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'''Conclusion'''
 
'''Conclusion'''
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[[File:Mathproj3.jpg|thumbnail]]
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In conclusion, Fishers Information tells us how much information about an unknown parameter that we can get from a sample. This key concept plays a major role in many areas of statistics, including Frequentist Statistics and Bayesian Statistics. There is still much to be learned about the field of statistics, so if you wish to learn more on this topic, check out the sources page.
 
In conclusion, Fishers Information tells us how much information about an unknown parameter that we can get from a sample. This key concept plays a major role in many areas of statistics, including Frequentist Statistics and Bayesian Statistics. There is still much to be learned about the field of statistics, so if you wish to learn more on this topic, check out the sources page.

Revision as of 22:05, 6 December 2020

Conclusion


Mathproj3.jpg


In conclusion, Fishers Information tells us how much information about an unknown parameter that we can get from a sample. This key concept plays a major role in many areas of statistics, including Frequentist Statistics and Bayesian Statistics. There is still much to be learned about the field of statistics, so if you wish to learn more on this topic, check out the sources page.



Back To Fisher information

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang