I. Jolliffe

发表

Principal Component Analysis

I. Jolliffe, 2002 .

A Modified Principal Component Technique Based on the LASSO

I. Jolliffe, N. Trendafilov, Mudassir Uddin, 2003 .

Rotation of principal components: choice of normalization constraints

I. Jolliffe, 1995 .

Principal Component Analysis and Factor Analysis

I. Jolliffe, 1986 .

Principal Component Analysis

Ian T. Jolliffe, I. Jolliffe, 2002, International Encyclopedia of Statistical Science.

Two Extra Components in the Brier Score Decomposition

I. Jolliffe, D. Stephenson, C. Coelho, 2008 .

Principal Components in Regression Analysis

I. Jolliffe, 1986 .

Principal Component Analysis

I. Jolliffe, 2002, International Encyclopedia of Statistical Science.

Principal component analysis: a review and recent developments

Jorge Cadima, Ian T Jolliffe, I. Jolliffe, 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

ON RELATIONSHIPS BETWEEN UNCENTRED AND COLUMN-CENTRED PRINCIPAL COMPONENT ANALYSIS

I. Jolliffe, J. Cadima, 2009 .

Discarding Variables in a Principal Component Analysis. Ii: Real Data

I. Jolliffe, 1973 .

A Note on the Use of Principal Components in Regression

I. Jolliffe, 1982 .

Forecast verification : a practitioner's guide in atmospheric science

I. Jolliffe, D. Stephenson, 2011 .

A User's Guide to Principal Components.

J. Edward Jackson, I. T. Jolliffe, J. E. Jackson, 1991 .

Revised “LEPS” Scores for Assessing Climate Model Simulations and Long-Range Forecasts

Ian T. Jolliffe, D. Sexton, I. Jolliffe, 1996 .

Independent exploratory factor analysis with application to atmospheric science data

I. Jolliffe, N. Trendafilov, Steffen Unkel, 2010 .

Independent Component Analysis of Climate Data: A New Look at EOF Rotation

Ian T. Jolliffe, Nickolay T. Trendafilov, Steffen Unkel, 2009 .

The Simplified Component Technique: An Alternative to Rotated Principal Components

Ian T. Jolliffe, I. Jolliffe, Mudassir Uddin, 2000 .

Proper Scores for Probability Forecasts Can Never Be Equitable

I. Jolliffe, D. Stephenson, 2008 .

Mathematical and Statistical Properties of Population Principal Components

I. Jolliffe, 1986 .

A simulation study of the use of principal components in linear discriminant analysis

I. Jolliffe, B. Morgan, Philip J Young, 1996 .

Influential observations in principal component analysis:a case study

I. Jolliffe, B. Morgan, P. Pack, 1988 .

Equitability Revisited: Why the ''Equitable Threat Score'' Is Not Equitable

I. Jolliffe, D. Stephenson, R. Hogan, 2010 .

Uncertainty and Inference for Verification Measures

I. Jolliffe, 2007 .

Independent Component Analysis for Three-Way Data With an Application From Atmospheric Science

Ian T. Jolliffe, Nickolay T. Trendafilov, Steffen Unkel, 2011 .

PRINCIPAL COMPONENT ANALYSIS: A BEGINNER'S GUIDE — I. Introduction and application

Ian T. Jolliffe, I. Jolliffe, 1990 .

Introduction to Multiple Time Series Analysis

Ian T. Jolliffe, I. Jolliffe, 1993 .

Behaviour of verification measures for deterministic binary forecasts with respect to random changes and thresholding

Ian T. Jolliffe, Agostino Manzato, I. Jolliffe, 2017 .

Statistical Methods in Diagnostic Medicine

I. Jolliffe, P. Garthwaite, 2003 .

Assessing and reporting the quality of commercial weather forecasts

Ian T. Jolliffe, David B. Stephenson, I. Jolliffe, 2008 .

Combination and Calibration Methods for Probabilistic Forecasts of Binary Events

I. Jolliffe, D. Stephenson, C. Ferro, 2008 .

Principal Component Analysis

Ian T. Jolliffe, I. Jolliffe, 1986, Springer Series in Statistics.

Rotation of ill-defined principal components

Ian T. Jolliffe, I. Jolliffe, 1989 .

Influence in Correspondence Analysis

Ian T. Jolliffe, I. Jolliffe, P. Pack, 1992 .

Canonical Correspondence Analysis

I. Jolliffe, T. Ringrose, 2004 .

Seasonality of type 1 diabetes mellitus in children and its modification by weekends and holidays: retrospective observational study

I. Jolliffe, J. Mooney, P. Helms, 2004, Archives of Disease in Childhood.

Comments on “H. L. Wagner’s Unbiased Hit Rate and the Assessment of Categorical Forecasting Accuracy”

I. Jolliffe, D. Stephenson, 2014 .

Benchmarking the performance of homogenization algorithms on synthetic daily temperature data

I. Jolliffe, R. Killick, K. Willett, 2021, International Journal of Climatology.

RESEARCH ARTICLE A clustering approach to interpretable principal components

I. Jolliffe, N. Trendafilov, D. Enki, 2012 .

Statistical Methods in Diagnostic Medicine

I. Jolliffe, P. Garthwaite, 2003 .

A User's Guide to Principal Components.

J. Edward Jackson, John L. Lastovicka, J. E. Jackson, 1991 .

A framework for benchmarking of homogenisation algorithm performance on the global scale

Claude N. Williams, I. Jolliffe, R. Lund, 2014 .

Seasonality, but not prevalence of sudden infant death syndrome varies by region in mainland Britain.

I. Jolliffe, A. S. Douglas, P. Helms, 1999, The European respiratory journal.

Mathematical and Statistical Properties of Sample Principal Components

I. Jolliffe, 1986 .

Canonical Correspondence Analysis

I. Jolliffe, T. Ringrose, 2004 .

SIZE- AND SHAPE-RELATED PRINCIPAL COMPONENT ANALYSIS

I. Jolliffe, J. Cadima, 1996 .

Fitting mixtures of von Mises distributions: a case study involving sudden infant death syndrome

Ian T. Jolliffe, Jennifer A. Mooney, Peter J. Helms, 2003, Comput. Stat. Data Anal..

Seasonal variation in sudden infant death syndrome and bronchiolitis--a common mechanism?

I. Jolliffe, A. S. Douglas, P. Helms, 1996, American journal of respiratory and critical care medicine.

A Method for Comparing Two Hierarchical Clusterings: Comment

Ian T. Jolliffe, Bryon J. T. Morgan, I. Jolliffe, 1983 .

Principal Component Analysis for Special Types of Data

Ian T. Jolliffe, I. Jolliffe, 1986 .

Choosing a Subset of Principal Components or Variables

I. T. Jolliffe, I. Jolliffe, 1986 .

Does the North Atlantic current affect spatial distribution of whiting? Testing environmental hypotheses using statistical and GIS techniques

Ian T. Jolliffe, David G. Reid, Graham J. Pierce, 2002 .

DALASS: Variable selection in discriminant analysis via the LASSO

Ian T. Jolliffe, Nickolay T. Trendafilov, I. Jolliffe, 2007, Comput. Stat. Data Anal..

A Cautionary Note on Artificial Examples of EOFs

Ian T. Jolliffe, I. Jolliffe, 2003 .

Principal component analysis applied to harbour porpoise fatty acid data

Nickolay T. Trendafilov, Alain F. Zuur, Graham M. Smith, 2007 .

A comparison of multivariate outlier detection methods for clinical laboratory safety data

Kay I Penny, Ian T. Jolliffe, I. Jolliffe, 2001 .

Empirical orthogonal functions and related techniques in atmospheric science: A review

Ian T. Jolliffe, David B. Stephenson, Abdel Hannachi, 2007 .

Seasonality of sudden infant death syndrome in mainland Britain and Ireland 1985–95

I T Jolliffe, I. Jolliffe, A. S. Douglas, 1998, Archives of disease in childhood.

Modelling seasonally varying data: A case study for Sudden Infant Death Syndrome (SIDS)

I. Jolliffe, J. Mooney, P. Helms, 2006 .

Calibration of Probabilistic Forecasts of Binary Events

Ian T. Jolliffe, David B. Stephenson, Christopher A. T. Ferro, 2009 .

Discarding Variables in a Principal Component Analysis. I: Artificial Data

Ian T. Jolliffe, I. Jolliffe, 1972 .

In search of simple structures in climate: simplifying EOFs

I. Jolliffe, N. Trendafilov, D. Stephenson, 2006 .

Early detection of the start of the wet season in semiarid tropical climates of western Africa

I. Jolliffe, Doris E.S. Dodd, 2001 .

Early detection of the start of the wet season in tropical climates

I. Jolliffe, Doris E. Sarria‐dodd, 1994 .

Principal Components as a Small Number of Interpretable Variables: Some Examples

I. T. Jolliffe, I. Jolliffe, 1986 .

Analysis of Climate Variability. Applications of Statistical Techniques

I. T. Jolliffe, I. Jolliffe, 1997 .

Classifications of the elderly population

I. Jolliffe, B. Morgan, M. Knapp, 1982, Ageing and Society.

Estimating common trends in multivariate time series using dynamic factor analysis

Ian T. Jolliffe, Alain F. Zuur, R. J. Fryer, 2003 .

Principal component analysis: A beginner's guide — II. Pitfalls, myths and extensions

Ian T. Jolliffe, I. Jolliffe, 1993 .

