290 results found
Hand DJ, 2018, Aspects of Data Ethics in a Changing World: Where Are We Now?, BIG DATA, Vol: 6, Pages: 176-190, ISSN: 2167-6461
Hand DJ, Who told you that? Data provenance, false facts, and how to tell the liars from the truth-tellers, Significance, ISSN: 1740-9705
Hand DJ, 2018, Statistical challenges of administrative and transaction data, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, Vol: 181, Pages: 555-578, ISSN: 0964-1998
Hand D, Christen P, 2018, A note on using the F-measure for evaluating record linkage algorithms, Statistics and Computing, Vol: 28, Pages: 539-547, ISSN: 0960-3174
Allin P, Hand DJ, 2017, From a System of National Accounts to a Process of National Wellbeing Accounting, INTERNATIONAL STATISTICAL REVIEW, Vol: 85, Pages: 355-370, ISSN: 0306-7734
Hand DJ, 2017, Measurement: A Very Short Introduction-Rejoinder to discussion, MEASUREMENT-INTERDISCIPLINARY RESEARCH AND PERSPECTIVES, Vol: 15, Pages: 37-50, ISSN: 1536-6367
Allin P, Hand DJ, 2017, New statistics for old?-measuring the wellbeing of the UK, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, Vol: 180, Pages: 3-24, ISSN: 0964-1998
Hand DJ, 2016, Measurement: a very short introduction, Publisher: Oxford University Press, ISBN: 9780198779568
Measurement underpins all of modern society, from science, through medicine, to management, economics, and government. This book describes the history of measurement, and presents a unified theory of measurement, covering all its aspects from measuring mass and length to measuring pain, depression, GDP, and beyond.
Hand DJ, 2016, The case against a paradigm shift in the way we use data, FST Journal, Vol: 21, Pages: 10-12, ISSN: 1475-1704
Hand DJ, 2016, Editorial: 'Big data' and data sharing, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, Vol: 179, Pages: 629-631, ISSN: 0964-1998
Hand DJ, Big data and data sharing, Journal of the Royal Statistical Society Series A - Statistics in Society, ISSN: 0964-1998
Hand DJ, 2015, From evidence to understanding: a commentary on Fisher (1922) 'On the mathematical foundations of theoretical statistics', PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, Vol: 373, ISSN: 1364-503X
The nature of statistics has changed over time. Itwas originally concerned with descriptive ‘mattersof state’—with summarizing population numbers,economic strength and social conditions. But duringthe course of the twentieth century its aim broadenedto include inference—how to use data to shed light onunderlying mechanisms, about what might happen inthe future, about what would happen if certain actionswere taken. Central to this development was RonaldFisher. Over the course of his life he was responsiblefor many of the major conceptual advances instatistics. This is particularly illustrated by his 1922paper, in which he introduced many of the conceptswhich remain fundamental to our understanding ofhow to extract meaning from data, right to the presentday. It is no exaggeration to say that Fisher’s work, asillustrated by the ideas he described and developedin this paper, underlies all modern science, andmuch more besides. This commentary was writtento celebrate the 350th anniversary of the journalPhilosophical Transactions of the Royal Society
Allin P, Hand DJ, 2014, The Wellbeing of Nations Meaning, Motive and Measurement, Publisher: John Wiley & Sons, ISBN: 9781118489574
Slowly we are learning to better count what really matters in our lives. This book explains the international collaboration behind this new learning and moves it far forward.
Hand DJ, Anagnostopoulos C, 2014, A better Beta for the H measure of classification performance, PATTERN RECOGNITION LETTERS, Vol: 40, Pages: 41-46, ISSN: 0167-8655
Hand DJ, Adams NM, 2014, Selection bias in credit scorecard evaluation, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, Vol: 65, Pages: 408-415, ISSN: 0160-5682
Hand D, 2014, The Improbability Principle Why coincidences, miracles and rare events happen all the time, Publisher: Random House, ISBN: 9781448170661
Here, in this highly original book - aimed squarely at anyone with an interest in coincidences, probability or gambling - eminent statistician David Hand answers this question by weaving together various strands of probability into a ...
