LEADER 03009nam 2200673Ia 450 001 9910451656003321 005 20200520144314.0 010 $a0-8166-9758-2 035 $a(CKB)1000000000346683 035 $a(EBL)310733 035 $a(OCoLC)191935634 035 $a(SSID)ssj0000277191 035 $a(PQKBManifestationID)11205005 035 $a(PQKBTitleCode)TC0000277191 035 $a(PQKBWorkID)10234035 035 $a(PQKB)11502250 035 $a(MiAaPQ)EBC310733 035 $a(MdBmJHUP)muse38813 035 $a(Au-PeEL)EBL310733 035 $a(CaPaEBR)ebr10151341 035 $a(CaONFJC)MIL523031 035 $a(EXLCZ)991000000000346683 100 $a20050627d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBefore intimacy$b[electronic resource] $easocial sexuality in early modern England /$fDaniel Juan Gil 210 $aMinneapolis, Minn. ;$aLondon $cUniversity of Minnesota Press$dc2006 215 $a1 online resource (206 p.) 300 $aDescription based upon print version of record. 311 $a0-8166-4633-3 311 $a0-8166-4632-5 320 $aIncludes bibliographical references (p. 139-180) and index. 327 $tThe social structure of passion --$tIntimacy and the eroticism of social distance : Sidney's Astrophil and Stella and Spenser's Amoretti --$tCivility and the emotional topography of The Faerie queene --$tAt the limits of the social world : fear and pride in Shakespeare's Troilus and Cressida --$tPoetic autonomy and the history of sexuality in Shakespeare's sonnets. 330 $aDaniel Juan Gil examines sixteenth-century English literary concepts of sexuality that frame erotic ties as neither bound by social customs nor transgressive of them, but rather as "loopholes" in people's associations. Engaging Sidney's Astrophil and Stella, Spenser's The Faerie Queene, and Shakespeare's Sonnets, among others Gil demonstrates how sexuality was conceived as a relationship system not institutionalized in a domestic realm. 606 $aEnglish literature$yEarly modern, 1500-1700$xHistory and criticism 606 $aLiterature and society$zEngland$xHistory$y16th century 606 $aLiterature and society$zEngland$xHistory$y17th century 606 $aSex customs$zEngland$xHistory$y16th century 606 $aSex customs$zEngland$xHistory$y17th century 606 $aSex in literature 608 $aElectronic books. 615 0$aEnglish literature$xHistory and criticism. 615 0$aLiterature and society$xHistory 615 0$aLiterature and society$xHistory 615 0$aSex customs$xHistory 615 0$aSex customs$xHistory 615 0$aSex in literature. 676 $a820.9353809031 700 $aGil$b Daniel Juan$0956232 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910451656003321 996 $aBefore intimacy$92164979 997 $aUNINA LEADER 02248oam 2200385 450 001 9910812211703321 005 20231222222512.0 010 $a1-119-72045-1 010 $a1-119-72044-3 010 $a1-119-72046-X 035 $a(CKB)4100000010871052 035 $a(MiAaPQ)EBC6173680 035 $a(EXLCZ)994100000010871052 100 $a20200803d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamics of statistical experiments. /$fDmitri Koroliouk 210 1$aHoboken, N.J. :$cISTE Ltd / John Wiley and Sons Inc,$d2020. 215 $a1 online resource (229 pages) $cillustrations 311 0 $a1-78630-598-4 330 $aThis book is devoted to the system analysis of statistical experiments, determined by the averaged sums of sampling random variables. The dynamics of statistical experiments are given by difference stochastic equations with a speci'ed regression function of increments ' linear or nonlinear. The statistical experiments are studied by the sample volume increasing (N ''), as well as in discrete-continuous time by the number of stages increasing (k '') for different conditions imposed on the regression function of increments. The proofs of limit theorems employ modern methods for the operator and martingale characterization of Markov processes, including singular perturbation methods. Furthermore, they justify the representation of a stationary Gaussian statistical experiment with the Markov property, as a stochastic difference equation solution, applying the theorem of normal correlation. The statistical hypotheses verification problem is formulated in the classification of evolutionary processes, which determine the dynamics of the predictable component. The method of stochastic approximation is used for classifying statistical experiments. 606 $aMathematical statistics 615 0$aMathematical statistics. 676 $a780 700 $aKoroliouk$b Dmitri$01676146 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910812211703321 996 $aDynamics of statistical experiments$94042153 997 $aUNINA