statisticians, Vol 1 , CUP ISBN ... more details
Biometrika using the pseudonym Student . However, it was Ronald Fisher R. A. Fisher who appreciated ... On the error of counting with h macytometer journal Biometrika volume 5 issue 3 month February ... title The probable error of a mean journal Biometrika volume 6 issue 1 month March pages 1&ndash 25 ... Biometrika volume 6 issue 2 3 month September pages 302&ndash 310 year 1908 doi 10.1093 biomet ... journal Biometrika volume 7 issue 1 2 month July&ndash October pages 210&ndash 214 year 1909 doi 10.1093 ... Spearman s correlation coefficients journal Biometrika volume 13 issue 2 3 month July pages 263&ndash ... by E.S. Pearson and John Wishart, with a foreword by Launce McMullen , London Biometrika Office. 1942 ..., Student as Statistician, Biometrika Vol. 30, No. 3 4 Jan., 1939 , pp. 210 250. External links ... more details
of variance test. Biometrika 29, 1938 , 322&ndash 335. The estimation of the location and scale parameters of a continuous population of any given form, Biometrika 30, 1939 391&ndash 421. Tests of hypotheses concerning location and scale parameters. Biometrika 31, 1939 200&ndash 215. Statistics ... more details
Walter Laws Smith born November 12, 1926 is a United Kingdom British born United States American mathematician , known for his contributions to applied probability theory . He was born in London. ref http books.google.ca books?id L5QeAAAAMAAJ&q 22Smith, Walter Laws 22&dq 22Smith, Walter Laws 22&hl en&sa X&ei Wn3rTvrnHJTciQLP3N3 Aw&ved 0CEwQ6AEwBg ref Smith received his B.Sc. in mathematics 1947 from Cambridge University , going on to earn an M.Sc. 1951 and Ph.D. 1953 from the same university. His dissertation was entitled Stochastic Sequences of Events advised by Henry Daniels and David Cox statistician D. R. Cox , with whom he published the book Queues 1961 and also published with in his early years. ref http genealogy.math.ndsu.nodak.edu id.php?id 42167 entry at Mathematics Genealogy Project ref He worked at The University of North Carolina Chapel Hill 1954 56 and 1958 , where he is now an emeritus in the department of statistics and operations research. ref http www.stat.unc.edu faculty wsmith.html homepage at unc.edu ref He is fellow of the Institute of Mathematical Statistics , fellow of the American Statistical Association 1966 , winner of the Adams Prize at the University of Cambridge 1960 , Sir Winston Churchill overseas fellow and receiver of a Guggenheim Fellowship see List of Guggenheim Fellowships awarded in 1974 Publications The superimposition of several strictly periodic sequences of events , in Biometrika , 40 ? , 1953. With Cox. A direct proof of a fundamental theorem of renewal theory , in Skandinavisk Aktuartidsskrift , 36 ? , 1953 On the superposition of renewal processes , in Biometrika , 41 1 2 91 99, 1954. With Cox. A note on truncation and sufficient statistics in The Annals of Mathematical Statistics , 28 1 247 252, 1957 On the distribution of Tribolium confusum in a container , in Biometrika , 44 ? , 1957. With Cox. Renewal theory and its ramafications , in Journal of the Royal Statistical Society , 20 2 243 302, 1958 On the elementary rene ... more details
of Any Size Drawn from Non Normal Universes volume 38 year 1951 pages 219&ndash 247 journal Biometrika jstor 2332329 issue 1 2 publisher Biometrika Trust ref determined the exact distribution of z ... more details
italictitle Infobox journal title Biostatistics cover editor discipline Statistics abbreviation Biostatistics publisher Oxford University Press Oxford Journals country United Kingdom frequency Quarterly history 2000 present openaccess hybrid license impact 3.394 impact year 2008 website link1 link1 name link2 link2 name RSS atom JSTOR OCLC LCCN CODEN ISSN 1465 4644 eISSN 1468 4357 boxwidth Biostatistics is a Peer review peer reviewed scientific journal covering biostatistics , that is, statistics for biological and medical research. The journals that had cited Biostatistics the most by 2008 ref Journal Citation Reports 2008, Science Edition ref were Biometrics journal Biometrics , Journal of the American Statistical Association , Biometrika , Statistics in Medicine journal Statistics in Medicine , and Journal of the Royal Statistical Society Journal of the Royal Statistical Society, Series B . External links Official http biostatistics.oxfordjournals.org References reflist Statistics journals Category Biostatistics journals Category Statistics journals Category Publications established in 2000 academic journal stub ... more details