Hand DJ, 2014, Wonderful Examples, but Let's not Close Our Eyes, STATISTICAL SCIENCE, Vol: 29, Pages: 98-100, ISSN: 0883-4237
Hand DJ, 2013, Introduction to Probability with Texas Hold'em Examplese, INTERNATIONAL STATISTICAL REVIEW, Vol: 81, Pages: 334-334, ISSN: 0306-7734
Hand DJ, 2013, Graphical Models with R, INTERNATIONAL STATISTICAL REVIEW, Vol: 81, Pages: 316-316, ISSN: 0306-7734
Hand DJ, 2013, Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis, INTERNATIONAL STATISTICAL REVIEW, Vol: 81, Pages: 335-335, ISSN: 0306-7734
Hand DJ, 2013, A Statistical Guide for the Ethically Perplexed, INTERNATIONAL STATISTICAL REVIEW, Vol: 81, Pages: 314-316, ISSN: 0306-7734
Hand DJ, 2013, Comparing Groups: Randomization and Bootstrap Methods Using R, INTERNATIONAL STATISTICAL REVIEW, Vol: 81, Pages: 326-328, ISSN: 0306-7734
Hand DJ, 2013, Latent Variable Models and Factor Analysis: A Unified Approach, 3rd Edition, INTERNATIONAL STATISTICAL REVIEW, Vol: 81, Pages: 333-334, ISSN: 0306-7734
Hand DJ, 2013, A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling, INTERNATIONAL STATISTICAL REVIEW, Vol: 81, Pages: 326-326, ISSN: 0306-7734
Hand DJ, 2013, Living Standards Analytics: Development through the Lens of Household Survey Data, INTERNATIONAL STATISTICAL REVIEW, Vol: 81, Pages: 331-332, ISSN: 0306-7734
Hand DJ, 2013, From Evidence to Understanding: A Precarious Path, EUROPEAN REVIEW, Vol: 21, Pages: S32-S39, ISSN: 1062-7987
Hand DJ, Anagnostopoulos C, 2013, When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?, PATTERN RECOGNITION LETTERS, Vol: 34, Pages: 492-495, ISSN: 0167-8655
Hand DJ, 2013, Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead, 12th International Symposium on Intelligent Data Analysis (IDA), Publisher: SPRINGER-VERLAG BERLIN, Pages: 1-12, ISSN: 0302-9743
Henrion M, Mortlock DJ, Hand DJ, et al., 2013, Classification and Anomaly Detection for Astronomical Survey Data, Springer Series in Astrostatistics, Pages: 149-184, ISBN: 9781461435082
© Springer Science+Business Media New York 2013. We present two statistical techniques for astronomical problems: a star-galaxy separator for the UKIRT Infrared Deep Sky Survey (UKIDSS) and a novel anomaly detection method for cross-matched astronomical datasets. The star-galaxy separator is a statistical classification method which outputs class membership probabilities rather than class labels and allows the use of prior knowledge about the source populations. Deep Sloan Digital Sky Survey (SDSS) data from the multiply imaged Stripe 82 region are used to check the results from our classifier, which compares favourably with the UKIDSS pipeline classification algorithm. The anomaly detection method addresses the problem posed by objects having different sets of recorded variables in cross-matched datasets. This prevents the use of methods unable to handle missing values and makes direct comparison between objects difficult. For each source, our method computes anomaly scores in subspaces of the observed feature space and combines them to an overall anomaly score. The proposed technique is very general and can easily be used in applications other than astronomy. The properties and performance of our method are investigated using both real and simulated datasets.
Henrion M, Hand DJ, Gandy A, et al., 2013, CASOS: a Subspace Method for Anomaly Detection in High Dimensional Astronomical Databases, STATISTICAL ANALYSIS AND DATA MINING, Vol: 6, Pages: 53-72, ISSN: 1932-1864
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.