Serie II numero 81 - Dipartimento di Matematica e Informatica

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192 L. HEINRICH © ¥ §© §¥ ¥ ¥§ ∗ χ(C) =1 C = ∅ χ(∅) =0 §© ¥ §¥§ ¥ §©§ i1,...,id−k ≥ 1 Ψ (d) k (Kϱ) ¥§§© ¥ k− § Φ (d) ©§§¥ λ,Θ Kϱ §© ¥ §© §§ k− Kϱ © ζ (d) k (Kϱ) §§¥¥¥ §§ §¥ §£§£¥§£§£§© © ¥ ¦ ¥§©§§¥ ¥ ϱ →∞ IR 1 × S d−1 + § ¥ ¥¥ ¥ Ψ ¥¨§© § 1 ¥¥ IR §§¥ ¥ ¥¨ ¥ §£ §¥§© §¦ §© ¥§ ¥ § ¥ ¥ ¥§§¥ §© N(Kϱ) =#{i ≥ 1:H(Pi,Vi) ∩ Kϱ = ∅} = χ(H(Pi,Vi) ∩ Kϱ) © ¥©§§¥ Kϱ N(Kϱ) =n §© ¥ § X (ϱ) i = (Pi,Vi) i =1,...,n £ ¥§¥¥¥¥ § ¥ ¥ N(Kϱ) § ¥ § §§ ¤¤¡ §©¥§§¥ ¥¥ Q (ϱ) Θ (·) ©©¥ B ∈ B1 ¥ S ∈ Bd ∩ S d−1 + © Q (ϱ) Θ (B × S) = 1 bΘ(K) bΘ(K) = IR 1 S d−1 + § § Xi = X (1) ¥ §§©§§¥ i (1) Q Θ Ψ (d) k (Kϱ) ζ (d) k (Kϱ) d = d = B S i≥1 χ(H(ϱ −1 p, v) ∩ K) Θ(dv)dp, χ(H(p, v) ∩ K) Θ(dv)dp. ¦ i =1, 2,... ¥§ §©¥ ¥§ £© § X0 (·) 1≤i1
CENTRAL LIMIT THEOREMS FOR MOTION-INVARIANT POISSON HYPERPLANES, .. 193 EN(Kϱ) =E χ(H(Pi,Vi) ∩ Kϱ) =λϱbΘ(K) . i≥1 bΘ(K) = ¥§ £© ¥¨¥ ¦¥¨ §§¥ bΘ(K) S d−1 + © hK(v) = maxx∈K 〈v, x〉 hK(v)+hK(−v) Θ(dv) , ¥§§© ¡ £§© ¥ £©§ §¥ ¥ K hK(v) £ § §© §¥ § ©¥ §©§ ¥ ¥§ § §© §© ¥ u £© ¥ ¥§§ §¥ ©§ §© §©¥¨ bΘ(K) § §©§§¥ K Θ(·) λ,Θ ¤ §© Φ (d) b(K) K §¥ ¥ ¥§ ¡ §©¥ Θ(·) =U(·) bU(K) ¥ ¢ ©© ¥¥ ¥§ §© §© §£¦¡¥ §¦£¦ §¥ £¦¡¨§ ©¥§¥ ¥ ¥§ (d) ¤¦¥©§§ Φ ¤¦¥ §© §© §¥ ¥§¥ §§¥ £ ¥ λ,U §§§¥ £¢ ¤ ¦¥§ ¢ ©© ¥ §§¥£ S d−1 + IR 1 V (d) k (H(p, v) ∩ K)dpU(dv) = κd−1 dκd (k +1)κk+1 κk V (d) k+1 (K) © (d) k =0, 1,...,d−1 V k (K) §© ¢ §© k− §©¥ ©§ d ¥£¦¡¨§ £©§ §¥ K ⊂ IR ¥ ¥§¥¥¥ ¥§¥¥ ¥ §© ¥¥ ¨ ¨© ¢ νd(K + B d r )= d k=0 r d−k κd−k V (d) k (K) r ≥ 0 . §¥ £©¥ ¥¥§ §© ¥ ¢ K (d) W k (K) d (d) W k (K) =κk V (d) k V (d) 0 (K) =χ(K) ,V (d) 1 (K) = dκd 2 κd−1 © d−k (K) k =0, 1,...,d− 1 ¢¡§ b(K) ,V (d) d−1 (K) =1 2 νd−1(∂K) ,
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VIIth International Conference in
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D I R E Z I O N E E R E D A Z I O N
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CONFERENCE DATA Messina, 22 nd - 24
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Prof. Marius I. Stoka
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Contents Preface Barilla D. - Leona
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RENDICONTI RISKDEL ANALYSIS CIRCOLO
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RISK ANALYSIS OF HAZARDOUS MATERIAL
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30 U. BÄSEL We assume min(a, b)
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32 U. BÄSEL For (x, y) ∈F5, weha
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34 U. BÄSEL E(X k n | (x, y)) is t
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36 U. BÄSEL The sum of the integra
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38 U. BÄSEL References [1] Stoka,
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40 V. BONANZINGA - L. SORRENTI 2a M
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42 V. BONANZINGA - L. SORRENTI (6)
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44 V. BONANZINGA - L. SORRENTI Then
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46 V. BONANZINGA - L. SORRENTI
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48 V. BONANZINGA - L. SORRENTI R(L,
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50 V. BONANZINGA - L. SORRENTI Theo
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52 V. BONANZINGA - L. SORRENTI (17)
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RENDICONTI DEL CIRCOLO ON ESTIMATIO
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ON ESTIMATION OF THE SUPPORT IN MET
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RENDICONTI GEOMETRICAL DEL CIRCOLO
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GEOMETRICAL PROBABILITIES USING THE
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RENDICONTI DEL CIRCOLO RANDOM MATEM
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RANDOM LATTICE IN THE EUCLIDEAN SPA
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ÇÆD(−4)ÆD(8)ÌÊÁÈÄËÊÇÅ
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ÇÆD(−4)ÆD(8)ÌÊÁÈÄË ÄØ
