LEADER 01507nam 2200373Ia 450 001 996386641803316 005 20221108083405.0 035 $a(CKB)4940000000081439 035 $a(EEBO)2240867085 035 $a(OCoLC)14228057 035 $a(EXLCZ)994940000000081439 100 $a19860917d1692 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aSpeculum anni, or, An almanack for the year of our Lord God 1692$b[electronic resource] $ebeing the third after bissextile or leap-year, and from the worlds creation 5695 ... : calculated properly for the famous university and town of Cambridge ... but may indifferently serve for any place within this kingdom 210 $aCambridge [Cambridgeshire] $cPrinted by John Hayes ...$d1692 215 $a[48] p 300 $aAt head of title: Dove. 300 $aSecond part (p. [33-48]) has special t.p.: Dove 1692 : the later part of this almanack for the year of our Lord God 1692. 300 $aImperfect: stained and faded, with print show-through. 300 $aReproduction of original in the Bodleian Library. 330 $aeebo-0014 606 $aAlmanacs, English 606 $aAstrology$vEarly works to 1800 615 0$aAlmanacs, English. 615 0$aAstrology 700 $aDove$b Jonathan$0793111 801 0$bEAK 801 1$bEAK 801 2$bWaOLN 906 $aBOOK 912 $a996386641803316 996 $aSpeculum anni, or, An almanack for the year of our Lord God 1692$92375806 997 $aUNISA LEADER 03569nam 2200745Ia 450 001 9910154729603321 005 20200520144314.0 010 $a9786610926046 010 $a9781280926044 010 $a128092604X 010 $a9781554580811 010 $a1554580811 024 7 $a10.51644/9781554580811 035 $a(CKB)2430000000002544 035 $a(EBL)685572 035 $a(OCoLC)753479479 035 $a(SSID)ssj0000298352 035 $a(PQKBManifestationID)11224216 035 $a(PQKBTitleCode)TC0000298352 035 $a(PQKBWorkID)10344631 035 $a(PQKB)10731797 035 $a(MiAaPQ)EBC685572 035 $a(CaPaEBR)405786 035 $a(CaBNvSL)jme00326988 035 $a(MiAaPQ)EBC3246389 035 $a(OCoLC)137342360 035 $a(MdBmJHUP)muse14388 035 $a(PPN)163593302 035 $a(DE-B1597)667455 035 $a(DE-B1597)9781554580811 035 $a(VaAlCD)20.500.12592/0skxs1 035 $a(schport)gibson_crkn/2009-12-01/3/405786 035 $a(Perlego)1706304 035 $a(EXLCZ)992430000000002544 100 $a20040303d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHard choices $eclimate change in Canada /$fedited by Harold Coward and Andrew J. Weaver 205 $a1st ed. 210 $aWaterloo, Ont. $cPublished for Centre for Studies in Religion and Society by WLU Press$d2004 215 $a1 online resource (282 p.) 300 $aDescription based upon print version of record. 311 08$a9780889204423 311 08$a088920442X 320 $aIncludes bibliographical references and index. 327 $aThe science of climate change / Andrew J. Weaver -- The human challenges of climate change / Steve Lonergan -- Impacts of climate change in Canada / James P. Bruce and Stewart J. Cohen -- Terrest[r]ial carbon sinks and climate change mitigation / Nigel J. Livingston and G. Cornelius van Kooten -- Technology and climate change / Gerard F. McLean and Murray Love -- Economic aspects of climate change / G. Cornelius van Kooten -- Regional adaptation strategies / Stewart Cohen ... [et al.] -- Legal constraints and opportunities : climate change and the law / Alastair R. Lucas -- A Canadian policy chronicle / James P. Bruce and Doug Russell -- Beyond Kyoto? / Gordon S. Smith and David G. Victor -- What can individuals do? / Harold Coward. 330 $a Drought, floods, hurricanes, forest fires, ice storms, blackouts, dwindling fish stocks...what Canadian has not experienced one of these or more, or heard about the "greenhouse" effect, and not wondered what is happening to our climate? Yet most of us have a poor understanding of this extremely important issue, and need better, reliable scientific information. Hard Choices: Climate Change in Canada delivers some hard facts to help us make some of those hard choices. This new collection of essays by leading Canadian scientists, engineers, social scientists, and humanists off 606 $aClimatic changes$zCanada 606 $aClimatology 615 0$aClimatic changes 615 0$aClimatology. 676 $a551.6971 701 $aCoward$b Harold G$0642923 701 $aWeaver$b Andrew J$g(Andrew John),$f1961-$01092364 712 02$aUniversity of Victoria (B.C.).$bCentre for Studies in Religion and Society. