Hermann Otto Hirschfeld Lecture 2006

The Historical Background to Modern Statistics

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Stephen M. Stigler

Department of Statistics
University of Chicago

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October 9 - 10, 2006

Location

Senatssaal
Humboldt-Universität zu Berlin
Hauptgebäude
Unter den Linden 6
D-10117 Berlin

Topics


The twentieth century saw an explosive growth in theory and methodology for the analysis of data. The roots of that growth can be seen in earlier work, and these lectures will outline some of the more important themes in that development. The emphasis will be upon statistics and social science. The topics to be covered are expected to include:


1. Quetelet and social statistics

2. Galton, Edgeworth, Pearson, and early multivariate analysis; aggregation paradoxes

3. Parametric inference, maximum likelihood, and R. A. Fisher

4. Contingency tables and cross-classification of counted data

Schedule

October 9, 2006

October 10, 2006


14:00 - 14:15
14:15 - 15:45
15:45 - 16:15
16:15 - 17:45


Official welcome
Lecture 1
Break
Lecture 2


09:00 - 10:30
10:30 - 11:00
11:00 - 12:30
12:30 - 14:30
14:30 - 16:00


Lecture 3
Break
Lecture 4
Lunch
Lecture 5

Enrollment

We ask anyone wishing to participate to detach the reservation part from the leaflet and send it to us by fax. The participation is free thanks to the sponsoring from the Wirtschaftswissenschaftliche Gesellschaft.

Slides

Download Slides.


CASE - Center for Applied Statistics and Economics
Humboldt-Universität zu Berlin
Wirtschaftswissenschaftliche Fakultät
Spandauer Str. 1
10178 Berlin




Tel: +49(0)30-2093-5630
Fax: +49(0)30-2093-5649
stat@wiwi.hu-berlin.de



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