Shirley Poppy is the name given to an ornamental cultivar group derived from the European wild field poppy Papaver rhoeas . History The Shirley poppy was created from 1880 onwards by the William Wilks Reverend William Wilks , vicar of the parish of Shirley, London Shirley in England. Wilks found in a corner of his garden where it adjoined arable fields, a variant of the field poppy that had a narrow white border around the petals. By careful selection and hybridization over many years he obtained a strain of poppies ranging in colour from white and pale lilac to pink and red, and unlike the wild poppies these had no dark blotches at the base of the petals. Further selection has given rise to semi double and double forms, as well as flowers with a ring of contrasting colour around the edge the picotee form. Genetics of Shirley Poppies The striking example of deviation from a wild type under artificial selection provided by the Shirley poppy attracted the attention of pioneer geneticists and biometricians. The biometrician Karl Pearson used the Shirley poppy to study his ideas of homotyposis , which he defined as the quantitative degree of resemblance to be found on the average between the like parts of organisms . ref Pearson, Karl et al. 1903 Cooperative investigations on plants. I. On the inheritance of the Shirley poppy. Biometrika 2 56 100 ref ref Pearson, Karl et al. 1906 Cooperative Investigations on Plants III. On inheritance in the Shirley poppy Second Memoir. Biometrika 4 394 426 ref However Pearson s work on Shirley poppy was ridiculed by the pioneer geneticist William Bateson for ignoring the recently discovered analytical methods of Mendelian genetics. Bateson wrote Misconception of the nature and significance of intermediates has deprived the work of the biometrical school of scientific value as a contribution to the study of heredity. This is well seen in the case of the colours of the Shirley Poppies, one of the subjects with reference to which copious ... more details
Statistics , Biometrika, 1987. Improved likelihood ratio statistics for exponential family nonlinear models , Biometrika, 1989. Bias correction in generalized linear models , JRSS B, 1991. A modified score test statistic having chi squared distribution to order math 1 n math , Biometrika, 1991. Improved ... classic criteria in generalized linear models , Biometrika, 1994. Improved likelihood ratio tests ... consistent covariance matrix estimators , Biometrika, 2000. Higher order asymptotic refinements for score ... more details
journey through time series in Biometrika journal Biometrika volume 88 pages 195 218 issue Biometrika ... through time series in Biometrika title Biometrika One Hundred Years editor D. M. Titterington ... more details
Guy Nason is a British statistician, a Professor of Statistics at the University of Bristol and Head of the Mathematics Department there. Biography Nason received his BSc from the University of Bath in 1988, a diploma in Mathematical Statistics from the University of Cambridge in 1989 is PhD in Statistics from the University of Bath in 1992. He served as a Council member of the Royal Statistical Society 2004 08 and is a member of the EPSRC Strategic Advisory Team for Mathematics. He was an EPSRC Advanced Research Fellow during 2000 5. He took over the post as head of mathematics at Bristol from Stephen Wiggins in 2008. He has served as the Secretary of the RSS Research Section 2002 04 , associate editor for the Journal of the RSS, Series B, Computational Statistics and Statistica Sinica and is currently an associate editor for Biometrika . ref http www.oxfordjournals.org our journals biomet editorial board.html Editorial Board , Biometrika . Accessed September 5, 2011 ref Research Nason is best known for his work in the area of time series analysis , especially wavelet approaches. ref G. P. Nason & R. von Sachs Wavelets in Time Series Analysis Philosophical Transactions of the Royal Society of