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ÇÆD(−4)ÆD(8)ÌÊÁÈÄË ON D
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ÇÆD(−4)ÆD(8)ÌÊÁÈÄË ON D
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ÇÆD(−4)ÆD(8)ÌÊÁÈÄË TγÒ
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ÇÆD(−4)ÆD(8)ÌÊÁÈÄË ON D(
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86 S. CHIRICOSTA Davanti a questo i
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88 S. CHIRICOSTA che consente alle
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90 S. CHIRICOSTA certamente, costit
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92 S. CHIRICOSTA mezzo di batteri a
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94 S. CHIRICOSTA assicurare il mant
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RENDICONTI VALORIZZAZIONE DEL CIRCO
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VALORIZZAZIONE E DIFFUSIONE DELLA F
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RENDICONTI CONTINGENT DEL CIRCOLO V
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CONTINGENT VALUATION E STIMA DELLA
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122 F. CORRIERE - D. LO BOSCO 1 The
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124 F. CORRIERE - D. LO BOSCO expon
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126 F. CORRIERE - D. LO BOSCO • 6
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128 F. CORRIERE - D. LO BOSCO predi
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130 F. CORRIERE - D. LO BOSCO The d
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132 I. CZINKOTA - B. KERTÉSZ - A.
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Page 132 and 133: 140 I. CZINKOTA - B. KERTÉSZ - A.
Page 134 and 135: 142 A. DUMA - S. RIZZO Come cellula
Page 136 and 137: 144 A. DUMA - S. RIZZO Osserviamo c
Page 138 and 139: 146 A. DUMA - S. RIZZO § 4. Caso I
Page 140 and 141: 148 A. DUMA - S. RIZZO § 6. Casi I
Page 142 and 143: 150 A. DUMA - S. RIZZO § 7. Caso I
Page 144 and 145: 152 A. DUMA - S. RIZZO π+2B−ϕ2
Page 146 and 147: 154 A. DUMA - S. RIZZO § 11. Casi
Page 148 and 149: 156 A. DUMA - S. RIZZO ϕ2−B ϕ2
Page 150 and 151: THE GENERALIZED BUFFON-EXPERIMENT W
Page 162 and 163: 172 G. FAILLA 1. Plücker Relations
Page 164 and 165: 174 G. FAILLA Remark 1.10. The vect
Page 166 and 167: 176 G. FAILLA Grassmann-Plücker id
Page 168 and 169: 178 G. FAILLA Proof. We consider H2
Page 170 and 171: 180 G. FAILLA Finally ω ′ · (α
Page 172 and 173: 182 F. GRASSO - L. CUCURULLO The to
Page 174 and 175: 184 F. GRASSO - L. CUCURULLO In thi
Page 176 and 177: 186 F. GRASSO - L. CUCURULLO dei me
Page 178 and 179: 188 L. HEINRICH ¢ ¤£¦¥¨§¦¢
Page 180 and 181: 190 L. HEINRICH ¢ ¢ ¡ £¢ ¡
Page 184 and 185: 194 L. HEINRICH V (d) d (K) =νd(K)
Page 186 and 187: 196 L. HEINRICH §© ¥ §¥§ ¥
Page 188 and 189: 198 L. HEINRICH ¨§ ¥ ¥§¥ §
Page 190 and 191: 200 L. HEINRICH § ¥§§¥ ¤ Nϱ
Page 192 and 193: 202 L. HEINRICH © Z (d) k,ϱ (K)
Page 194 and 195: 204 L. HEINRICH ¥ §©¥ §¥
Page 196 and 197: 206 L. HEINRICH k, l =0, 1,...,d
Page 198 and 199: 208 L. HEINRICH ¥ ¤¦¥ § §
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Page 202 and 203: 212 L. HEINRICH §¦¥ ¡ ¢
Page 204 and 205: 214 L. HEINRICH ¦ ¡ Xϱ = √ ϱ
Page 206 and 207: 216 L. HEINRICH ¡ ¡ L(∂
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Page 210 and 211: 220 L. HEINRICH Ak = rN ( cos(2kϕN
Page 212 and 213: 222 L. HEINRICH ¡ ¢ ¨ ¡
Page 214 and 215: 224 M. IMBESI For example, if we co
Page 216 and 217: 226 M. IMBESI Remark 1 For any (i1,
Page 218 and 219: 228 M. IMBESI z1z2···z2r; w1w2·
Page 220 and 221: 230 M. IMBESI The class of the idea
Page 222 and 223: 232 M. IMBESI X12•;123 ,X13•;12
Page 224 and 225: 234 M. IMBESI But, in other way, we
Page 226 and 227: RENDICONTI MINIMAL DEL CIRCOLO VERT
Page 228 and 229: MINIMAL VERTEX COVERS AND MATCHING
Page 230 and 231: MINIMAL VERTEX COVERS AND MATCHING
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MINIMAL VERTEX COVERS AND MATCHING
