Russians have made a lot of contribution in probability, stochastic & functional analysis as it relates to statistics.
Indian have contributed much in Inferential Statistics.
American have contributed immensely in almost all areas.
Do we give it to the Americans?
Your thoughts.
Lovely day!!!
In this blog are some facts you hardly see on regular newspaper columns, magazines or even educational materials.
Tuesday, May 1, 2012
Men may soon outlive women
Women have had a longer life expectancy than men, ever since records
began, but this may be set to change in the not-too-distant future.
An adviser to the Office for National Statistics (ONS) has predicted that by the time today's 12-year-old boys reach the age of 30, they should be able to enjoy a life expectancy of just over 87 years.
This means they will be matching the life expectancy of their female counterparts or the first time.
And they may even outlive females born at the same time soon after, according to Professor Leslie Mayhew, a statistician at City University, London.
Professor Mayhew believes that men's increasingly healthy lifestyles, falling smoking rates and decreasing number of deaths from heart attacks will bring their life expectancy in line with that of women.
In an interview with the Sunday Times, he said: 'There has been a huge decline in the numbers working in heavy industry, far fewer males smoke than before and there is much better treatment for heart disease, which tends to affect more males than females.'
Figures from the British Heart Foundation show that one in five male deaths and one in eight female deaths in 2009 were from coronary heart disease.
Source: www.netdoctor.co.uk
An adviser to the Office for National Statistics (ONS) has predicted that by the time today's 12-year-old boys reach the age of 30, they should be able to enjoy a life expectancy of just over 87 years.
This means they will be matching the life expectancy of their female counterparts or the first time.
And they may even outlive females born at the same time soon after, according to Professor Leslie Mayhew, a statistician at City University, London.
Professor Mayhew believes that men's increasingly healthy lifestyles, falling smoking rates and decreasing number of deaths from heart attacks will bring their life expectancy in line with that of women.
In an interview with the Sunday Times, he said: 'There has been a huge decline in the numbers working in heavy industry, far fewer males smoke than before and there is much better treatment for heart disease, which tends to affect more males than females.'
Figures from the British Heart Foundation show that one in five male deaths and one in eight female deaths in 2009 were from coronary heart disease.
Source: www.netdoctor.co.uk
Who is the Father of Modern Statistics?
A) Sir Ronald Fisher
B) Rao Calyampudi Radharikrishnan
C) David Blackwell
D) Others
Note: The options above are the author's point of view there are many distinguished Statisticians around the World too many to mention.
B) Rao Calyampudi Radharikrishnan
C) David Blackwell
D) Others
Note: The options above are the author's point of view there are many distinguished Statisticians around the World too many to mention.
Research Paper: A COMPARATIVE STUDY OF ACTUAL VALUE AND ESTIMATED MISSING VALUE IN SOME ORTHOGONAL BLOCK DESIGNS
A
COMPARATIVE STUDY OF ACTUAL VALUE AND ESTIMATED MISSING VALUE IN SOME ORTHOGONAL BLOCK
DESIGNS
A.
V. Oladugba and C. E. Ogbonnaya
Department
of Statistics
University
of Nigeria, Nsukka
ABSTRACT
The
purpose of this work is to find out if the same conclusion will be reached when
“actual value” and “estimated missing value” of some orthogonal block designs
are compared using three imputation of estimating missing value methods (the
mean method, least squares method and regression imputation method), and also
to see if there is any significant difference in the three imputation methods
chosen. Estimation of missing values using these imputation methods do not void
the result obtained from statistical analysis since the conclusion reached
using any imputation method agrees with the conclusion reached using the
complete data. From the result obtained in the significance test, we conclude
that the difference in estimates for missing observations obtained using the
mean method, least squares method and regression imputation is not significant.
This implies that the difference in estimates obtained using the three methods
are ignorable.
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