Homepage of Andrew J. Baczkowski

Roseberry Topping to the North West of where I am stood

Contact details:
Work address: Room 11-13, Department of Statistics, University of Leeds, Leeds LS2 9JT
Work telephone: +44-(0)113-3435156
Work email address: sta6ajb @ leeds.ac.uk

Photograph on right shows just TWO interesting things: Roseberry Topping and the boundary stone on Great Ayton Moor inscribed "T.L. 1927 D.A.M. 14".
Click here for additional photograph of a snow cat!
Click here for additional photograph showing two sheep near Grinton Lead Mill! Can you spot them?

Teaching 2018-2020

Linear Regression and Robustness MATH3714, 15 credits, semester 1. Students' page
Linear Regression, Robustness and Smoothing MATH5714M, 20 credits, semester 1. Students' page

Teaching 2016-2018

Statistical Methods MATH2715, 10 credits, semester 1. Students' page

Tutorials 2018-2019

Probability and Statistics I MATH1710, 10 credits, semester 1. Students' page for my tutees

MSc Information

Induction week MSc
Module choice slides for MSc.

MSc R introductory course
MSc R course exercises
Introductory handout slides for MSc students.
Introductory handout for MSc students.
Further documentation (including videos) is available from Dr Gusnanto's web-page located at: Dr Gusnanto's web-page with further information and videos.

Introductory MSc Lectures
Slides for lecture 1.
Slides for lecture 2.
Slides for lecture 3.
Slides for lecture 4.
Intoductory course.
Choice of Bayesian prior.

Administration 2019-2020

Department of Statistics Joint Honours Co-ordinator: Information for JHS students.
School of Mathematics Academic Integrity Officer Academic integrity slides 2021. Academic integrity talk.

Recent publications

2005. Bayesian Estimation of a Generalized Diversity Index. 25th European Meeting of Statisticians poster presentation. Click here to view paper.
2004. A randomised controlled trial of immunosuppression conversion for the treatment of chronic allograft nephropathy. (With J.Stoves, C.G.Newstead, G.Owens, M.Paraoan, A.Hammad.) Nephrology Dialysis Transplantation, v.19, 2113-2120.
2004. Postkarten aus Seoul. Stochastik in der Schule, v.24, 8-11. (Translation by Karl Rottel of "Wish you were here: postcards from Seoul".) Click here to view paper.
2003. Wish you were here: postcards from Seoul. Teaching Statistics, v.25, 46-48.
2001. A generalized diversity index. Bulletin of the International Statistical Institute, 53rd session: contributed papers, tome LIX, book 3, 109-110. ISBN 90-73592-20-8.
2001. Prognostic factors influencing survival of diabetic patients following initiation of renal replacement therapy. (With J.Stoves and J.H.Turney.) Nephrology, v.6, 79-84.
2000. The distribution of a generalized diversity index due to Good. (With D.N.Joanes and G.Shamia.) Environmental and Ecological Statistics, v.7, 329-342.
1998. Piece-wise detection of spinal scoliosis. (With X.Feng.) Editors: R.Payne and P.Green. COMPSTAT, Proceedings in Computational Statistics, 13th Symposium, p.167-172 Heidelberg, Physica-Verlag, ISBN 3790811319.
1998. Range of validity of α and β for a generalized diversity index H(α,β) due to Good. (With D.N.Joanes and G.Shamia.) Mathematical Bioscience, v.148-issue 2, 115-128.
1997. Properties of a generalized diversity index. (With D.N.Joanes and G.M.Shamia.) Journal of Theoretical Biology, v.188, p.207-213.
1997. Statistical methods for automatic interpretation of digitally scanned finger prints. (With K.V.Mardia, X.Feng, and T.J.Hainsworth.) Pattern Recognition Letters, v.18, 1197-1203.
1997. Automatic interpretation of the orientation field of fingerprints. (With K.V.Mardia, X.Feng, and T.J.Hainsworth.) Editors: K.V.Mardia, C.A. Gill, and R.G.Aykroyd. Proceedings in the Art and Science of Bayesian Image Analysis, p.219-220, Leeds, Leeds University Press, ISBN 085316178X.

Recent departmental reports

Some of these reports are downloadable .pdf files. If you don't have Adobe Acrobat reader then you can download a free copy from Adobe Systems.

