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For n ∈ N, let (u n, ν , n) be the solution of the following SPDE with lower obstacle () d u t n (x) 1 2 Δ u t n (x) d t f t (x) d t − n (u t n (x) − v ¯ t (x)) d t div g t (x) d t h t (x) ⋅ d B ⃖ t ν , n (d t, x) = 0, u n (t, x) ≥ v ̲ (t, x), ∫ 0 T ∫ R d u ̃ n (t, x) − v ̲ (t, x) ν , n (d t, d x) = 0. Elementary_1TÛÖÍTÛÖÍBOOKMOBI w¼ 0(ì /g 6 = C' I9 Në V * dA jë qE x­ * †Y Œ­ ’«"˜Ö$ b&¦i °~ ¼ñ€ ¼ò‚ ½ê„ ÆÞ† ÎÖˆ ÏÊŠ Ü Œ ýŽ ™ Ÿ’ UÊ” ÉI– "ݘ /úš ✠Þpž #ª x×¢ ¿'¤ Z¦ u¨ ‚hª “߬ Û® "­° 5² Œã´ 0ó¶ a¸ 0ñº læ¼ f0¾. Title nlpanasonicpacipdf Author ygv Created Date 8/31/17 AM Keywords ().

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In this paper, we investigate the problem of estimating the regression function in models with correlated observations The data are obtained from several experimental units, each of them forms a. L G s ̖ C X g f ށA ۈ E w Z ̃C X g f ށA l E q ̃C X g C X g y ݂ ̃C X g f ށz p p \/ HOK g E ӂ ̃C X g/ T C g } b v. N ~ g W Y } X ^ g x H ̏Љ y W ł B.

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