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Person
ISNI: 
0000 0001 0930 7867
Name: 
David Hand (British statistician)
Hand, D.
Hand, D. J.
Hand, David
Hand, David J.
Hand, David (matematičar)
Дэвид Хэнд
Dates: 
1950-
Creation class: 
article
Computer file
Language material
Text
txt
Creation role: 
author
contributor
editor
redactor
Related names: 
Adams, Niall M.
Berthold, M.
Berthold, Michael
Bolton, Richard J.
Chapman and Hall (Londyn)
Crowder, M. J.
Crowder, Martin (1943-....))
European Science Foundation
Everitt, Brian
Fisher, Douglas
Gower, J. C.
Herzberg, Agnes M.
Hoffmann, Frank
Jacka, Saul D
Jacka, Saul D.
Kasperska, Maria
Kok, Joost N.
Krzanowski, W. J.
Mannila, Heikki (1960-...)
Smyth, Padhraic
Taylor, Colin C.
University of Southampton
Visserman, Han
Titles: 
Advising on research methods: a consultant's companion
AI and computer power, 1994:
Aircraft noise and mental health: I. Prevalence of individual symptoms.
Analysis of repeated measures
Approximate repeated-measures shrinkage
Artificial intelligence and psychiatry
Bayesian approach to star-galaxy classification, A
Bayesian coclustering of Anopheles gene expression time series: Study of immune defense response to multiple experimental challenges
Bayesian Network Datamining Approach for Modelling the Physical Condition of Copper Access Networks, A
Behavioural models of credit card usage
Biplots
Breast cancer diagnosis from proteomic mass spectrometry data: a comparative evaluation.
Case definition and case identification in psychiatric epidemiology: review and assessment.
Causal indicators in quality of life research.
Classification of Incomplete Vectors, The
Clinical impact versus factor analysis for quality of life questionnaire construction.
Common errors in data analysis: the apparent error rate of classification rules.
Comparing allocation rules
Comparing classifiers when the misallocation costs are uncertain
comparison of response profiles obtained on the McGill Pain Questionnaire and an adjective checklist., A
Comparison of three studies of aircraft noise and psychiatric hospital admissions conducted in the same area.
comparison of two methods of discriminant analysis applied to binary data., A
Construction and assessment of classification rules
Contradictory correlations between derived scales.
Data mining: new challenges for statisticians
Data mining : Statistics and more?
Design of investigations, statistical methods and applications
Detecting groups of anomalously similar objects in large data sets
Direct versus indirect credit scoring classifications
Discrimination and classification, c1982:
double-blind, placebo controlled trial of high-dose lecithin in Alzheimer's disease., A
Effects of treatments by calcium and sex hormones on vertebral fracturing in osteoporosis.
Eksploracja danych
ESF 2002
Estimating class sizes by adjusting fallible classifier results.
Evaluating diagnostic tests: The area under the ROC curve and the balance of errors
Factor analysis, causal indicators and quality of life.
Finding groups in gene expression data.
Finding 'superclassifications' with an acceptable misclassification rate
Finite mixture distributions
Football, Europe and the press
Foundations of statistical inference, theoretical statistics, time series and stochastic processes
Good practice in retail credit scorecard assessment
handbook of small data sets, A
Handling selection bias when choosing actions in retail credit applications
IDA-99
impact of changing populations on classifier performance, The
Improbability principle why coincidences, miracles, and rare events happen every day
Improving the practice of classifier performance assessment.
Information generation how data rule our world
Intelligent data analysis : an introduction
Is anoxic depolarisation associated with an ADC threshold? A Markov chain Monte Carlo analysis
KDD-2002 proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada
Kernel discriminant analysis, 1982:
Likelihood-ratio changepoint features for consumer-behaviour models
Local versus global models for classification problems: Fitting models where it matters
Lookahead scorecards for new fixed term credit products
Macht des Unwahrscheinlichen warum Zufälle, Wunder und unglaubliche Dinge jeden Tag passieren
Measurement theory and practice : the world through quantification
Measuring customer quality in retail banking
Mining for classes and patterns in behavioural data
Mining supervised classification performance studies: a meta-analytic investigation
Mining the past to determine the future : Problems and possibilities
Modelling consumer credit risk
Modern statistics : the myth and the magic
multi-class metric problem in nearest neighbour discrimination rules., The
Multivariate analysis of variance and repeated measures : a practical approach for behavioural scientists
n81091657
Nigdy nie mów nigdy
Note on parallel universes
On comparing two treatments
On optimal intervention for customer lifetime value
onwaarschijnlijkheidsprincipe, Het : waarom toeval, wonderen en zeldzame gebeurtenissen iedere dag voorkomen
Optimal bipartite scorecards
Patients with angina with normal and near normal coronary arteries: clinical and psychosocial state 12 months after angiography.
Pattern detection and discovery : ESF Exploratory Workshop, London, UK, September 16-19, 2002 : proceedings
Pattern discovery and detection: A unified statistical methodology
Performance criteria for plastic card fraud detection tools
Practical longitudinal data analysis
Predicting the amount individuals withdraw at cash machines using a random effects multinomial model
Predictive-sequential forecasting system development for cash machine stocking
Principles of data mining.
problem of screening for uncommon disorders - a comment on the Eating Attitudes Test., The
Prospecting for gems in credit card data
Psychiatric examples of Simpson's paradox.
ROC curves for continuous data
Screening for stratification in two-phase ('two-stage') epidemiological surveys.
Segmentation into predictable classes
Selected statistical papers of Sir David Cox
simple method for screening variables before clustering microarray data, A
Stat. comput. (N.Y., Internet)
Statistical Classification Methods in Consumer Credit Scoring: a Review.
Statistical consultant in action, The
Statistical Detection and Surveillance of Geographic Clusters
Statistical Mind in Modern Society, The : The Netherlands 1850-1940: vol. 1, Official Statistics, Social Progress and Modern Enterprise; vol. 2, Statistics and Scientific Work
statistical model for the temporal pattern of individual automated teller machine withdrawals, A
Statistical tests in experimental psychiatric research.
Statistics a very short introduction
Statistics and computing
Statistics in finance
survey of the issues in consumer credit modelling research, A
Temporal relation between the ADC and DC potential responses to transient focal ischemia in the rat: a Markov chain Monte Carlo simulation analysis.
Temporally adaptive estimation of logistic classifiers on data streams
Testing the difference between two Kolmogorov-Smirnov values in the context of receiver operating characteristic curves
Top 10 algorithms in data mining
Validity and uses of a screening questionnaire (GHQ) in the community.
wellbeing of nations meaning, motive and measurement
Who gets renal bone disease before beginning dialysis?
Zasada nieprawdopodobieństwa : dlaczego codziennie zdarzają się cuda i zbiegi okoliczności
Contributed to or performed: 
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
INTERNATIONAL JOURNAL OF FORECASTING
JOURNAL- OPERATIONAL RESEARCH SOCIETY
JOURNAL- ROYAL STATISTICAL SOCIETY SERIES A
QUALITY CONTROL AND APPLIED STATISTICS
SOCIAL SCIENCE COMPUTER REVIEW
Notes: 
Doctoral Thesis - University of Southampton
Sources: 
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