London A, 1999, 357, 2511 2526 ref ref G.P. Nason, R von Sachs & G Kroisandt Wavelet processes and adaptive estimation of the evolutionary wavelet spectrum. Journal of the Royal Statistical Society, Series B, 2000, 62, 271 292 ref ref G. P. Nason Wavelet Methods in Statistics with R Use R , Springer Verlag, ISBN 0387759603 ref Book Nason s book Wavelet Methods in Statistics with R Springer, 2008, ISBN 978 0 387 75960 9 describes methods of performing statistical analysis with wavelets using the R programming language R software environment for statistical computing and the author s WaveThresh package for wavelet analysis within R. The book s topics include Shrinkage statistics shrinkage , smoothing and density estimation , multiresolution analysis and time series analysis , an ... more details
Infobox Journal title Annals of Human Genetics cover Image Cover Annals of Human Genetics 2005.jpg discipline Genetics , Human biology language English abbreviation Ann. Hum. Genet. link1 http www.blackwellpublishing.com journal.asp?ref 0003 4800&site 1 link1 name Content URL link2 http www.blackwellpublishing.com aims.asp?ref 0003 4800 link2 name Informational URL publisher Blackwell Publishing country United Kingdom UK history 1925 to 1954 as Annals of Eugenics br 1954 to 2002 under present title by Cambridge University Press br 2003 to present under present title by present publisher ISSN 1469 1809 The Annals of Human Genetics , formerly known as the Annals of Eugenics is a scientific journal concerning human genetics . The Annals of Eugenics was established in 1925 by Karl Pearson , who earlier in 1901 had established Biometrika . The name was changed in 1954 ref doi 10.1016 S0140 6736 04 16280 6 ref to reflect changing views on the role of eugenics in society. This journal was included by the Institute for Scientific Information as one of the 262 journals published between 1900 1944 ... identified as providing the most relevant significant and useful information of that era to today s researcher . It appears among the over 14,000 scientific journals listed by the Institute for Scientific Information , so it meets the standards for listing of that organization. ref http scientific.thomson.com cgi bin jrnlst jlresults.cgi?PC HI Journal Search Thomson Scientific Bot generated title ref Footnotes See http en.wikipedia.org wiki Wikipedia Footnotes for an explanation of how to generate footnotes using the ref and ref tags and the tag below references External links http www.blackwellpublishing.com journal.asp?ref 0003 4800 Blackwell site http www.gene.ucl.ac.uk anhumgen Official site biology journal stub Category Genetics journals Category Wiley Blackwell academic journals pt Annals of Human Genetics ... more details
In the design of experiments , a propensity score is the probability of a unit e.g., person, classroom, school being assigned to a particular condition in a study given a set of known covariates. Propensity scores are used to reduce selection bias by equating groups based on these covariates. In the analysis of treatment effects, suppose that we have a binary treatment T , an outcome Y , and background variables X . The propensity score is defined as the conditional probability of treatment given background variables math p x stackrel mathrm def Pr T 1 X x . math The propensity score was introduced by Rosenbaum and Rubin 1983 to provide an alternative method for estimating treatment effects when treatment assignment is not random, but can be assumed to be unconfounded. Let Y 0 and Y 1 denote the potential outcomes under control and treatment, respectively. Then treatment assignment is conditionally unconfounded if treatment is statistical independence independent of potential outcomes conditional on X . This can be written compactly as math T perp Y 0 , Y 1 , , X math where math perp math denotes statistical independence . Rosenbaum and Rubin showed that if unconfoundedness holds, then math T perp Y 0 , Y 1 , , p X . math Pearl 2000 has shown that a simple graphical criterion called backdoor provides an equivalent definition of unconfoundedness. See also div style moz column width 15em column width 15em Propensity score matching div References Pearl, J. 2000 . Causality Models, Reasoning, and Inference, Cambridge University Press. Rosenbaum, P. R., and Rubin, D. B., 1983 , The Central Role of the Propensity Score in Observational Studies for Causal Effects, Biometrika 70, 41&ndash 55. Category Biostatistics Category econometrics bn ... more details
