How do I solve non-linear integration using chi-square and uniform distribution?

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shafieza_garl
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can someone help me to solve this problem.i cannot remember how to solve the non-linear integration.like using chi-square distribution and uniform distribution. which one can i used to solve this integration?
 
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  • Definite integral from 0 to t of alpha times [ -alpha(1 - beta)t + q^(1-beta) ] raised to the power beta/(1-beta), with respect to t.
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Make the substitution [itex]u= -\alpha(1- \beta)t+ q^{1-\beta}[/itex]. Then you will just be integrating constants times u to a constant power.
 
Sorry..i cannot understand completely of the subtitution there.this is what i understand from what u said.if I am wrong.can u explain more detail for me.because after i subtitute,the eq.cannot be integrate too.
 
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  • Handwritten-style derivation of a substitution: u = -α·t + q^(1-β); du = -α(1-β)dt; dt = du / (-α(1-β)); integral of u^(β/(1-β)) / (β-1) du.
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Apply [itex]\displaystyle \int u^c du = \frac {u^{c+1}} {c+1} \color{gray}{ + C}[/itex].
 
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