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Keywords:
fuzzy random variable; quadratic form; linearly negative quadrant dependence; law of large numbers; almost surely convergence
fuzzy random variable; quadratic form; linearly negative quadrant dependence; law of large numbers; almost surely convergence
Summary:
Some maximal inequalities for quadratic forms of independent and linearly negative quadrant dependent fuzzy random variables are established. Strong convergence of such quadratic forms are proved based on the martingale theory. A weak law of large numbers for linearly negative quadrant dependent fuzzy random variables is stated and proved.
References:
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