In statistics and propagation of uncertainty uncertainty analysis , the Welch Satterthwaite equation is used to calculate an approximation to the effective degrees of freedom statistics degrees of freedom of a linear combination of independent sample variance s. For math n sample variances math s sub i sub sup 2 sup i 1, ..., n , each respectively having math sub i sub degrees of freedom, often one computes the linear combination math chi sum i 1 n k i s i 2 . math In general, the distribution of math cannot be expressed analytically. However, its distribution can be approximated by another chi squared distribution , whose effective degrees of freedom are given by the Welch Satterthwaite equation math nu chi approx frac sum i 1 n k i s i 2 2 sum i 1 n frac k i s i 2 2 nu i math There is no assumption that the underlying population variances math sub i sub sup 2 sup are equal. The result can be used to perform approximate statistical inference tests. The simplest application of this equation is in performing Welch s t test . References Citation last Satterthwaite first F. E. title An Approximate Distribution of Estimates of Variance Components. journal Biometrics Bulletin volume 2 pages 110&ndash 114 year 1946 doi 10.2307 3002019 Citation last Welch first B. L. title The generalization of student s problem when several different population variances are involved. journal Biometrika volume 34 pages 28&ndash 35 year 1947 cite book last Neter first John coauthors John Neter, William Wasserman, Michael H. Kutner title Applied Linear Statistical Models publisher Richard D. Irwin, Inc. date 1990 pages 851 isbn 0 256 08338 X Category Statistical theorems Category Equations Category Statistical approximations ... more details
In statistics , the closed testing procedure ref cite journal doi 10.1093 biomet 63.3.655 last1 Marcus first1 R last2 Peritz first2 E last3 Gabriel first3 KR year 1976 title On closed testing procedures with special reference to ordered analysis of variance url journal Biometrika volume 63 issue pages 655 660 ref is a general method for performing more than one Statistical hypothesis testing hypothesis test simultaneously. The closed testing principle Suppose there are k hypotheses H sub 1 sub ,..., H sub k sub to be tested and the overall type I error rate is . The closed testing principle allows the rejection of any one of these elementary hypotheses, say H sub i sub , if all possible intersection hypotheses involving H sub i sub can be rejected by using valid local level tests. It controls the familywise error rate for all the k hypotheses at level in the strong sense. Example Suppose there are three hypotheses H sub 1 sub , H sub 2 sub , and H sub 3 sub are to be tested and the overall type I error rate is 0.05. Then H sub 1 sub can be rejected at level if H sub 1 sub H sub 2 sub H sub 3 sub , H sub 1 sub H sub 2 sub , H sub 1 sub H sub 3 sub and H sub 1 sub can all be rejected using valid tests with level 0.05. Special cases The Holm&ndash Bonferroni method is a special case of a closed test procedure for which each intersection null hypothesis is tested using the simple Bonferroni test. As such, it controls the familywise error rate for all the k hypotheses at level in the strong sense. References Reflist See also Multiple comparisons Holm&ndash Bonferroni method Bonferroni correction Category Hypothesis testing Category Statistical tests ... more details
