The validity of joint or simultaneous confidence intervals for the expected value of Y when $x = x _ { 1 } ^ { + } , x _ { 2 } ^ { + } , \ldots . , x _ { k } ^ { +}$ rests on a probability result called the __________ inequality, so the joint confidence intervals are referred to as __________ intervals.

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The Answer of The validity of joint or simultaneous confidence intervals for the expected value of Y when $x = x _ { 1 } ^ { + } , x _ { 2 } ^ { + } , \ldots . , x _ { k } ^ { +}$ rests on a probability result called the __________ inequality, so the joint confidence intervals are referred to as __________ intervals.

The Validity of Joint or Simultaneous Confidence Intervals for the Expected