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There is no more striking fact in the history of international
relations than that so serious a question should have been treated
with such amateurish simplicity as has been the case in the plans
for armament reduction." J.T. Shot well "Disarmament should be
viewed as a process of creating conditions which make it difficult
or impossible for nations to break or endanger the peace not as a
bargaining process to reduce the cost of preparing for war." -
Benjamin V. Cohen. The havoc caused by the two world wars convinced
the people all over the world that if humanity is to be saved from
complete annihilation, something should be done to reduce or limit
certain or all types of armaments. Commenting on the need of
disarmament Dr. Gerald Wendt' Observed; "If world war-III comes
which we pray will never happen, it will be a war in which most
people may die from silent, insidious anti-human weapons that make
no sound, give no warning, destroy no forests or ships or cities
but can wipe out human beings by the millions."
In this some new estimation methods and testing procedures for the
linear regression models with heteroscedastic disturbances. A
Minimum Norm Quadratic Unbiased (MINQU) estimation method has been
developed for estimating the unknown heteroscedastic error
variances by using the weighted studentized residuals. A
multiplicative heteroscedastic linear regression model has been
specified and a method of estimating the parameters of linear
regression model along with the in the heteroscedastic error
variance has been given by using the predicted residuals. Three
types of modified estimators have been proposed for the parameter
of multiplicative heteroscedastic error variance by using
internally studentized residuals.an adaptive method of estimation
has been suggested to estimate the heteroscedastic error variances
based on Bartlett's test by using the internally studentized
residuals. Besides these new estimation methods, the testing
procedures for testing the equality between the regression
coefficients in two/sets of linear regression models under
heteroscedasticity have been suggested by using the studentized
residuals.
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