Mathematics, 18.08.2019 20:30 keke6361

Explain, why in a real machine the output work is always less than the input work.

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Mathematics, 22.06.2019 01:30, zitterkoph

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Mathematics, 22.06.2019 02:50, destineyburger2

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Mathematics, 22.06.2019 04:30, glocurlsprinces

Consider the linear model for a two-stage nested design with b nested in a as given below. yijk=\small \mu + \small \taui + \small \betaj(i) + \small \varepsilon(ij)k , for i=1,; j= ; k=1, assumption: \small \varepsilon(ij)k ~ iid n (0, \small \sigma2) ; \small \taui ~ iid n(0, \small \sigmat2 ); \tiny \sum_{j=1}^{b} \small \betaj(i) =0; \small \varepsilon(ij)k and \small \taui are independent. using only the given information, derive the least square estimator of \small \betaj(i) using the appropriate constraints (sum to zero constraints) and derive e(msb(a) ).

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Explain, why in a real machine the output work is always less than the input work....