LEADER 02585nam 2200517 450 001 9910158620903321 005 20230810001636.0 010 $a1-943156-20-4 010 $a1-943156-19-0 035 $a(CKB)3710000001008218 035 $a(MiAaPQ)EBC4775443 035 $a(MiAaPQ)EBC6955029 035 $a(Au-PeEL)EBL6955029 035 $a(EXLCZ)993710000001008218 100 $a20170117h20172017 uy 1 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aCages /$fSylvia Torti 210 1$aTucson, Arizona :$cSchaffner Press,$d2017. 210 4$dİ2017 215 $a1 online resource (300 pages) 311 $a1-943156-18-2 330 $a"CAGES is a haunting and revealing novel that concerns the ethics and motives of scientific inquiry in which two neurologists are engaged in divergent quests: one to locate the source of memory and the other to study speech patterns in humans by analyzing and manipulating bird vocalization. Both men use experiments on live songbirds in a laboratory on a university campus, and both become romantically intertwined with a woman lab assistant who takes issue with their methods, and argues for the "agency" of all living things. Overshadowing this trio are significant figures from their individual pasts--a distant mother, a former girlfriend, a best friend and ornithological expert who dies tragically while conducting field research in the Amazon, and a mentor turned lover and nemesis. This is a subtly layered novel rich in natural description and sense of place that grapples with serious philosophical and moral themes, peopled by characters who must confront the emotional truths in their lives in order to be released from their own, individual cages"--$cProvided by publisher. 606 $aAnimal welfare$xMoral and ethical aspects$vFiction 606 $aTriangles (Interpersonal relations)$vFiction 606 $aSelf-actualization (Psychology)$vFiction 606 $aSelf-realization$vFiction 606 $aScientists$vFiction 615 0$aAnimal welfare$xMoral and ethical aspects 615 0$aTriangles (Interpersonal relations) 615 0$aSelf-actualization (Psychology) 615 0$aSelf-realization 615 0$aScientists 676 $a813/.6 686 $aFIC019000$aFIC000000$2bisacsh 700 $aTorti$b Sylvia$f1968-$01221415 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910158620903321 996 $aCages$92832633 997 $aUNINA LEADER 03943nam 22005895 450 001 9910337680903321 005 20251010082403.0 010 $a3-030-03614-6 024 7 $a10.1007/978-3-030-03614-0 035 $a(CKB)4930000000042010 035 $a(MiAaPQ)EBC5742502 035 $a(DE-He213)978-3-030-03614-0 035 $a(MiAaPQ)EBC5917728 035 $a(EXLCZ)994930000000042010 100 $a20190327d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Econometric Analysis of Non-Stationary Spatial Panel Data /$fby Michael Beenstock, Daniel Felsenstein 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (280 pages) 225 1 $aAdvances in Spatial Science, The Regional Science Series,$x2197-9375 311 08$a3-030-03613-8 320 $aIncludes bibliographical references. 327 $a1 Space and Time are Inextricably Interwoven -- 2 Time Series for Spatial Econometricians -- 3 Spatial Data Analysis and Econometrics -- 4 The Spatial Conectivity Matrix -- 5 Unit Root and Cointegration Tests in Spatial Cross-Section Data -- 6 Spatial Vector Autoregressions -- 7 Unit Root and Cointegration Tests for Spatially Dependent Panel Data -- 8 Cointegration in Non-Stationary Panel Data -- 9 Spatial Vector Error Correction -- 10 Strong and Weak Cross-Section Dependence in Non-Stationary Spatial Panel Data. . 330 $aThis monograph deals with spatially dependent non-stationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis. After charting key concepts in both time series and spatial econometrics, the book discusses how the spatial connectivity matrix can be estimated using spatial panel data instead of assuming it to be exogenously fixed. This is followed by a discussion of spatial non-stationarity in spatial cross-section data, and a full exposition of non stationarity in both single and multi-equation contexts, including the estimation and simulation of spatial vector autoregression (VAR) models and spatial error correction (ECM) models. The book reviews the literature on panel unit root tests and panel cointegration tests for spatially independent data, and for data that are strongly spatially dependent. It provides for the first time criticalvalues for panel unit root tests and panel cointegration tests when the spatial panel data are weakly or spatially dependent. The volume concludes with a discussion of incorporating strong and weak spatial dependence in non-stationary panel data models. All discussions are accompanied by empirical testing based on a spatial panel data of house prices in Israel. . 410 0$aAdvances in Spatial Science, The Regional Science Series,$x2197-9375 606 $aEconometrics 606 $aRegional economics 606 $aSpace in economics 606 $aStatistics 606 $aEconometrics 606 $aRegional and Spatial Economics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 615 0$aEconometrics. 615 0$aRegional economics. 615 0$aSpace in economics. 615 0$aStatistics. 615 14$aEconometrics. 615 24$aRegional and Spatial Economics. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 676 $a330.015195 676 $a519.55 700 $aBeenstock$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut$0122913 702 $aFelsenstein$b Daniel$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910337680903321 996 $aThe Econometric Analysis of Non-Stationary Spatial Panel Data$92232924 997 $aUNINA