Publications
314 results found
Allin P, Hand DJ, 2014, Recent developments: Towards economic, social and environmental accounts, WELLBEING OF NATIONS: MEANING, MOTIVE AND MEASUREMENT, Publisher: JOHN WILEY & SONS LTD, Pages: 83-114, ISBN: 978-1-118-48957-4
Allin P, Hand DJ, 2014, Preparing to measure national wellbeing, WELLBEING OF NATIONS: MEANING, MOTIVE AND MEASUREMENT, Publisher: JOHN WILEY & SONS LTD, Pages: 146-170, ISBN: 978-1-118-48957-4
Allin P, Hand DJ, 2014, Measuring individual wellbeing, WELLBEING OF NATIONS: MEANING, MOTIVE AND MEASUREMENT, Publisher: JOHN WILEY & SONS LTD, Pages: 115-145, ISBN: 978-1-118-48957-4
Allin P, Hand DJ, 2014, How to measure national wellbeing?, WELLBEING OF NATIONS: MEANING, MOTIVE AND MEASUREMENT, Publisher: JOHN WILEY & SONS LTD, Pages: 171-216, ISBN: 978-1-118-48957-4
Allin P, Hand DJ, 2014, What is national wellbeing and why measure it?, WELLBEING OF NATIONS: MEANING, MOTIVE AND MEASUREMENT, Publisher: JOHN WILEY & SONS LTD, Pages: 1-34, ISBN: 978-1-118-48957-4
Allin P, Hand DJ, 2014, A short history of national wellbeing and its measurement, WELLBEING OF NATIONS: MEANING, MOTIVE AND MEASUREMENT, Publisher: JOHN WILEY & SONS LTD, Pages: 35-82, ISBN: 978-1-118-48957-4
Allin P, Hand DJ, 2014, The Wellbeing of Nations Meaning, Motive and Measurement Preface, Publisher: JOHN WILEY & SONS LTD, ISBN: 978-1-118-48957-4
Allin P, Hand DJ, 2014, The Wellbeing of Nations Meaning, Motive and Measurement Conclusions, WELLBEING OF NATIONS: MEANING, MOTIVE AND MEASUREMENT, Publisher: JOHN WILEY & SONS LTD, Pages: 236-252, ISBN: 978-1-118-48957-4
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
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- Citations: 1
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
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- Citations: 2
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
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- Citations: 1
Hand DJ, 2013, From Evidence to Understanding: A Precarious Path, European Review, Vol: 21, Pages: S32-S39, ISSN: 1234-981X
Falsifiability is the cornerstone of science. However, Rutherford notwithstanding, almost by definition science functions at the limits of measurement accuracy and theoretical grasp, so that statistical analysis is central to scientific advance. This applies as much to physics as it does to psychology, as much to geology as to biology. I look at some of the potholes in the path of scientific discovery, showing how easy it is to stumble, and at some of the consequences for the scientific endeavour.
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: 9781461435075
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
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- Citations: 7
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
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- Citations: 7
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
Ross GJ, Adams NM, Tasoulis DK, et al., 2012, Exponentially weighted moving average charts for detecting concept drift (vol 33, pg 191, 2012), PATTERN RECOGNITION LETTERS, Vol: 33, Pages: 2261-2261, ISSN: 0167-8655
Hand DJ, 2012, Statistical Concepts: A Second Course, 4th edition, INTERNATIONAL STATISTICAL REVIEW, Vol: 80, Pages: 491-491, ISSN: 0306-7734
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- Citations: 5
Hand DJ, 2012, An Introduction to Statistical Concepts, 3rd edition, INTERNATIONAL STATISTICAL REVIEW, Vol: 80, Pages: 489-491, ISSN: 0306-7734
Hand DJ, 2012, Assessing the Performance of Classification Methods, INTERNATIONAL STATISTICAL REVIEW, Vol: 80, Pages: 400-414, ISSN: 0306-7734
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- Citations: 79
Pavlidis NG, Tasoulis DK, Adams NM, et al., 2012, Adaptive consumer credit classification, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, Vol: 63, Pages: 1645-1654, ISSN: 0160-5682
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- Citations: 14
Hand DJ, 2012, Credit scoring, insurance and discrimination, Statistics, Science and Public Policy XVI, Editors: Herzberg, Pages: 85-90, ISBN: 9781553393825
Ross GJ, Adams NM, Tasoulis DK, et al., 2012, Exponentially weighted moving average charts for detecting concept drift, PATTERN RECOGNITION LETTERS, Vol: 33, Pages: 191-198, ISSN: 0167-8655
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- Citations: 217
Hand DJ, Crowder MJ, 2012, Overcoming selectivity bias in evaluating new fraud detection systems for revolving credit operations, INTERNATIONAL JOURNAL OF FORECASTING, Vol: 28, Pages: 216-223, ISSN: 0169-2070
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- Citations: 4
Bentham J, Hand DJ, 2012, Data mining from a patient safety database: the lessons learned, DATA MINING AND KNOWLEDGE DISCOVERY, Vol: 24, Pages: 195-217, ISSN: 1384-5810
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- Citations: 4
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