LEADER 04782nam 2200745 450 001 9910464379203321 005 20211009002217.0 010 $a0-300-17006-8 024 7 $a10.12987/9780300170061 035 $a(CKB)3710000000077194 035 $a(EBL)3421349 035 $a(SSID)ssj0001158906 035 $a(PQKBManifestationID)11648511 035 $a(PQKBTitleCode)TC0001158906 035 $a(PQKBWorkID)11108314 035 $a(PQKB)10018421 035 $a(SSID)ssj0001400614 035 $a(PQKBManifestationID)12484129 035 $a(PQKBTitleCode)TC0001400614 035 $a(PQKBWorkID)11338891 035 $a(PQKB)10331549 035 $a(MiAaPQ)EBC3421349 035 $a(DE-B1597)486367 035 $a(OCoLC)1024006718 035 $a(OCoLC)1029832266 035 $a(OCoLC)1032692198 035 $a(OCoLC)1037968659 035 $a(OCoLC)1042026731 035 $a(OCoLC)1046602579 035 $a(OCoLC)1046997576 035 $a(OCoLC)1049625604 035 $a(OCoLC)1054863830 035 $a(DE-B1597)9780300170061 035 $a(Au-PeEL)EBL3421349 035 $a(CaPaEBR)ebr10819831 035 $a(OCoLC)866737596 035 $a(EXLCZ)993710000000077194 100 $a20131227h20132010 uy 0 101 0 $aeng 135 $aurnn#---|u||u 181 $ctxt 182 $cc 183 $acr 200 10$aGalileo $ewatcher of the skies /$fDavid Wootton 210 1$aNew Haven, Connecticut :$cYale University Press,$d2013. 210 4$dİ2010 215 $a1 online resource (357 p.) 300 $aDescription based upon print version of record. 311 0 $a0-300-12536-4 311 0 $a0-300-19729-2 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tContents --$tIllustrations --$tAcknowledgements --$tIntroduction: Conjectural history --$t1. His father's son --$t2. Florence --$t3. Galileo's lamp --$t4. Eureka! --$t5. Seeing is believing --$t6. A friend in need --$t7. Juvenilia --$t8. The Leaning Tower --$t9. Inertia --$t10. Nudism --$t11. Copernicanism --$t12. Money --$t13. Fields of fire --$t14. The experimental method --$t15. The telescope --$t16. Mother --$t17. The Starry Messenger --$t18. Florence and buoyancy --$t19. Jesuits and the new astronomy --$t20. Sunspots --$t21. The Catholic scientist --$t22. Copernicus condemned --$t23. Comets --$t24. The death of Gianfrancesco Sagredo --$t25. Urban VIII --$t26. Family ties --$t27. Permission to publish --$t28. Alessandra Buonamici --$t29. A river floods --$t30. Publication --$t31. The Dialogue --$t32. Maria Celeste and Arcetri --$t33. Trial --$t34. The Two New Sciences --$t35. Vincenzo, son of Galileo --$t36. Galileo's (un)belief --$t37. The cosmography of the self --$tCoda: Galileo, history and the historians --$tNotes --$tBibliography --$tIndex 330 $aGalileo (1564-1642) is one of the most important and controversial figures in the history of science. A hero of modern science and key to its birth, he was also a deeply divided man: a scholar committed to the establishment of scientific truth yet forced to concede the importance of faith, and a brilliant analyst of the elegantly mathematical workings of nature yet bungling and insensitive with his own family.Tackling Galileo as astronomer, engineer, and author, David Wootton places him at the center of Renaissance culture. He traces Galileo through his early rebellious years; the beginnings of his scientific career constructing a "new physics"; his move to Florence seeking money, status, and greater freedom to attack intellectual orthodoxies; his trial for heresy and narrow escape from torture; and his house arrest and physical (though not intellectual) decline. Wootton reveals much that is new-from Galileo's premature Copernicanism to a previously unrecognized illegitimate daughter-and, controversially, rejects the long-established orthodoxy which holds that Galileo was a good Catholic. Absolutely central to Galileo's significance-and to science more broadly-is the telescope, the potential of which Galileo was the first to grasp. Wootton makes clear that it totally revolutionized and galvanized scientific endeavor to discover new and previously unimagined facts. Drawing extensively on Galileo's voluminous letters, many of which were self-censored and sly, this is an original, arresting, and highly readable biography of a difficult, remarkable Renaissance genius. 606 $aAstronomers$zItaly$vBiography 608 $aElectronic books. 615 0$aAstronomers 676 $a520.92 700 $aWootton$b David$f1952-$0157522 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464379203321 996 $aGalileo$92457729 997 $aUNINA LEADER 01839oam 2200493M 450 001 9910716149603321 005 20200213070924.6 035 $a(CKB)5470000002518619 035 $a(OCoLC)1065609714 035 $a(OCoLC)995470000002518619 035 $a(EXLCZ)995470000002518619 100 $a20071213d1926 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aA.S. Guffey. March 6, 1926. -- Committed to the Committee of the Whole House and ordered to be printed 210 1$a[Washington, D.C.] :$c[U.S. Government Printing Office],$d1926. 