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910154729603321 996 $aHard Choices$92861802 997 $aUNINA LEADER 05335nam 22007215 450 001 9911031662903321 005 20251001130449.0 010 $a3-031-84702-4 024 7 $a10.1007/978-3-031-84702-8 035 $a(CKB)41521030000041 035 $a(MiAaPQ)EBC32323734 035 $a(Au-PeEL)EBL32323734 035 $a(DE-He213)978-3-031-84702-8 035 $a(OCoLC)1547906670 035 $a(EXLCZ)9941521030000041 100 $a20251001d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Models and Learning Methods for Complex Data /$fedited by Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino, Maurizio Vichi 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (312 pages) 225 1 $aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 311 08$a3-031-84701-6 327 $a- Exploring latent evolving ability in test equating and its effects on final rankings -- Hidden Markov and related discrete latent variable models An application to compositional data -- An application of Natural Language Processing Analysis on TripAdvisor Reviews -- Modelling football players field position via mixture of Gaussians with flexible weights -- Estimation Issues in Multivariate Panel Data -- Testing linearity in the single functional index model for dependent data -- A multi-step approach for streamflow classification -- Identification of misogynistic accounts on Twitter through Graph Convolutional Networks -- Topic modeling of publication activity in Hungary and Poland in the fields of economics, finance, and business -- Circular kernel classification with errors-in-variables -- Classification Trees Applied to Time Lagged Data to Improve Quality in Official Statistics -- Trimmed factorial k-means a clustering application to a cookies dataset_Farné and Camillo -- Visualization of Proximity and Role-based Embeddings in a Regional Labour Flow Network -- Bridging the Gap Investigating Correlation Clustering and Manifold Learning Connections -- Improving Performance in Neural Networks by Dendrite-Activated Connection -- Regression models with compositional regressors in case of structural zeros -- Multi-Dimensional Robinson Dissimilarities -- Composite selection criteria for the number of components of a finite mixture for ordinal data -- Clustering of Italian higher education institutions based on a destination?specific approach -- Analyzing Italian crime data using matrix-variate hidden Markov models. 330 $aThis book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2023), held in Salerno, Italy, September 11?13, 2023. The contributions span a variety of topics, including different approaches to clustering and classification, multidimensional data analysis, panel data, social networks, time series, statistical inference, and mixture models. These methodologies are applied to a range of empirical domains such as economics, finance, hydrology, the social sciences, education, and sports. Organized biennially by international scientific committees, the CLADAG meetings advance methodological research in multivariate statistics, with a strong focus on data analysis and classification. They facilitate the exchange of ideas in these fields and promote the dissemination of concepts, numerical methods, algorithms, and computational and applied results. Chapter "Identification of misogynistic accounts on Twitter through Graph Convolutional Networks" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 606 $aMathematical statistics$xData processing 606 $aStatistics 606 $aStatistics 606 $aData mining 606 $aQuantitative research 606 $aStatistics and Computing 606 $aStatistical Theory and Methods 606 $aApplied Statistics 606 $aData Mining and Knowledge Discovery 606 $aData Analysis and Big Data 615 0$aMathematical statistics$xData processing. 615 0$aStatistics. 615 0$aStatistics. 615 0$aData mining. 615 0$aQuantitative research. 615 14$aStatistics and Computing. 615 24$aStatistical Theory and Methods. 615 24$aApplied Statistics. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Analysis and Big Data. 676 $a519.5 700 $aGiordano$b Giuseppe$09404 701 $aLa Rocca$b Michele$0116893 701 $aNiglio$b Marcella$0614197 701 $aRestaino$b Marialuisa$01460491 701 $aVichi$b Maurizio$0117728 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911031662903321 996 $aStatistical Models and Learning Methods for Complex Data$94444160 997 $aUNINA