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MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS. MOMENT GENERATING FUNCTION. The m.g.f. of random variable X is defined as. for t ? (-h,h) for some h>0. Properties of m.g.f. M(0)=E[1]=1 If a r.v. X has m.g.f. M(t), then Y=aX+b has a m.g.f.

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724 views • 54 slides
MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS. MOMENT GENERATING FUNCTION. The m.g.f. of random variable X is defined as. for t ? (-h,h) for some h>0. Properties of m.g.f. M(0)=E[1]=1 If a r.v. X has m.g.f. M(t), then Y=aX+b has a m.g.f.

★ ★ ★ ★ ★

1.24k views • 54 slides
MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS. MOMENT GENERATING FUNCTION. The m.g.f. of random variable X is defined as. for t ? (-h,h) for some h>0. Properties of m.g.f. M(0)=E[1]=1 If a r.v. X has m.g.f. M(t), then Y=aX+b has a m.g.f.

★ ★ ★ ★ ★

548 views • 54 slides
MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS. MOMENT GENERATING FUNCTION. The m.g.f. of random variable X is defined as. for t ? (-h,h) for some h>0. Properties of m.g.f. M(0)=E[1]=1 If a r.v. X has m.g.f. M(t), then Y=aX+b has a m.g.f.

★ ★ ★ ★ ★

1.04k views • 49 slides
MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS

MOMENT GENERATING FUNCTION AND STATISTICAL DISTRIBUTIONS. MOMENT GENERATING FUNCTION. The m.g.f. of random variable X is defined as. for t ? (-h,h) for some h>0. Properties of m.g.f. M(0)=E[1]=1 If a r.v. X has m.g.f. M(t), then Y=aX+b has a m.g.f.

★ ★ ★ ★ ★

541 views • 49 slides

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