215 $a1 online resource (6 pages)$ctables 225 1 $aHouse report / 69th Congress, 1st session. House ;$vno. 475 225 1 $a[United States congressional serial set] ;$v[serial no. 8536] 300 $aBatch processed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aFDLP item number not assigned. 606 $aClaims 606 $aEmbezzlement 606 $aLegislative amendments 606 $aPostal service$xLaw and legislation$zUnited States$xCriminal provisions 606 $aPostal service$xEmployees 608 $aLegislative materials.$2lcgft 615 0$aClaims. 615 0$aEmbezzlement. 615 0$aLegislative amendments. 615 0$aPostal service$xLaw and legislation$xCriminal provisions. 615 0$aPostal service$xEmployees. 701 $aKeller$b Oscar Edward$f1878-1927$pRepublican (MN)$01386814 801 0$bWYU 801 1$bWYU 801 2$bOCLCO 801 2$bOCLCQ 906 $aBOOK 912 $a9910716149603321 996 $aA.S. Guffey. March 6, 1926. -- Committed to the Committee of the Whole House and ordered to be printed$93489766 997 $aUNINA LEADER 05105nam 22006255 450 001 9910155548503321 005 20250504235539.0 024 7 $a10.1007/978-981-10-2594-5 035 $a(CKB)3710000000964880 035 $a(DE-He213)978-981-10-2594-5 035 $a(MiAaPQ)EBC4755488 035 $a(PPN)197453902 035 $a(EXLCZ)993710000000964880 100 $a20161201d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Statistical Methods in Data Science /$fedited by Ding-Geng Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu 205 $a1st ed. 2016. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2016. 215 $a1 online resource (XVI, 222 p. 41 illus., 20 illus. in color.) 225 1 $aICSA Book Series in Statistics,$x2199-0999 311 08$a981-10-2593-2 311 08$a981-10-2594-0 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aPart I: Data Analysis Based on Latent or Dependent Variable Models -- Chapter 1: A New Method for Robust Mixture Regression and Outlier Detection -- Chapter 2: The Mixture Gatekeeping Procedure Based on Weighted Multiple Testing Correction for Correlated Tests -- Chapter 3: Regularization in Regime-switching Gaussian Autoregressive Models -- Chapter 4: Modeling Zero Inflation and Over-dispersion in the Length of Hospital Stay for Patients with Ischaemic Heart Disease -- Chapter 5: Robust Optimal Interval Design for High-Dimensional Dose Finding in Multi-Agent Combination Trials -- Part II: Life Time Data Analysis -- Chapter 6: Group Selection in Semi-parametric Accelerated Failure Time Model -- Chapter 7: A Proportional Odds Model for Regression Analysis of Case I Interval-Censored Data -- Chapter 8: Empirical Likelihood Inference under Density Ratio Models Based on Type I Censored Samples: Hypothesis Testing and Quantile Estimation -- Chapter 9: Recent Development in the Joint Modeling of Longitudinal Quality of Life Measurements and Survival Data from Cancer Clinical Trials -- Part III: Applied Data Analysis -- Chapter 10: Confidence Weighting Procedures for Multiple Choice Tests -- Chapter 11: Improving the Robustness of Parametric Imputation -- Chapter 12: Maximum Smoothed Likelihood Estimation of the Centre of a Symmetric Distribution -- Chapter 13: Dividend Pay-out Problems with the Logarithmic Utility -- Chapter 14: Modeling the Common Risk among Equities: A Multivariate Time Series Model with an Additive GARCH Structure. 330 $aThis book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world.  It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences. 410 0$aICSA Book Series in Statistics,$x2199-0999 606 $aStatistics 606 $aQuantitative research 606 $aStatistics 606 $aStatistical Theory and Methods 606 $aData Analysis and Big Data 606 $aStatistics in Business, Management, Economics, Finance, Insurance 615 0$aStatistics. 615 0$aQuantitative research. 615 0$aStatistics. 615 14$aStatistical Theory and Methods. 615 24$aData Analysis and Big Data. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 676 $a519.50285 702 $aChen$b Ding-Geng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Jiahua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLu$b Xuewen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYi$b Grace Y.$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYu$b Hao$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155548503321 996 $aAdvanced statistical methods in data science$91523065 997 $aUNINA