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TZID:Pacific/Auckland
X-LIC-LOCATION:Pacific/Auckland
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DTSTART:19700927T020000
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TZNAME:NZDT
TZOFFSETFROM:+1200
TZOFFSETTO:+1300
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DTSTART:19700405T030000
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BEGIN:VEVENT
CATEGORIES:SMS Seminars
CONTACT:Estate Khmaladze\, Professor Emeritus
DESCRIPTION:The talk represents part of the material from the speaker's joi
 nt work with Sara Algeri (U.Minnesota).\nThe talk could have been called `
 `Statistical analysis of large number of infrequent events"\, or ``On theo
 ry of Poisson regression"\, or ``When Pearson's chi^2 is not a goodness of
  fit test". Whatever it is called\, it is clear we will start with well tr
 odden topic of statistics - and if we think\, as the speaker did\, that we
  have enough knowledge about the phenomena there\, or enough intuition abo
 ut the subject\, we may be not entirely correct.\n\nThe talk is our attemp
 t to say something useful for everyday statistical work. The key words are
 :\n\ndivisible statistics\, fine partitioning\, large number of groups (or
  urns\, boxes\, pixels\, etc.)\, contiguous alternatives\, useless parts o
 f useful tests\, real astronomical data\, testing uniformity\, spectral st
 atistics\, statistics of empty boxes.\n\nSara Algeri\, Estate V. Khmaladze
  (2026)\, On the statistical analysis of grouped data: when Pearson chi^2 
 and other divisible statistics are not goodness-of-fit\, JRSS B\, Septembe
 r 26\, online - 23 June 2026.
DTEND;TZID=Pacific/Auckland:20260730T140000
DTSTAMP:20260713T080949Z
DTSTART;TZID=Pacific/Auckland:20260730T130000
LOCATION:Cotton 431
ORGANIZER:Estate Khmaladze\, Professor Emeritus
SUMMARY:Estate Khmaladze\, Professor Emeritus - On statistical analysis of 
 grouped data
UID:seminar_sms1034_20260708142720
URL:
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