LEADER 01179nam0 22003133i 450 001 CFI0478757 005 20231121125453.0 010 $a0859679047 100 $a20110922d1999 ||||0itac50 ba 101 | $aeng 102 $agb 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a˜The œarchaeology of medieval bookbinding$fJ. A. Szirmai 210 $aAldershot \etc.!$cAshgate$d1999 215 $aXVI, 352$cill.$d26 cm 300 $aBibliogr.: P. 320-345. 606 $aRilegature$xMedioevo$2FIR$3RMLC145820$9I 676 $a686.300902$9LEGATORIA. 500-1499$v21 700 1$aSzirmai$b, J. A.$3MILV227140$4070$0694003 801 3$aIT$bIT-01$c20110922 850 $aIT-RM1163 $aIT-FR0017 899 $aIstituto Centrale Restauro Conservazione Patrimonio Archivistico Librario$bRM1163 $4S 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 $eN 912 $aCFI0478757 950 0$aBiblioteca umanistica Giorgio Aprea$d 52SALA BRAGAS.S.L. 434$e 52COB0000902555 VMN RS $fA $h20141127$i20141127 977 $a 36$a 52 996 $aArchaeology of medieval bookbinding$91248173 997 $aUNICAS LEADER 04768nam 22006375 450 001 9910254309503321 005 20250325181113.0 010 $a9783319524016 010 $a3319524011 024 7 $a10.1007/978-3-319-52401-6 035 $a(CKB)3710000001127298 035 $a(MiAaPQ)EBC6312600 035 $a(MiAaPQ)EBC5591479 035 $a(DE-He213)978-3-319-52401-6 035 $a(EXLCZ)993710000001127298 100 $a20170330d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aProbability with Applications in Engineering, Science, and Technology /$fby Matthew A. Carlton, Jay L. Devore 205 $a2nd ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $aXXVI, 610 páginas$cgráficos (color)$d25 cm 225 1 $aSpringer Texts in Statistics,$x2197-4136 311 1 $a9783319524009 311 1 $a3319524003 320 $aIncluye referencias bibliográficas e índice 327 $aProbability -- Discrete Random Variables and Probability Distributions -- Continuous Random Variables and Probability Distributions -- Joint probability distributions and their applications -- The Basics of Statistical Inference -- Markov chains -- Random processes -- Introduction to signal processing. 330 $aThis updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book?s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8?available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook?s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four ?core? chapters alone?a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand ? in R and MATLAB, including code so that students can create simulations. New to this edition ?Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints ? Extended and revised instructions and solutions to problem sets ? Overhaul of Section 7.7 on continuous-time Markov chains ? Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students. 410 0$aSpringer Texts in Statistics,$x2197-4136 606 $aStatistics 606 $aProbabilities 606 $aStatistics 606 $aStatistical Theory and Methods 606 $aProbability Theory 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 615 0$aStatistics. 615 0$aProbabilities. 615 0$aStatistics. 615 14$aStatistical Theory and Methods. 615 24$aProbability Theory. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.2 686 $aB0240$2Inspec 700 $aCarlton$b Matthew A$0721697 702 $aDevore$b Jay L$4aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 801 2$bES-MaUAMPO 906 $aBOOK 912 $a9910254309503321 996 $aProbability with Applications in Engineering, Science, and Technology$92283983 997 $aUNINA