AbstractTamhankar [2] showed that, under suitable conditions, if X1, …, Xn are independent random variables, then they are normally distributed with zero means and equal variances if and only if R is independent of (Θ1, …, Θn−1), R and Θ1, …, Θn−1 being the corresponding spherical coordinates. It is shown below that if (X1, …, X8) and (X8+1, …, Xn) are two independent random vectors having a continuous joint density function which is nonzero, then X1, …, Xn are independent and normally distributed with zero means and equal variances if and only if for some integer l ∈ {1, …, n−1}, (R, Θ1, …, Θl−1) and (Θl, …, Θn−1) are independent
Let X<SUB>1</SUB>, X<SUB>2</SUB>, ..., X<SUB>n</SUB> be independent random variables. Given the mome...
For some cases it may be permissible to assume that the correlation between each two normal random v...
A 0-1 probability space is a probability space(\Omega ; 2\Omega ; P ), where the sample space\Ome...
AbstractTamhankar [2] showed that, under suitable conditions, if X1, …, Xn are independent random va...
Let X be a random vector on and let R = [short parallel]X[short parallel] and for R [not equal to] 0...
AbstractIf W and Z are independent random vectors and Y1, Y2, …, Yn are the result of a transformati...
AbstractA classic result in probability theory states that two independent real-valued random variab...
AbstractIt is known that if the statistic Y = Σj=1n(Xj + aj)2 is drawn from a population which is di...
AbstractIf W and Z are independent random vectors and Y1, Y2, …, Yn are the result of a transformati...
AbstractLet Xj (j = 1,…,n) be i.i.d. random variables, and let Y′ = (Y1,…,Ym) and X′ = (X1,…,Xn) be ...
It is well known (see [2], p. 158) that if X and Y are independent random variables with a continuou...
AbstractIt is the purpose of this note to provide a direct proof of the fact that, when X and Y are ...
Let Z1,Z2 and W1,W2 be mutually independent random variables, each Zi following the standard normal ...
International audienceIn this paper, we find an expression for the density of the sum of two indepen...
International audienceIn this paper, we find an expression for the density of the sum of two indepen...
Let X<SUB>1</SUB>, X<SUB>2</SUB>, ..., X<SUB>n</SUB> be independent random variables. Given the mome...
For some cases it may be permissible to assume that the correlation between each two normal random v...
A 0-1 probability space is a probability space(\Omega ; 2\Omega ; P ), where the sample space\Ome...
AbstractTamhankar [2] showed that, under suitable conditions, if X1, …, Xn are independent random va...
Let X be a random vector on and let R = [short parallel]X[short parallel] and for R [not equal to] 0...
AbstractIf W and Z are independent random vectors and Y1, Y2, …, Yn are the result of a transformati...
AbstractA classic result in probability theory states that two independent real-valued random variab...
AbstractIt is known that if the statistic Y = Σj=1n(Xj + aj)2 is drawn from a population which is di...
AbstractIf W and Z are independent random vectors and Y1, Y2, …, Yn are the result of a transformati...
AbstractLet Xj (j = 1,…,n) be i.i.d. random variables, and let Y′ = (Y1,…,Ym) and X′ = (X1,…,Xn) be ...
It is well known (see [2], p. 158) that if X and Y are independent random variables with a continuou...
AbstractIt is the purpose of this note to provide a direct proof of the fact that, when X and Y are ...
Let Z1,Z2 and W1,W2 be mutually independent random variables, each Zi following the standard normal ...
International audienceIn this paper, we find an expression for the density of the sum of two indepen...
International audienceIn this paper, we find an expression for the density of the sum of two indepen...
Let X<SUB>1</SUB>, X<SUB>2</SUB>, ..., X<SUB>n</SUB> be independent random variables. Given the mome...
For some cases it may be permissible to assume that the correlation between each two normal random v...
A 0-1 probability space is a probability space(\Omega ; 2\Omega ; P ), where the sample space\Ome...