LEADER 02317nam 22006494a 450 001 9910451133803321 005 20200520144314.0 010 $a1-134-39812-3 010 $a0-203-34956-3 010 $a1-280-07778-6 010 $a0-203-62282-0 035 $a(CKB)1000000000254908 035 $a(EBL)182535 035 $a(OCoLC)475896283 035 $a(SSID)ssj0000301307 035 $a(PQKBManifestationID)11235519 035 $a(PQKBTitleCode)TC0000301307 035 $a(PQKBWorkID)10263251 035 $a(PQKB)10608304 035 $a(MiAaPQ)EBC182535 035 $a(Au-PeEL)EBL182535 035 $a(CaPaEBR)ebr10161649 035 $a(CaONFJC)MIL7778 035 $a(OCoLC)437055398 035 $a(EXLCZ)991000000000254908 100 $a20031106d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe language of work$b[electronic resource] /$fAlmut Koester 210 $aLondon ;$aNew York, NY $cRoutledge$d2004 215 $a1 online resource (137 p.) 225 1 $aIntertext 300 $aDescription based upon print version of record. 311 $a0-415-30729-5 311 $a0-415-30730-9 320 $aIncludes bibliographical references (p. 117-119) and index. 327 $aBook Cover; Title; Contents; Acknowledgements; Notes on transcription; Introduction to the language of work; Perspectives on the world of work; Written workplace genres; Spoken workplace genres; Relationships at work; Entering the job market; References and further reading; Index of terms; 330 $aThe Language of Work examines language use in business and the workplace, representations of work and how people in business interact. Includes many real-world examples and a section on entering the world of work. 410 0$aIntertext (London, England) 606 $aLanguage and languages 606 $aBusiness$xLanguage 608 $aElectronic books. 615 0$aLanguage and languages. 615 0$aBusiness$xLanguage. 676 $a306.44 686 $a05.12$2bcl 700 $aKoester$b Almut$0300661 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910451133803321 996 $aLanguage of work$9731595 997 $aUNINA LEADER 02767oam 22006374a 450 001 9910796388003321 005 20191222111305.0 010 $a1-5261-2055-0 010 $a1-5261-2054-2 024 7 $a10.7765/9781526120540 035 $a(CKB)3790000000540119 035 $a(MiAaPQ)EBC5188151 035 $a(OCoLC)1132662323 035 $a(MdBmJHUP)muse77836 035 $a(DE-B1597)659778 035 $a(DE-B1597)9781526120540 035 $a(EXLCZ)993790000000540119 100 $a20180424h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 12$aA cultural history of chess-players$eMinds, machines, and monsters /$fJohn Sharples 210 1$aManchester, [Michigan] :$cManchester University Press,$d2017. 210 4$dİ2017 215 $a1 online resource (225 pages) 311 $a1-78499-420-0 320 $aIncludes bibliographical references (pages 217-218) and index. 330 $aThis inquiry concerns the cultural history of the chess-player. It takes as its premise the idea that the chess-player has become a fragmented collection of images, underpinned by challenges to, and confirmations of, chess's status as an intellectually-superior and socially-useful game, particularly since the medieval period. Yet, the chess-player is an understudied figure. No previous work has shone a light on the chess-player itself. Increasingly, chess-histories have retreated into tidy consensus. This work aspires to a novel reading of the figure as both a flickering beacon of reason and a sign of monstrosity. To this end, this book, utilising a wide range of sources, including newspapers, periodicals, detective novels, science-fiction, and comic-books, is underpinned by the idea that the chess-player is a pluralistic subject used to articulate a number of anxieties pertaining to themes of mind, machine, and monster. 606 $aChess$xSocial aspects 606 $aChess players$vBiography 608 $aElectronic books. 610 $aanimal. 610 $aautomaton chess-player. 610 $achild prodigy. 610 $adetective fiction. 610 $amasculinities. 610 $amelancholic. 610 $amonstrosity. 610 $amonstrous bodies. 610 $amoralities. 610 $asinner. 610 $astatuesque chess-player. 610 $asuperhero. 610 $atranshuman. 615 0$aChess$xSocial aspects 615 0$aChess players 676 $a794.1092/2 700 $aSharples$b John$01511220 801 0$bMdBmJHUP 801 1$bMdBmJHUP 906 $aBOOK 912 $a9910796388003321 996 $aA cultural history of chess-players$93744324 997 $aUNINA LEADER 03171nam 2200721Ia 450 001 9910961130403321 005 20200520144314.0 010 $a1-04-020464-3 010 $a0-429-13390-1 010 $a1-283-31148-8 010 $a9786613311481 010 $a1-4200-9966-3 024 7 $a10.1201/b10956 035 $a(CKB)2670000000122506 035 $a(EBL)1633203 035 $a(SSID)ssj0000546079 035 $a(PQKBManifestationID)11391364 035 $a(PQKBTitleCode)TC0000546079 035 $a(PQKBWorkID)10509898 035 $a(PQKB)11275703 035 $a(Au-PeEL)EBL1633203 035 $a(CaPaEBR)ebr10502499 035 $a(CaONFJC)MIL331148 035 $a(OCoLC)740912851 035 $a(OCoLC)759865776 035 $a(OCoLC)1289859176 035 $a(FINmELB)ELB140752 035 $a(MiAaPQ)EBC1633203 035 $a(EXLCZ)992670000000122506 100 $a20110630d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical inference $ethe minimum distance approach /$fAyanendranath Basu, Hiroyuki Shioya, Chanseok Park 205 $a1st ed. 210 $aBoca Raton, FL $cCRC Press$dc2011 215 $a1 online resource (424 p.) 225 1 $aMonographs on statistics and applied probability ;$v120 300 $aA Chapman & Hall book. 311 08$a1-4200-9965-5 320 $aIncludes bibliographical references. 327 $aFront Cover; Dedication; Contents; Preface; Acknowledgments; 1. Introduction; 2. Statistical Distances; 3. Continuous Models; 4. Measures of Robustness and Computational Issues; 5. The Hypothesis Testing Problem; 6. Techniques for Inlier Modification; 7. Weighted Likelihood Estimation; 8. Multinomial Goodness-of-Fit Testing; 9. The Density Power Divergence; 10. Other Applications; 11. Distance Measures in Information and Engineering; 12. Applications to Other Models; Bibliography 330 $aIn many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by ""Minimum Distance Estimation"" is literally huge. Filling a statistical resource gap, Statistical Inference: The Minimum Distance Approach comprehensively overviews developments in density-based minimum distance inference for independently and identically distributed data. Extensions to other more complex models are also discussed. Compr 410 0$aMonographs on statistics and applied probability ;$v120. 606 $aEstimation theory 606 $aDistances 615 0$aEstimation theory. 615 0$aDistances. 676 $a519.5/44 686 $aCOM000000$aMAT029000$2bisacsh 686 $aMAT 625f$2stub 700 $aBasu$b Ayanendranath$0517806 701 $aShioya$b Hiroyuki$0517807 701 $aPark$b Chanseok$0517808 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910961130403321 996 $aStatistical inference$9848753 997 $aUNINA