STAT 02/06. A nephrology study: final report. [1.34 MB] Final report of a medical consultancy problem.
STAT 01/11. Statistical analysis of a postal data set. [190 KB] Analysis of delivery time for 73 postcards sent to my home address from Seoul during the recent ISI Statistics conference.
STAT 01/10. A nephrology study: interim report.
STAT 01/01. Effect of pooling species on Good's generalized diversity index. [114 KB] (With D.N.Joanes and G.M.Shamia.)
STAT 00/11. Statistical analysis of a road network problem.
STAT 00/10. The broken-stick model for species abundances: an initial investigation.
STAT 00/09. On maximum likelihood estimation for truncated lognormal distribution.
STAT 00/01. Analysis of some survival data III.
STAT 98/11. Applications of Good's generalized diversity index [294 KB] Applications include one and two sample tests of the diversity index.
STAT 98/01. Further analysis of survival data for some diabetic patients.
STAT 97/24. A review of potential adverse effects of antenatal ultrasonography [122 KB] Reviews articles about ultrasonography in the medical literature during the period 1990-1997. Not all articles show adverse effects but a surprising number lead one to conclude that ultrasound is neither as harmless nor as useful a diagnostic tool as is often presented.
STAT 97/23. Statistical methods for automatic interpretation of digitally scanned finger prints. [3.2 MB] (With K.V.Mardia, X.Feng, and T.J.Hainsworth.)
STAT 97/20. An analysis of survival data for 96 diabetic patients.
STAT 97/13. The distribution of a generalized diversity index due to Good. (With D.N.Joanes, and G.Shamia.)
STAT 97/12. Statistical methods for automatic interpretation of digitally scanned finger prints. (With K.V.Mardia, X.Feng, and T.J.Hainsworth.)
STAT 97/04. Sugihara's sequential model for species abundances.
STAT 96/18. Moments of a generalized diversity index due to Good.
STAT 96/09. Range of validity of α and β for Good's generalized diversity index H(α,β). (With D.N.Joanes, and G.Shamia.)

Former taught modules

MATH0365 Introduction to Probability and Statistics, 2007/08-2010/11, 2012/13-2016/17, 10 credits, semester 1. Students' page.
MATH1725 Introduction to Statistics, 1995/1996-2014/2015, 10 credits, semester 2. Students' page
MATH1910 Modelling and Investigations, 2010/2011, 10 credits, semester 2. Students' page.
MATH2710 Mathematical Statistics, 2003/2004, 10 credits, semester 1. Students' page.
MATH2715 Statistical Methods, 2004/2005-2006/2007,2011/2012-2017/2018 10 credits, semester 1. Students' page.
MATH2730 Analysis of Experimental Data, 1997/1998-2000/2001, 2002/2003, 10 credits, semester 1. Students' page.
MATH2740 Environmental Statistics, 2015/2016-2017/2018, 10 credits, semester 2. Students' page
MATH2750 Introduction to Markov Processes, 2010/2011 (Tutorial assistance), 10 credits, semester 2. Information about difference equations.
MATH2780 Statistics for the Geophysical Sciences, 2000/2001-2001/2002, 5 credits, semester 1. Students' page.
MATH3802 Time Series, 1999/2000-2007/2008, 10 credits, semester 2. Students' page.
Statistics Project I MATH3752, 15 credits, semester 2.
This is now handled by Professor Veretennikov. Email address: veretenn @ maths.leeds.ac.uk
Statistics Project II MATH3753, 15 credits, semester 1.
This is now handled by Professor Veretennikov. Email address: veretenn @ maths.leeds.ac.uk
Assignment in Mathematics (30 credits) MATH5003, 30 credits, semesters 1 and 2.
This is now handled by Professor Veretennikov. Email address: veretenn @ maths.leeds.ac.uk
Assignment in Mathematics (40 credits) MATH5004, 40 credits, semesters 1 and 2.
This is now handled by Professor Veretennikov. Email address: veretenn @ maths.leeds.ac.uk
MATH5315M Applied Statistics and Probability, 2011-2012, 15 credits, semester 1. Students' page
MATH5745M Multivariate Methods, 2017/2018-2019/2020, 15 credits, semester 2. Students' page
Old module syllabus information
For information about MATH1730, MATH1740, MATH1750 and MATH1830 download syllabuses.
For information about MATH2710 download syllabus.

Miscellaneous

Computer programs for teachers
Currently one executable program is available for primary school teachers. Click here for further information.
Talks for Schools
Ten Ways to Fail a Statistics Module: Statistical analysis of examination results provides ten suggestions to help you fail MATH1725!

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