Edmund Cecil Rhodes 1892&ndash 1964 , a statistician , was born in Yorkshire and named after Cecil Rhodes . He went to Bradford Grammar School and Trinity College, Cambridge where he graduated as Wrangler University of Cambridge Wrangler B star in 1914. In 1924 he became Reader at the London School of Economics where he remained until he retired in 1958. He wrote for Biometrika and the Journal of the Royal Statistical Society , and Francis Ysidro Edgeworth Edgeworth called him a pathbreaker see obituary by Grebenik . Rhodes originated the Rhodes algorithm in linear programming . He worked with Arthur Bowley , and also with Sir Alexander Carr Saunders on his study of juvenile delinquency , and he contributed to population studies and the statistical study of examinations see his book with Sir Philip John Hartog entitled An Examination of Examinations . Papers Reducing Observations by the Method of Minimum Deviations , Phil. Magazine 7th Series. Pp. 974 992, 1930 Young Offenders, an Enquiry Into Juvenile Delinquency , Alexander Carr Saunders A.M. Carr Saunders e Hermann Mannheim , 1942 An examination of examinations being a summary of investigations on the comparison of marks allotted to examinations scripts by independent examiners and boards of examiners, together with a section on a viva voce examination , with Sir Philip John Hartog , 1936 References Grebenik, E. 1965 Edmund Cecil Rhodes, 1892&ndash 1964 obituary . Journal of the Royal Statistical Society A128 4 615&ndash 616. Persondata Metadata see Wikipedia Persondata . NAME Rhodes, E. C. ALTERNATIVE NAMES SHORT DESCRIPTION DATE OF BIRTH 1892 PLACE OF BIRTH DATE OF DEATH 1964 PLACE OF DEATH DEFAULTSORT Rhodes, E. C. Category 1892 births Category 1964 deaths Category People associated with the London School of Economics Category English statisticians UK statistician stub it Edmund Cecil Rhodes ... more details
In statistics , Lukacs s proportion sum independence theorem is a result that is used when studying proportions, in particular the Dirichlet distribution . It is named for Eugene Lukacs . ref name lukacs1955 cite journal last Lukacs first Eugene title A characterization of the gamma function journal Annals of mathematical statistics year 1955 volume 26 pages 319&ndash 324 ref The theorem If Y sub 1 sub and Y sub 2 sub are non degenerate, statistical independence independent random variable s, then the random variables math W Y 1 Y 2 text and P frac Y 1 Y 1 Y 2 math are independently distributed if and only if both Y sub 1 sub and Y sub 2 sub have gamma distribution s with the same scale parameter. Corollary Suppose Y sub i sub , i 1, ..., k be non degenerate, independent, positive random variables. Then each of k &minus 1 random variables math P i frac Y i sum i 1 k Y i math is independent of math W sum i 1 k Y i math if and only if all the Y sub i sub have gamma distributions with the same scale parameter. ref name mosimann1962 cite journal last Connor first James E. title On the compound multinomial distribution, the multivariate math beta math distribution, and correlation among proportions journal Biometrika year 1962 volume 49 issue 1 and 2 pages 65&ndash 82 ref References reflist Category Probability theorems Category Characterization of probability distributions ... more details
In statistics , the Phillips Perron test named after Peter C. B. Phillips and Pierre Perron is a unit root test. That is, it is used in time series analysis to test the null hypothesis that a time series is order of integration integrated of order 1. It builds on the Dickey Fuller test of the null hypothesis math delta 0 math in math y t delta y t 1 u t , math , where is the first difference Operator mathematics operator . Like the augmented Dickey Fuller test , the Phillips Perron test addresses the issue that the process generating data for math y t math might have a higher order of autocorrelation than is admitted in the test equation making math y t 1 math endogenous and thus invalidating the Dickey Fuller t test . Whilst the augmented Dickey Fuller test addresses this issue by introducing lags of math y t math as regressors in the test equation, the Phillips Perron test makes a non parametric statistics non parametric correction to the t test statistic. The test is robust with respect to unspecified autocorrelation and heteroscedasticity in the disturbance process of the test equation. Davidson and MacKinnon 2004 report that the Phillips Perron test performs worse in finite samples than the augmented Dickey Fuller test . Reference Davidson, Russell and James G. MacKinnon 2004 , Econometric Theory and Methods, p.623, ISBN 978 0195123722 Phillips, P.C.B and P. Perron 1988 , Testing for a Unit Root in Time Series Regression , Biometrika , 75, 335 346 Category Statistical tests ... more details
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