Projected gradient approach to the numerical solution of the SCoTLASS

Ian T. Jolliffe, Nickolay T. Trendafilov, I. Jolliffe, 2006, Comput. Stat. Data Anal..

The influence of a single observation on some standard test statistics

I. Jolliffe, Stephen G. Lukudu, 1993 .

Comparison of Variety Means Using Cluster Analysis and Dendrograms

I. Jolliffe, B. Christie, O. B. Allen, 1989, Experimental Agriculture.

Simplified EOFs - three alternatives to rotation

Ian T. Jolliffe, I. Jolliffe, Mudassir Uddin, 2002 .

Springer series in statistics

I. T. Jolliffe, Ahmed Abdel-Wahab, I. Jolliffe, 1986 .

Spatial Weighting and Iterative Projection Methods for EOFs

Ian T. Jolliffe, David B. Stephenson, Mark P. Baldwin, 2009 .

Factor Analysis, Overview

I. Jolliffe, 2005 .

Variable selection and interpretation in canonical correlation analysis

I. Jolliffe, N. Al-Kandari, 1997 .

Rotation of principal components: Some comments

Ian T. Jolliffe, I. Jolliffe, 1987 .

Graphical Representation of Data Using Principal Components

Ian T. Jolliffe, I. Jolliffe, 1986 .

Quasi‐periodic meteorological series and second‐order autoregressive processes

I. Jolliffe, 1983 .

Generalizations and Adaptations of Principal Component Analysis

I. T. Jolliffe, I. Jolliffe, 1986 .

Variable selection and interpretation in correlation principal components

Ian T. Jolliffe, Noriah M. Al-Kandari, I. Jolliffe, 2005 .

A 50-year personal journey through time with principal component analysis

Ian Jolliffe, I. Jolliffe, 2021, J. Multivar. Anal..

Multivariate outlier detection applied to multiply imputed laboratory data.

K I Penny, I T Jolliffe, I. Jolliffe, 1999, Statistics in medicine.

Evaluating Rank Histograms Using Decompositions of the Chi-Square Test Statistic

Ian T. Jolliffe, Cristina Primo, I. Jolliffe, 2008 .

Comparison of Cluster Analyses of the English Personal Social Services Authorities

Byron J. T. Morgan, Ian T. Jolliffe, I. Jolliffe, 1986 .

P stands for …

Ian T. Jolliffe, I. Jolliffe, 2004 .

Assessment of descriptive weather forecasts

I. Jolliffe, N. Jolliffe, 1997 .

Concepts for benchmarking of homogenisation algorithm performance on the global scale

Ian T. Jolliffe, David I. Berry, G. Lopardo, 2014 .

Use of generalized additive modelling techniques to create synthetic daily temperature networks for benchmarking homogenization algorithms

Ian T. Jolliffe, Kate M. Willett, Rachel E Killick, 2018 .

Forecast verification : a practitioner's guide in atmospheric science

I. Jolliffe, David B. Stephenson, 2011 .

Sample Sizes and the Central Limit Theorem: The Poisson Distribution as an Illustration

Ian T. Jolliffe, I. Jolliffe, 1995 .

Modelling memory in coal tits: an illustration of the EM algorithm.

I T Jolliffe, A R Jolliffe, I. Jolliffe, 1997, Biometrics.

Principal Component Analysis

I. Jolliffe, A. Smilde, Rasmus Bro, 2009, Encyclopedia of Biometrics.

Principal Component Analysis

I. Jolliffe, 2002 .

Identifying influential observations in hierarchical cluster analysis

Byron J. T. Morgan, Ian T. Jolliffe, I. Jolliffe, 1995 .

Comments on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds

Ian T. Jolliffe, I. Jolliffe, 2008 .

Equitability Revisited: Why the ''Equitable Threat Score'' Is Not Equitable

I. Jolliffe, D. Stephenson, R. Hogan, 2010 .

Time series modelling of surface pressure data

Ian T. Jolliffe, I. Jolliffe, S. Al-Awadhi, 1998 .

Principal Components Used with Other Multivariate Techniques

I. Jolliffe, 1986 .

Epilogue: New Directions in Forecast Verification

Ian T. Jolliffe, David B. Stephenson, I. Jolliffe, 2012 .

VARIABLE SELECTION AND INTERPRETATION OF COVARIANCE PRINCIPAL COMPONENTS

Ian T. Jolliffe, Noriah M. Al-Kandari, I. Jolliffe, 2001 .

Nonlinear Multivariate Analysis

I. Jolliffe, A. Gifi, A. Gifi, 1992 .

Statistical Methods for the Analysis of Biomedical Data

I. Jolliffe, P. Garthwaite, 2003 .