LEADER 04725nam 2200721 450 001 9910820044303321 005 20230124191614.0 010 $a1-4399-0227-5 035 $a(CKB)3240000000065648 035 $a(MiAaPQ)EBC5611005 035 $a(Au-PeEL)EBL5611005 035 $a(OCoLC)1045660423 035 $a(EXLCZ)993240000000065648 100 $a20190104d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWhere I have never been $emigration, melancholia, and memory in Asian American narratives of return /$fPatricia P. Chu 210 1$aPhiladelphia ;$aRome ;$aTokyo :$cTemple University Press,$d2019. 215 $a1 online resource (277 pages) 225 1 $aAsian American history & culture 311 $a1-4399-0225-9 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- "Ears Attuned to Two Cultures": Reconciling Accounts in Cultural Curiosity -- Transpacific Echos in the Family Memoir: Sojourns and Returns in Lisa See's On Gold Mountain -- "The One Who Mediates": Mimicry, Melancholia, and Countermemory in The Concubine's Children -- Working Through Diasporic Melancholia: Winberg and May-lee Chai's The Girl From Purple Mountain -- "A Being ... from a Different World": Yung Wing and the Making of a Global Subjectivity -- "To Bring the Dead to Life": Countermemories in Minatoya's Stangeness of Beauty and Ozeki's A Tale for the Time Being -- Coda. 330 $a"In researching accounts of diasporic Chinese offspring who returned to their parents' ancestral country, author Patricia Chu learned that she was not alone in the experience of growing up in America with an abstract affinity to an ancestral homeland and community. The bittersweet emotions she had are shared in Asian American literature that depicts migration-related melancholia, contests official histories, and portrays Asian American families as flexible and transpacific. Where I Have Never Been explores the tropes of return, tracing both literal return visits by Asian emigrants and symbolic "returns": first visits by diasporic offspring. Chu argues that these Asian American narratives seek to remedy widely held anxieties about cultural loss and the erasure of personal and family histories from public memory. In fiction, memoirs, and personal essays, the writers of return narratives--including novelists Lisa See, May-lee Chai, Lydia Minatoya, and Ruth Ozeki, and best-selling author Denise Chong, diplomat Yung Wing, scholar Winberg Chai, essayist Josephine Khu, and many others--register and respond to personal and family losses through acts of remembrance and countermemory"--$cProvided by publisher. 330 $a"This manuscript looks at migration, melancholia, and memory in what the author calls "Asian American narratives of return," or fiction and nonfiction narratives in which the narrator visits the ancestral homeland in Asia"--$cProvided by publisher. 410 0$aAsian American history and culture. 606 $aAmerican literature$xAsian American authors$xHistory and criticism 606 $aAmerican literature$y20th century$xHistory and criticism 606 $aAmerican literature$y21st century$xHistory and criticism 606 $aAsian Americans$xEthnic identity 606 $aMemory in literature 606 $aMelancholy in literature 606 $aHomeland in literature 606 $aReturn in literature 606 $aEmigration and immigration in literature 606 $aAsian Americans in literature 606 $aLITERARY CRITICISM / American / Asian American$2bisacsh 606 $aSOCIAL SCIENCE / Ethnic Studies / Asian American Studies$2bisacsh 615 0$aAmerican literature$xAsian American authors$xHistory and criticism. 615 0$aAmerican literature$xHistory and criticism. 615 0$aAmerican literature$xHistory and criticism. 615 0$aAsian Americans$xEthnic identity. 615 0$aMemory in literature. 615 0$aMelancholy in literature. 615 0$aHomeland in literature. 615 0$aReturn in literature. 615 0$aEmigration and immigration in literature. 615 0$aAsian Americans in literature. 615 7$aLITERARY CRITICISM / American / Asian American. 615 7$aSOCIAL SCIENCE / Ethnic Studies / Asian American Studies. 676 $a810.9/895073 686 $aLIT004030$aSOC043000$2bisacsh 700 $aChu$b Patricia P.$01675236 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910820044303321 996 $aWhere I have never been$94040559 997 $aUNINA LEADER 03653nam 22005895 450 001 9910254092603321 005 20200704010903.0 010 $a3-319-26497-4 024 7 $a10.1007/978-3-319-26497-4 035 $a(CKB)3710000000837575 035 $a(DE-He213)978-3-319-26497-4 035 $a(MiAaPQ)EBC6311598 035 $a(MiAaPQ)EBC5586527 035 $a(Au-PeEL)EBL5586527 035 $a(OCoLC)957517649 035 $a(PPN)194805891 035 $a(EXLCZ)993710000000837575 100 $a20160816d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Statistics for Economics and Business /$fby Durmu? Özdemir 205 $a2nd ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XXI, 303 p. 116 illus., 3 illus. in color.) 311 $a3-319-26495-8 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- 1.Collecting Data -- 2.Data presentation: Graphs, Frequency Tables and Histograms -- 3.Measures of Location -- 4.Measures of Dispersion -- 5.Index Numbers -- 6.Inequality Indices -- 7.Probability Theory -- 8.Probability Distributions -- 9.Estimation and Confidence Intervals -- 10.Hypothesis Testing -- 11.The ?2, F-Distributions and the ANOVA -- 12.Correlation -- 13.Simple Regression. Chapter 14.Multiple Regression -- 15.The Analysis of Time Series -- Appendix . 330 $aThis textbook introduces readers to practical statistical issues by presenting them within the context of real-life economics and business situations. It presents the subject in a non-threatening manner, with an emphasis on concise, easily understandable explanations. It has been designed to be accessible and student-friendly and, as an added learning feature, provides all the relevant data required to complete the accompanying exercises and computing problems, which are presented at the end of each chapter. It also discusses index numbers and inequality indices in detail, since these are of particular importance to students and commonly omitted in textbooks. Throughout the text it is assumed that the student has no prior knowledge of statistics. It is aimed primarily at business and economics undergraduates, providing them with the basic statistical skills necessary for further study of their subject. However, students of other disciplines will also find it relevant. 606 $aStatistics 606 $aBusiness mathematics 606 $aEconomics 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aBusiness Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/523000 606 $aEconomic Theory/Quantitative Economics/Mathematical Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/W29000 615 0$aStatistics. 615 0$aBusiness mathematics. 615 0$aEconomics. 615 14$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aBusiness Mathematics. 615 24$aEconomic Theory/Quantitative Economics/Mathematical Methods. 676 $a330.015195 700 $aÖzdemir$b Durmu?$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755832 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254092603321 996 $aApplied Statistics for Economics and Business$91523160 997 $aUNINA