LEADER 02661oam 2200637I 450 001 9910462774003321 005 20200520144314.0 010 $a1-283-92016-6 010 $a0-203-07266-9 010 $a1-135-10054-3 024 7 $a10.4324/9780203072660 035 $a(CKB)2670000000315304 035 $a(EBL)1104804 035 $a(OCoLC)823390013 035 $a(SSID)ssj0000852372 035 $a(PQKBManifestationID)11464635 035 $a(PQKBTitleCode)TC0000852372 035 $a(PQKBWorkID)10852846 035 $a(PQKB)10410892 035 $a(MiAaPQ)EBC1104804 035 $a(Au-PeEL)EBL1104804 035 $a(CaPaEBR)ebr10641643 035 $a(CaONFJC)MIL423266 035 $a(OCoLC)823319189 035 $a(EXLCZ)992670000000315304 100 $a20180706e20131969 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBertrand Russell's theory of knowledge /$fElizabeth Ramsden Eames 210 1$aAbingdon, Oxon :$cRoutledge,$d2013. 215 $a1 online resource (241 p.) 225 0 $aRoutledge library editions. Russell ;$vv. 2 300 $aFirst published in 1969 by George Allen and Unwin Ltd. 311 $a1-138-00817-6 311 $a0-415-66211-7 320 $aIncludes bibliographical references and index. 327 $aCover; Bertrand Russell's Theory Of Knowledge; Copyright; Preface; Contents; I. Introduction; II. The Nature of Philosophy; III. The Method of Analysis; IV. Russell's Empiricism; V. Realism; VI. Conclusion; Bibliography; Index 330 $aWhen future generations come to analyze and survey twentieth-century philosophy as a whole, Bertrand Russell's logic and theory of knowledge is assured a place of prime importance. Yet until this book was first published in 1969 no comprehensive treatment of his epistemology had appeared. Commentators on twentieth-century philosophy at the time assumed that Russell's important contributions to the theory of knowledge were made before 1921. This book challenges that assumption and draws attention to features of Russell's later work which were overlooked.The analysis starts with Russel 410 0$aRoutledge library editions.$pRussell. 606 $aKnowledge, Theory of 608 $aElectronic books. 615 0$aKnowledge, Theory of. 676 $a121.0924 676 $a121/.0924 676 $a192 700 $aEames$b Elizabeth Ramsden.$0460319 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910462774003321 996 $aBertrand Russell's theory of knowledge$92132160 997 $aUNINA LEADER 04533nam 22006615 450 001 996418277103316 005 20200719174325.0 010 $a3-030-48814-4 024 7 $a10.1007/978-3-030-48814-7 035 $a(CKB)4100000011354661 035 $a(DE-He213)978-3-030-48814-7 035 $a(MiAaPQ)EBC6273170 035 $a(PPN)269148779 035 $a(EXLCZ)994100000011354661 100 $a20200719d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalytical Methods in Statistics$b[electronic resource] $eAMISTAT, Liberec, Czech Republic, September 2019 /$fedited by Matú? Maciak, Michal Pe?ta, Martin Schindler 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 156 p. 15 illus., 8 illus. in color.) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v329 311 $a3-030-48813-6 327 $aPreface -- Y. Güney, J. Jure?ková and O. Arslan, Averaged Autoregression Quantiles in Autoregressive Model -- J. Kalina and P. Vidnerová, Regression Neural Networks with a Highly Robust Loss Function -- H. L. Koul and P. Geng, Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models -- M. Maciak, M. Pe?ta and S. Vitali, Implied Volatility Surface Estimation via Quantile Regularization -- I. Mizera, A remark on the Grenander estimator -- U. Radoji?i? and K. Nordhausen, Non-Gaussian Component Analysis: Testing the Dimension of the Signal Subspace -- P. Vidnerová, J. Kalina and Y. Güney, A Comparison of Robust Model Choice Criteria within a Metalearning Study -- S. Zwanzig and R. Ahmad, On Parameter Estimation for High Dimensional Errors-in-Variables Models. 330 $aThis book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held in Liberec, Czech Republic, on September 16-19, 2019. Real-life problems demand statistical solutions, which in turn require new and profound mathematical methods. As such, the book is not only a collection of solved problems but also a source of new methods and their practical extensions. The authoritative contributions focus on analytical methods in statistics, asymptotics, estimation and Fisher information, robustness, stochastic models and inequalities, and other related fields; further, they address e.g. average autoregression quantiles, neural networks, weighted empirical minimum distance estimators, implied volatility surface estimation, the Grenander estimator, non-Gaussian component analysis, meta learning, and high-dimensional errors-in-variables models. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v329 606 $aStatistics  606 $aProbabilities 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aApplications of Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M13003 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aApplied Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/S17000 615 0$aStatistics . 615 0$aProbabilities. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 14$aStatistical Theory and Methods. 615 24$aProbability Theory and Stochastic Processes. 615 24$aApplications of Mathematics. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aApplied Statistics. 676 $a519.5 702 $aMaciak$b Matú?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPe?ta$b Michal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchindler$b Martin$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418277103316 996 $aAnalytical Methods in Statistics$91562363 997 $aUNISA