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MINIMAL VERTEX COVERS AND MATCHING
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RENDICONTI DEL RISK CIRCOLO IN AGRI
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RISK IN AGRICULTURAL FIRM: A MATHEM
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Social Pol itical Macr o-economic T
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References RISK IN AGRICULTURAL FIR
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262 M. MARCHISIO - V. PERDUCA where
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264 M. MARCHISIO - V. PERDUCA Take
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266 M. MARCHISIO - V. PERDUCA and (
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268 M. MARCHISIO - V. PERDUCA Omitt
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270 M. MARCHISIO - V. PERDUCA Proof
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272 M. MARCHISIO - V. PERDUCA
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274 D. MARINO - R. TRAPASSO immigra
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276 D. MARINO - R. TRAPASSO forward
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278 D. MARINO - R. TRAPASSO represe
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280 D. MARINO - R. TRAPASSO Table 2
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282 D. MARINO - R. TRAPASSO Table 4
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284 D. MARINO - R. TRAPASSO Product
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286 D. MARINO - R. TRAPASSO Freeman
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RENDICONTI DEL A CIRCOLO DISTANCE M
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A DISTANCE DECAY MODEL FOR LOCAL SP
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4. Conclusion A DISTANCE DECAY MODE
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RENDICONTI RAIL DEL TRACK CIRCOLO S
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RAIL TRACK SUBSTRUCTURE RESISTANCE
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Tp Tg RAIL TRACK SUBSTRUCTURE RESIS
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RENDICONTI ASSESSING DEL RAIL CIRCO
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ASSESSING RAIL TRACK SUB-BALLAST RE
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0 20 40 60 80 100 ASSESSING RAIL TR
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JOINT DENSITY AND RELATED PERFORMAN
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Gmb 0,80 0,70 0,60 0,50 0,40 0,30 0
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334 A. PUGLISI where the notations
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336 A. PUGLISI
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338 G. RESTUCCIA 1 Let S = K [x1,..
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340 G. RESTUCCIA Proposition 2.2 Le
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342 G. RESTUCCIA 6 ′ . x j 2xk
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344 G. RESTUCCIA References [1] A.F
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346 P. L. STAGLIANÒ 1 Let A be a c
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348 P. L. STAGLIANÒ • L3 = L3 ,
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350 P. L. STAGLIANÒ Example 2.3 Le
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STATISTICAL TESTS FOR POINT PROCESS
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364 J. ZHOU - C. ZHOU - FANG MA 2 J
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366 J. ZHOU - C. ZHOU - FANG MA 4 J
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368 J. ZHOU - C. ZHOU - FANG MA
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370 A. ZIRILLI - A. ALIBRANDI 2 AGA
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378 A. ZIRILLI - A. ALIBRANDI 10 AG
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Serie II numero 81 - Dipartimento di Matematica e Informatica

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